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Journal articles on the topic 'Data rescue and reuse'
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1
Scheel, Christian, Francesca Fallucchi, and Ernesto William De Luca. "Visualization, Interaction and Analysis of Heterogeneous Textbook Resources." Future Internet 12, no. 10 (2020): 176. http://dx.doi.org/10.3390/fi12100176.
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Historically grown research projects, run by researchers with limited understanding of data sustainability, data reusability and standards, often lead to data silos. While the data are very valuable it can not be used by any service except the tool it was prepared for. Over the years, the number of such data graveyards will increase because new projects will always be designed from scratch. In this work we propose a Component Metadata Infrastructure (CMDI)-based approach for data rescue and data reuse, where data are retroactively joined into one repository minimizing the implementation effort of future research projects.
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Kennedy, Mary, and Andrew Sherin. "Cookbooks and Curriculum." Biodiversity Information Science and Standards 1 (August 18, 2017): e20405. https://doi.org/10.3897/tdwgproceedings.1.20405.
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Since 2014, the Coastal and Ocean Information Network Atlantic (COINAtlantic) in collaboration with the Canadian node of the Ocean Biogeographic Information System (OBIS) and other academic, government and non-governmental organizations in Atlantic Canada have been rescuing species occurrence data in primary and grey literature and processing it to standards for publication through OBIS. The project has been funded in part by the Atlantic Ecosystem Initiative of Environment and Climate Change Canada and Fisheries and Oceans Canada. The project was awarded Honourable Mention in the 2016 International Data Rescue Award in the Geosciences by Elsevier and the Interdisciplinary Earth Data Alliance. COINAtlantic and OBIS share common goals of promoting and facilitating free and open access to data required for coastal and ocean management. The sharing of data and integration of datasets requires adoption of standards and use of common vocabularies. Manuals, guidelines, and cookbooks can facilitate the process. One of the deliverables of the data rescue project was the release of the first version of "Guidelines for marine species occurrence data rescue – The OBIS Canada Cookbook" in April 2017. This document includes ten recipes ranging from initial identification of sources of data to final project wrap up and lessons learned. A second deliverable was the development of a curriculum for training sessions of custodians of marine species occurrence data. Training is required at all levels in our community. Not only should data be accessible for reuse but also training information and lecture material. This course curriculum, based on the OBIS Canada Cookbook, reused some content already on-line and was tested in a workshop at the 2017 conference of the Atlantic Canada Coastal and Estuarine Research Society. (see Fig. 1). Our curriculum, as presently designed, is an intensive single day, hands on course with a focus on graduate students and early career researchers. The course has nine (9) modules which address the following topics: why we share research data including a general description of and the need for data policies and data management plans and data repositories; an introduction to OBIS and the standards used by OBIS; how to map data sets to Darwin Core terms and how to clean and reformat the data; how to standardize species lists; how to georeference observations and use of gazetteers to standardize location place names; and how to compose standardized discovery metadata. The last module is devoted to the processing of participants' data sets under the guidance of the instructor. Future activities will include promotion of the use of the cookbook and revision of the recipes according to users' feedback. The curriculum will be tested again with a new set of participants on an opportunistic basis and modified according to participants' comments. A staged and edited video of the course is under consideration - the objective is to provide on-line training material. These products will augment the growing number of lesson plans and lecture material made accessible by the OBIS/GBIF community. The resources need to be promoted and reuse encouraged.
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Song, Lili, Han Lu, Hong Ru, and Xue Zhao. "Investigation on the Effect of Graded Emergency Nursing Group under the Assistance of Multidisciplinary First Aid Knowledge Internet-Based Approach on the First Aid of Acute Myocardial Infarction." Journal of Healthcare Engineering 2022 (January 18, 2022): 1–6. http://dx.doi.org/10.1155/2022/8469930.
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Objective. To analyze the effect of a graded emergency nursing group under the assistance of multidisciplinary first aid knowledge Internet-based approach on the first aid of acute myocardial infarction (AMI). Methods. The clinical data of 90 AMI patients treated in our hospital from March 2019 to March 2020 were selected for the retrospective analysis, and the patients were divided into the observation group and the routine group according to the first aid order, with 45 cases each. The patients in the routine group received the conventional first aid measures, and the graded emergency nursing group mode with the help of multidisciplinary first aid knowledge Internet-based approach was adopted for those in the observation group so as to compare the prognosis, nursing satisfaction scores, etc., between the two groups. Results. Compared with the routine group, patients in the observation group obtained significantly lower various fast reaction indicators and quality of life score ( P < 0.001 ), higher nursing satisfaction score ( P < 0.001 ), lower total complication rate ( P < 0.05 ), higher successful rescue rate ( P < 0.05 ), and lower AMI recurrence rate and PCI reuse rate ( P < 0.05 ). Conclusion. Rescue measures by the graded emergency nursing group with the help of multidisciplinary first aid knowledge Internet-based approach are a reliable method for improving AMI patients, and such strategy greatly promotes patients’ quality of life and reduces the PCI reuse rate. Further research will be conducive to establishing a better solution for AMI patients.
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Tan, Qian Hui, and Brenda S. A. Yeoh. "Freecycling Markets as Sustainable Materialist Movements?" Worldwide Waste 7, no. 1 (2024): 1. http://dx.doi.org/10.3197/whpww.63857928646673.
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This paper seeks to redress the over-emphasis on state-driven circular policies in public and academic discourses by attending to two physical community-based freecycling markets at the emerging frontiers of circular waste/resource management in Singapore. Freecycling markets that close short reuse loops are a counterpoint to policies that close long recycling loops. Drawing primarily on empirical data from ethnographic fieldwork, we argue that freecycling markets exemplify a sustainable materialist movement concerned about the sustainability of material resources vis-à-vis the closing/shortening of material circularity loops. This is achieved through the reconfiguration of (a) material flows and (b) material relations. The redirection of unwanted but reusable household objects away from the incinerator and towards potential reusers animates a shift from a linear to circular material flow. We contend that this redirection of material resources for reuse is augmented by rescue and recirculation, which are relatively neglected within the scholarship on circular R-behaviours. Additionally, freecycling markets seek to transform material relations by encouraging care and stewardship, instead of use and disposal. Crucially, we highlight how freecycling markets may be plagued with material constraints that render them not-so-sustainable-and-scalable, thereby shedding light on the practical limits of sustainable materialist action. Taken together, this paper extends the scholarship on circular economies by bringing work on sustainable materialism into a productive dialogue with that on circular activisms and R-behaviours.
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Borda, Kevin, Bernardette Mercieca-Spiteri, Paolo Spadaro, and Carlo Veca. "The Perseverance of Archaeology: New Data from a Rescue Investigation at Triq Fejġel in Rabat and its Contribution to the Punic and Roman Maltese Funerary Context." Open Archaeology 7, no. 1 (2021): 128–54. http://dx.doi.org/10.1515/opar-2020-0129.
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Abstract The Maltese funerary context during the Punic and Roman times is documented from discoveries and archaeological reports primarily from the twentieth century. Notwithstanding, documentation standards in the first half of the last century were such as to provide limited archaeological data to properly understand the context, phasing and ritual. The combination of robust policy-driven archaeological monitoring procedures together with a scientific excavation of reported discoveries is essential to provide fresh archaeological data which must necessarily be published within adequate time frames. This will by no small means contribute to the formulation of a proper national research agenda by identifying lacunae as well as giving rise to new research questions. This study draws attention to the survival of archaeology seen as limited stratigraphic contexts that have persevered through the centuries and the continuous exploitation of the site. It is a case study of the application of a stratigraphic scientific approach to a recent archaeological discovery during archaeological monitoring, providing ample data with regard to funerary reuse and associated practices and rituals together with an in-depth osteological observation of skeletal remains therein discovered.
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Van Damme, Marie-Dominique, and Ana-Maria Olteanu-Raimond. "A method to produce metadata describing and assessing the quality of spatial landmark datasets in mountain area." AGILE: GIScience Series 3 (June 10, 2022): 1–11. http://dx.doi.org/10.5194/agile-giss-3-17-2022.
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Abstract. The increase of recreational activities in the mountains and a growing amount of websites proposing geographic data, offer new opportunities for societal needs such as mountain rescue, biodiversity monitoring, outdoor activities. However, the main issue with the websites data is the lack of metadata that minimizes its reuse outside the community that produced the data. The goal of this paper is to study and generate quality and descriptive metadata using ISO standards. To this end, we propose a method based on a common vocabulary such as an ontology and a data matching process. The first one allows to associate to each type of feature from an available geographic dataset an ontology class that will facilitate data matching, reproducibility of results and minimize semantic heterogeneity. The second one allows to define matching links between features representing the same entity in the real world and compute quality indicators based on the validated links. Finally, at the end of this process, we are able to generate descriptive and quality metadata. By following ISO standards and using the QualityML dictionary for measures, the metadata is serialized to XML and can finally be published as open source. Our approach was applied to five different landmark datasets in the French Alps region. New insights were acquired regarding positional accuracy and semantic granularity.
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Romankiewicz, Tanja. "ROOM FOR IDEAS: TRACING NON-DOMESTIC ROUNDHOUSES." Antiquaries Journal 98 (September 2018): 17–42. http://dx.doi.org/10.1017/s0003581518000148.
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Iron Age studies in Britain operate in a world populated by roundhouses. Post-ring evidence is generally interpreted in domestic contexts. However, research on later prehistoric roundhouses in north-east Scotland has identified a small yet significant number of round structures in unusual locations, with unusual architectural details and a distinct lack of domestic material. Some of these relate to Chalcolithic and Early Bronze Age stone circles, for which Richard Bradley’s work in the wider region has highlighted progressive biographies of construction and reuse. This paper, rooted in architectural design theory, selects a particular case study – the multiple timber post-rings at Candle Stane (in Aberdeenshire) – to highlight the complexities in interpreting these fascinating and enigmatic buildings. The architectural approach develops alternative reconstructions that lead to new perspectives on later prehistoric architecture as event-based and concerned with process. These processes only gradually lead to an architectural end-product, which displays distinctly non-domestic connotations. The research not only highlights the usefulness of data derived from rescue work for academic study, but the advocated approach of reconstructing in alternatives also lends itself to developing innovative approaches in Higher Education to teach visual competence.
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Heisel, F., J. McGranahan, A. Lucas, D. Cohen, and G. Stone. "Carbon, economics, and labor: a case study of deconstruction’s relative costs and benefits compared to demolition." Journal of Physics: Conference Series 2600, no. 19 (2023): 192003. http://dx.doi.org/10.1088/1742-6596/2600/19/192003.
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Abstract The authors formed a collaborative working group with the “specific aim to investigate the circular potentials of the local built environment by researching and proposing methods for material reuse and recycling, reversible construction, reactivating embodied values, creating green jobs, and reinventing the underlying business models of construction.” Seeking to demonstrate deconstruction as an alternative to demolition, the group found a collection of 11 residential structures from the year 1910 that were planned for demolition. The group was able to convince the developer to deconstruct – instead of demolish – one of the structures. Over the course of five days in January 2022, a crew of up to eight workers methodically carved the 420 square meter, 13-bedroom structure into sections from top to bottom. Data was collected during this process on material quantities successfully salvaged from the structure in relation to its total mass, the associated carbon savings the salvage of these materials indicate, their resale value, and labor time and costs required to both remove and process these materials for resale. The results of the study show an increase in carbon savings and sequestration through deconstruction and reuse when compared to demolition, but increased labor and economic costs. However, the resale of materials significantly discounts a significant portion of the cost of the deconstruction, and as capacity and knowledge is built in the local reuse ecosystem the authors believe deconstruction can reach parity with demolition in the future.
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Betti, Alessandro, and Mauro Tucci. "YOLO-S: A Lightweight and Accurate YOLO-Like Network for Small Target Selection in Aerial Imagery." Sensors 23, no. 4 (2023): 1865. http://dx.doi.org/10.3390/s23041865.
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Small target detection is still a challenging task, especially when looking at fast and accurate solutions for mobile or edge applications. In this work, we present YOLO-S, a simple, fast, and efficient network. It exploits a small feature extractor, as well as skip connection, via both bypass and concatenation, and a reshape-passthrough layer to promote feature reuse across network and combine low-level positional information with more meaningful high-level information. Performances are evaluated on AIRES, a novel dataset acquired in Europe, and VEDAI, benchmarking the proposed YOLO-S architecture with four baselines. We also demonstrate that a transitional learning task over a combined dataset based on DOTAv2 and VEDAI can enhance the overall accuracy with respect to more general features transferred from COCO data. YOLO-S is from 25% to 50% faster than YOLOv3 and only 15–25% slower than Tiny-YOLOv3, outperforming also YOLOv3 by a 15% in terms of accuracy (mAP) on the VEDAI dataset. Simulations on SARD dataset also prove its suitability for search and rescue operations. In addition, YOLO-S has roughly 90% of Tiny-YOLOv3’s parameters and one half FLOPs of YOLOv3, making possible the deployment for low-power industrial applications.
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RAFIQ, SU, T. AHMAD, MA GHAZNI, S. JAMAL, S. NOORDIN, and MA SULAIMAN. "EFFICACY OF FASCIA ILIACA BLOCK FOR ACUTE PAIN MANAGEMENT IN PATIENTS WITH HIP FRACTURES. A PROSPECTIVE COHORT STUDY." Biological and Clinical Sciences Research Journal 2024, no. 1 (2024): 1030. http://dx.doi.org/10.54112/bcsrj.v2024i1.1030.
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The fascia iliaca block is a compartment field block that effectively treats pain from hip fractures and hip surgeries. Fascia iliaca block reduces preoperative and postoperative pain scores, postoperative opioid consumption, and the occurrence of opioid-related adverse events. Objective: To assess the efficacy of fascia iliaca block for acute pain management in patients with hip fractures. Methods: Thirty-three patients of both genders were included. Fascia iliaca Block was applied using a landmark-based technique. The Numeric Rating Score was measured. The normality of data was checked, and the Median (IQR) was reported due to non-normal distribution. Frequencies and percentages were calculated for qualitative variables. The Chi-square/fisher exact test was applied to determine the association between qualitative variables, while odds were calculated by binary logistic regression. Friedman and Wilcoxon Signed Ranks Test made comparisons for quantitative variables. Results: [PAIN SCORE pre+post block. Resue analgesia %]. Males are more likely than females to need rescue analgesia (OR=1.161, p=0.840). Compared to patients over 65, those under 65 are less likely to require rescue analgesia (OR=0.900, p=0.900). There was a significant difference throughout the periods, with the median VAS score before FIB, at 15 minutes, at 1 hour, at 6 hours, and at 12 hours being 9 (IQR:8-10), 5 (IQR:3-6), 2 (IQR:1-3), 2 (IQR:1.5-4), and 5 (IQR;4-6), respectively. Conclusion: The fascia iliaca block for hip fractures is an effective pain management method. It also provides postoperative short-term analgesic effects both at rest and with movement.
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Murugesan, Senthil, Krishna Venkata, Narendra Mupparaju, and Rayudu Kommi. "Quality of Service Enhancement in Wireless LAN and MANET." International Journal of Wireless and Ad Hoc Communication 1, no. 2 (2020): 08–18. http://dx.doi.org/10.54216/ijwac.010201.
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In this dissertation, the author introduces a novel MAC technique that uses directional antennas to reduce interference, allowing the channel effectively reuse in various places. A node will wait for the Additional Control Gap (ACG) period after exchanging the RTSCTS packet using the suggested protocol before starting the transmission of data packets. Other nodes in the area may plan simultaneous transmission at this ACG time by exchanging RTSCTS packets with one another. This technique of installing directional antennas to avoid interference while simultaneously ensuring simultaneous transmissions among nodes in the vicinity may enhance the overall throughput and latency of wireless ad hoc networks. The suggested MAC protocol, in combination with TCP, serves to lessen the possibility of medium congestion and collisions in multi-hop situations by scheduling simultaneous transmissions. After identifying the bottleneck node on the high-traffic route, the heavy-traffic route moved to a different dedicated path to facilitate longhop flow. This makes it feasible for longhop flow to use the completely available bandwidth of the recently allotted dedicated lane and ensures that traffic on the congested route will reduce. Additionally, the dissertation offers a simple but efficient hybrid model as a solution to the issues that could come up when carrying out disaster relief activities. According to the suggested concept, stationary SANET grid nodes that is installed will allow mobile MANET nodes that are more than 13 kilometres outside of the transmission range of the infrastructure network to connect to the internet and the central command. In the case of a disaster, this method increases the coverage area of MANET nodes, enabling those nodes to connect with and exchange data with the rescue and relief operations centre
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Sallau, F. I., U. D. Hamza, A. Y. Abdulkarim, and J. Mohammed. "Design and Techno-economic Analysis of Ammonia Production from Human Waste via Anaerobic Digestion." Journal of Applied Sciences and Environmental Management 27, no. 9 (2023): 2101–8. http://dx.doi.org/10.4314/jasem.v27i9.28.
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The increasing concern on climate change has prompted scientists across the world to find new sources of renewable and sustainable energy to reduce the over 75% of global energy dependence on fossil fuels. Improper disposal and treatment of human waste threaten the environmental and public health, and it requires immediate treatment of which anaerobic digestion comes as a rescue for effective and sustainable waste treatment technology. Hence, the objective of this work was to design and evaluate the techno-economic analysis of ammonia production from human waste (HW) via anaerobic digestion (AD) through two process schemes using Aspen Plus process simulator. The models were validated using an existing data, with 4.48 and 4.33% percentage error for the anaerobic digestion (new developed model) and anaerobic digestion with carbon capture and reuse (existing model) respectively. The sensitivity analysis showed that the AD reactors produced the best ammonia outputs at 60°C and 1 atm of 0.172 and 0.0189 kg/h respectively. The highest amount of ammonia for process schemes 1 and 2 is 0.0905 kg/h and 1.2792 kg/h for 10 L/day of organic loading rate (OLR), respectively. The organic loading rate rose as ammonia yield increased. For process scenarios 1 and 2, the best amounts are 0.1423 and 0.001609 kg/h for hydraulic retention durations of 1 and 10 days. Additionally, the net present value (NPV) values of $128,825.54 and $291,876.33, the internal rate of return (IRR) of 17 and 12%, and the payout periods of 6 and 7 years show that both schemes are promising in terms of payout period, although scheme 2 has a higher NPV than scheme 1 and a higher internal rate of return than scheme 1.
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Lai, Chih-Chun, and Ching-Erh Chang. "Clothing Disposal Behavior of Taiwanese Consumers with Respect to Environmental Protection and Sustainability." Sustainability 12, no. 22 (2020): 9445. http://dx.doi.org/10.3390/su12229445.
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Large quantities of clothing are routinely discarded, ending up in landfills that contribute to the environmental crisis; hence, it is worthwhile investigating how to dispose of this waste in a sustainable way. This study considered environmental values and prosocial behavior from behaviorism theory. The aim was to set up an environmental protection model for the sustainable disposal of consumer clothing. A structural equation modeling analysis of 407 undergraduate and postgraduate consumer data in Taiwan revealed that consumers’ choice to donate clothing was influenced by environmental values and prosocial behaviors. Clothing resale was influenced by the factor of prosocial behavior. However, prosocial consumers used other disposal patterns instead of resale. Clothing reuse was not influenced by either environmental values or prosocial behavior. The behaviorism theory model is effective in analyzing the factors influencing sustainable clothing disposal. To face clothing waste issues, one can intensify traditional values of industriousness and thriftiness, and of compassion and sympathy to others, to accelerate the promotion of the sustainable disposal of clothing.
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De Almeida, Iasmim Taísle Gomes Vanderlei, Ana Regina Bezerra Ribeiro, Leandro de Sousa Floriano, Leila Lopes Ramalho, and Ruan Samuel Chaves De Araújo. "Circular Economy and Reverse Logistics: a Systematic Review." Revista de Gestão Social e Ambiental 18, no. 3 (2023): e04146. http://dx.doi.org/10.24857/rgsa.v18n3-049.
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Introduction: The circular economy and reverse logistics have as main objective to look for means for the final disposal of waste, that is, the waste that at first is no longer useful undergoes a new evaluation within the process of reverse logistics and consequently of circular economy for how it, identify whether this waste will be reused in another segment or destined for a specific location for that material. Objective: The main objective of the study was to analyze, through a Systematic Literature Review (SLR), the relationship between Reverse Logistics and Circular Economy. Method: The research is characterized as a qualitative, descriptive approach, in addition, the research was carried out through the Systematic Literature Review (SLR) taking into account the PRISMA guidelines. For data management, StArt - State of the Art through Systematic Review was used. Results and discussion: A total of 1,351 studies were surveyed, after applying the study analysis strategies, 20 articles were selected, which were consistent with the inclusion criteria. It was possible to show that Brazil is the country that most contributed with studies focused on the Circular Economy and Reverse Logistics, mainly in the year 2021, which corresponds to 50% of the total analyzed in the period under study. In this way, it is noted that this relationship is increasingly on the rise, considering that they are methods that are related and that contribute significantly to the society and economy of a country. Conclusion: It is considered that the process of Reverse Logistics and Circular Economy, when carried out correctly, contributes to the products at the end of the life cycle, being rescued for a new production process, being a viable reuse, aiming at the recovery of the product. Finally, this whole process depends on the joint work of end users, government, industries/companies and collectors' cooperatives.
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Piccolella, Simona, Alessandro Bianco, Giuseppina Crescente, Alessandra Santillo, Gabriella Chieffi Baccari, and Severina Pacifico. "Recovering Cucurbita pepo cv. ‘Lungo Fiorentino’ Wastes: UHPLC-HRMS/MS Metabolic Profile, the Basis for Establishing Their Nutra- and Cosmeceutical Valorisation." Molecules 24, no. 8 (2019): 1479. http://dx.doi.org/10.3390/molecules24081479.
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Food-waste is produced throughout all the food supply chain, with a large part already achieved at farm level. In fact, fruits and vegetables, which do not satisfy aesthetic demands, cannot be marketed, but their recovery could favour their valorisation for the obtainment of highly qualified goods. In this context, faulty zucchini fruits (cultivar ‘Lungo Fiorentino’), intended for disposal, were rescued as effective, inexpensive and bio-sustainable source for cosmeceutical purposes. Zucchini fruits underwent extraction and fractionation to obtain ZLF-O and ZLF-A extracts, which were chemically characterized by UHPLC-HRMS. ZLF-A extract, rich in flavonols and flavones, scavenged massively DPPH• and ABTS•+, and was not cytotoxic at doses up to 200 μ g/mL. Thus, ZLF-A was incorporated into a base cream formula. Zucchini-based emulsion was deeply screened for its antiradical properties and cytotoxicity towards human keratinocytes and fibroblasts. ZLF-A-enriched cream, whose chemical stability was assessed over time and mimicking different storage conditions, was further tested on reconstructed epidermis disks (EpiskinTM). The recovery of valuable chemical substances from zucchini agro-food waste, complying with the principles of valorisation and sustainable development, can represent a new market force for local farmers. Data acquired were eager to convey a suitable reuse of nutraceuticals rich zucchini waste.
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Dr. Kalpana Kumari. "Recent Trends in E-waste Generation and Management, A Review." International Research Journal on Advanced Engineering and Management (IRJAEM) 3, no. 03 (2025): 688–93. https://doi.org/10.47392/irjaem.2025.0111.
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There has been a significant increase in e-waste generation in India during the last five years, as it has increased from 1.01 million metric tonnes in 2019-20 to 1.75 million metric tonnes in 2023-24. Since 2019-20, e-waste has increased in our nation at an alarming rate of 72.54 percent. E-waste or electronic waste are discarded electronic devices, used electronic materials destined for reuse, resale, refurbishment, recycling, or disposal are also included in e-waste. Rapid changes in technology, decreasing prices of electronic goods, the digital revolution, increasing consumerism, and frequent releases of new electrical goods models have contributed to an exponential increase of e-waste in the modern era. There is a huge gap between e-waste produced and e-waste processed in the economy. Informal processing of e-waste leads to adverse effects on ecology and the environment. Electronic goods contain materials like lead, mercury, cadmium, etc which are hazardous to the health of our society. There is an urgent need to improve the existing system of e-waste management in our country which requires an efficient collection system and proper treatment of hazardous material present in these electronic items. This research paper is based on secondary data. The paper attempts to analyse the recent trends of increasing e-waste generation in our country and the existing practices of e-waste management.
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Charnley, Fiona, Fabienne Knecht, Helge Muenkel, et al. "Can Digital Technologies Increase Consumer Acceptance of Circular Business Models? The Case of Second Hand Fashion." Sustainability 14, no. 8 (2022): 4589. http://dx.doi.org/10.3390/su14084589.
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Experimentation with, and the implementation of, circular business models (CBMs) has gained rapid traction within the textiles and fashion industry over the last five years. Substitution of virgin materials with bioderived alternatives, extending the lifecycle of garments through resale, and rental services and the recycling or upcycling of garments are some of the strategies being used to reduce the 1.2 billion tonnes of greenhouse gas emissions and 92 million tonnes of waste associated with the sector in 2017. However, whilst CBMs demonstrate environmental and economic benefits, low consumer acceptance is considered by business professionals and policymakers to be one of the main barriers to the transition towards a circular economy. Digitisation is widely acknowledged as a catalyst for innovation in many sectors and digital technologies are driving new ways to exchange and share goods and services, enabling companies to match the supply, and demand for, otherwise underused assets and products. Online platforms, in particular, have played a crucial role in driving the growth of used goods and resale in other consumer goods markets, such as consumer technology. A mixed methods approach, including a review of 40 organisations operating second hand fashion models, a consumer survey of over 1200 respondents and in-depth interviews with 10 organisations operating second hand fashion models, is adopted to reveal (a) the barriers to consumer acceptance of reuse models in the fashion industry, and (b) how digital technologies can overcome these barriers. Findings highlight the significant progress that organisations have made in using digitalisation, including data analytics, algorithms, digital platforms, advanced product imagery and data informed customer communications, to address barriers associated with convenience, hygiene, trust and security. Furthermore, the study identifies opportunities for the development of more sophisticated digital technologies to support increased transparency and address concerns associated with the quality, authenticity and sourcing of materials. Positioned at the interface of digitisation and consumer acceptance of circular business models, this study makes an important contribution to understanding consumer barriers and how to address them and concludes with a set of recommendations for practitioners.
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McGovern, Nancy Y. "Data rescue." ACM SIGCAS Computers and Society 47, no. 2 (2017): 19–26. http://dx.doi.org/10.1145/3112644.3112648.
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Dwork, Cynthia, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Aaron Roth. "Guilt-free data reuse." Communications of the ACM 60, no. 4 (2017): 86–93. http://dx.doi.org/10.1145/3051088.
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Safran, C. "Reuse Of Clinical Data." Yearbook of Medical Informatics 23, no. 01 (2014): 52–54. http://dx.doi.org/10.15265/iy-2014-0013.
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Summary Objectives: To provide an overview of the benefits of clinical data collected as a by-product of the care process, the potential problems with large aggregations of these data, the policy frameworks that have been formulated, and the major challenges in the coming years. Methods: This report summarizes some of the major observations from AMIA and IMIA conferences held on this admittedly broad topic from 2006 through 2013. This report also includes many unsupported opinions of the author. Results: The benefits of aggregating larger and larger sets of routinely collected clinical data are well documented and of great societal benefit. These large data sets will probably never answer all possible clinical questions for methodological reasons. Non-traditional sources of health data that are patient-sources will pose new data science challenges. Conclusions: If we ever hope to have tools that can rapidly provide evidence for daily practice of medicine we need a science of health data perhaps modeled after the science of astronomy.
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Bishop, Libby, and Arja Kuula-Luumi. "Revisiting Qualitative Data Reuse." SAGE Open 7, no. 1 (2017): 215824401668513. http://dx.doi.org/10.1177/2158244016685136.
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Secondary analysis of qualitative data entails reusing data created from previous research projects for new purposes. Reuse provides an opportunity to study the raw materials of past research projects to gain methodological and substantive insights. In the past decade, use of the approach has grown rapidly in the United Kingdom to become sufficiently accepted that it must now be regarded as mainstream. Several factors explain this growth: the open data movement, research funders’ and publishers’ policies supporting data sharing, and researchers seeing benefits from sharing resources, including data. Another factor enabling qualitative data reuse has been improved services and infrastructure that facilitate access to thousands of data collections. The UK Data Service is an example of a well-established facility; more recent has been the proliferation of repositories being established within universities. This article will provide evidence of the growth of data reuse in the United Kingdom and in Finland by presenting both data and case studies of reuse that illustrate the breadth and diversity of this maturing research method. We use two distinct data sources that quantify the scale, types, and trends of reuse of qualitative data: (a) downloads of archived data collections held at data repositories and (b) publication citations. Although the focus of this article is on the United Kingdom, some discussion of the international environment is provided, together with data and examples of reuse at the Finnish Social Science Data Archive. The conclusion summarizes the major findings, including some conjectures regarding what makes qualitative data attractive for reuse and sharing.
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Saleem, Yasir, Pablo Sotres, Samuel Fricker, et al. "IoTRec: the IoT recommender for smart parking system." IEEE Transactions on Emerging Topics in Computing 2022, 10(1), 10, no. 1 (2020): 280–96. https://doi.org/10.1109/TETC.2020.3014722.
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This article proposes a General Data Protection Regulation (GDPR)-compliant Internet of Things (IoT) Recommender (IoTRec) system, developed in the framework of H2020 EU-KR WISE-IoT (Worldwide Interoperability for Semantic IoT) project, which provides the recommendations of parking spots and routes while protecting users´ privacy. It provides recommendations by exploiting the IoT technology (parking and traffic sensors). The IoTRec provides four-fold functions. First, it helps the user to find a free parking spot based on different metrics (such as the nearest or nearest trusted parking spot). Second, it recommends a route (the least crowded or the shortest route) leading to the recommended parking spot from the user´s current location. Third, it provides the real-time provision of expected availability of parking areas (comprised of parking spots organized into groups) in a user-friendly manner. Finally, it provides a GDPR-compliant implementation for operating in a privacy-aware environment. The IoTRec is integrated into the smart parking use case of the WISE-IoT project and is evaluated by the citizens of Santander, Spain through a prototype, but it can be applied to any IoT-enabled locality. The evaluation results show the citizens satisfaction with the quality, functionalities, ease of use and reliability of the recommendations/services offered by the IoTRec. This is the accepted version of a work published in IEEE Transactions on Emerging Topics in Computing. © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Pierce, Heather H., Anurupa Dev, Emily Statham, and Barbara E. Bierer. "Credit data generators for data reuse." Nature 570, no. 7759 (2019): 30–32. http://dx.doi.org/10.1038/d41586-019-01715-4.
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Joo, Yeon Kyoung, and Youngseek Kim. "Engineering researchers’ data reuse behaviours: a structural equation modelling approach." Electronic Library 35, no. 6 (2017): 1141–61. http://dx.doi.org/10.1108/el-08-2016-0163.
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Purpose The purpose of this research is to investigate the factors that influence engineering researchers’ data reuse behaviours. Design/methodology/approach The data reuse behaviour model of engineering researchers was investigated by using a survey method. A national survey was distributed to engineering researchers in the USA, and a total of 193 researchers responded. Findings The results showed that perceived usefulness, perceived concerns and norms of data reuse have significant relationships with attitudes toward data reuse. Also, attitudes toward data reuse and the availability of data repositories were found to have significant influences on engineering researchers’ intention to reuse data. Research limitations/implications This research used a combined theoretical framework by integrating the theory of planned behaviour (TPB) and the technology acceptance model (TAM). The combination of the TPB and the TAM effectively explained engineering researchers’ data reuse behaviours by addressing individual motivations, norms and resource factors. Practical implications This research has practical implications for promoting more reliable and beneficial data reuse in the engineering community, including encouraging positive motivations toward data reuse, building community norms of data reuse and setting up more data repositories. Originality value As prior research on data reuse mainly used interviews, this research used a quantitative approach based on a combined theoretical framework and included diverse research constructs which were not tested in the previous research models. As one of the initial studies investigating data reuse behaviours in the engineering community, the current research provided a better understanding of data reuse behaviours and suggested possible ways to facilitate engineering researchers’ data reuse behaviours.
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Joo, Soohyung, Sujin Kim, and Youngseek Kim. "An exploratory study of health scientists’ data reuse behaviors." Aslib Journal of Information Management 69, no. 4 (2017): 389–407. http://dx.doi.org/10.1108/ajim-12-2016-0201.
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Purpose The purpose of this paper is to examine how health scientists’ attitudinal, social, and resource factors affect their data reuse behaviors. Design/methodology/approach A survey method was utilized to investigate to what extent attitudinal, social, and resource factors influence health scientists’ data reuse behaviors. The health scientists’ data reuse research model was validated by using partial least squares (PLS) based structural equation modeling technique with a total of 161 health scientists in the USA. Findings The analysis results showed that health scientists’ data reuse intentions are driven by attitude toward data reuse, community norm of data reuse, disciplinary research climate, and organizational support factors. This research also found that both perceived usefulness of data reuse and perceived concern involved in data reuse have significant influences on health scientists’ attitude toward data reuse. Research limitations/implications This research evaluated its newly proposed research model based on the theory of planned behavior using a sample from the community of scientists’ scholar database. This research showed an overall picture of how attitudinal, social, and resource factors influence health scientists’ data reuse behaviors. This research is limited due to its sample size and low response rate, so this study is considered as an exploratory study rather than a confirmatory study. Practical implications This research suggested for health science research communities, academic institutions, and libraries that diverse strategies need to be utilized to promote health scientists’ data reuse behaviors. Originality/value This research is one of initial studies in scientific data reuse which provided a holistic map about health scientists’ data sharing behaviors. The findings of this study provide the groundwork for strategies to facilitate data reuse practice in health science areas.
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Yoon, Ayoung, and Youngseek Kim. "The role of data-reuse experience in biological scientists’ data sharing: an empirical analysis." Electronic Library 38, no. 1 (2020): 186–208. http://dx.doi.org/10.1108/el-06-2019-0146.
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Purpose The purpose of this paper is to investigate how scientists’ prior data-reuse experience affects their data-sharing intention by updating diverse attitudinal, control and normative beliefs about data sharing. Design/methodology/approach This paper used a survey method and the research model was evaluated by applying structural equation modelling to 476 survey responses from biological scientists in the USA. Findings The results show that prior data-reuse experience significantly increases the perceived community and career benefits and subjective norms of data sharing and significantly decreases the perceived risk and effort involved in data sharing. The perceived community benefits and subjective norms of data sharing positively influence scientists’ data-sharing intention, whereas the perceived risk and effort negatively influence scientists’ data-sharing intention. Research limitations/implications Based on the theory of planned behaviour, the research model was developed by connecting scientists’ prior data-reuse experience and data-sharing intention mediated through diverse attitudinal, control and normative perceptions of data sharing. Practical implications This research suggests that to facilitate scientists’ data-sharing behaviours, data reuse needs to be encouraged. Data sharing and reuse are interconnected, so scientists’ data sharing can be better promoted by providing them with data-reuse experience. Originality/value This is one of the initial studies examining the relationship between data-reuse experience and data-sharing behaviour, and it considered the following mediating factors: perceived community benefit, career benefit, career risk, effort and subjective norm of data sharing. This research provides an advanced investigation of data-sharing behaviour in the relationship with data-reuse experience and suggests significant implications for fostering data-sharing behaviour.
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Khan-Mayberry, Noreen, John T. James, Rochelle Tyl, and Chiu-wing Lam. "Space Toxicology." International Journal of Toxicology 30, no. 1 (2011): 3–18. http://dx.doi.org/10.1177/1091581810386389.
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Space toxicology is a unique and targeted discipline for spaceflight, space habitation, and occupation of celestial bodies including planets, moons, and asteroids. Astronaut explorers face distinctive health challenges and limited resources for rescue and medical care during space operation. A central goal of space toxicology is to protect the health of the astronaut by assessing potential chemical exposures during spaceflight and setting safe limits that will protect the astronaut against chemical exposures while in a physiologically altered state. In order to maintain sustained occupation in space on the International Space Station (ISS), toxicological risks must be assessed and managed within the context of isolation, continuous exposures, reuse of air and water, limited rescue options, and the need to use highly toxic compounds for propulsion and other purposes. As we begin to explore other celestial bodies, in situ toxicological risks, such as inhalation of reactive mineral dusts, must also be managed.
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Li, Kai, Pao-Pei Huang, and Wei Jeng. "Are data papers cited as research data? Preliminary analysis on interdisciplinary data paper citations." Information Research an international electronic journal 30, iConf (2025): 1225–33. https://doi.org/10.47989/ir30iconf46918.
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Introduction. Research data sharing and reuse have become increasingly important in modern science, and data papers represent a new academic publication genre aimed at enhancing the visibility, sharing, and reuse of research data. However, whether citations to data papers reflect actual data reuse remains largely unexplored. This paper presents preliminary findings from a project designed to address this gap. Method. we conducted a content analysis to manually annotate 437 citation sentences from 309 research articles referencing 50 data papers published in Data in Brief, a chief academic journal that only publishes data papers. The data papers were sampled from five knowledge domains based on a paper-level classification system. Results. Our results show that most citations to all selected data papers (89%) are unrelated to the research data being described in the paper, instead focusing on the research findings or methodologies. This suggests that data papers are being cited similarly to traditional research articles, despite their unique purpose and content. Conclusion. These findings raise questions about the effectiveness of data papers as representations of research data within the scholarly communication system, as well as their utility in quantitative studies on data reuse.
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Labastida, Ignasi, and Thomas Margoni. "Licensing FAIR Data for Reuse." Data Intelligence 2, no. 1-2 (2020): 199–207. http://dx.doi.org/10.1162/dint_a_00042.
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The last letter of the FAIR acronym stands for Reusability. Data and metadata should be made available with a clear and accessible usage license. But, what are the choices? How can researchers share data and allow reusability? Are all the licenses available for sharing content suitable for data? Data can be covered by different layers of copyright protection making the relationship between data and copyright particularly complex. Some research data can be considered as a work and therefore covered by full copyright while other data can be in the public domain due to their lack of originality. Moreover, a collection of data can be protected by special rights in Europe to acknowledge the investment in time and money in obtaining, presenting, arranging or verifying the data. The need of using a license when sharing data comes from the fact that, under current copyright laws, when rights exist, the absence of any legal notice must be understood as the default “all rights reserved” regime. Unless an exception applies, the authorisation of right holders is necessary for reuse. Right holders could use any text to state the reusability of data but it is advisable to use some of the existing licenses, and especially the ones that are suitable for data and databases. We hope that with this paper we can bring some clarity in relation to the rights involved when sharing research data.
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Visaggio, G. "Process improvement through data reuse." IEEE Software 11, no. 4 (1994): 76–85. http://dx.doi.org/10.1109/52.300093.
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LaFlamme, Marcel, Marion Poetz, and Daniel Spichtinger. "Seeing oneself as a data reuser: How subjectification activates the drivers of data reuse in science." PLOS ONE 17, no. 8 (2022): e0272153. http://dx.doi.org/10.1371/journal.pone.0272153.
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Considerable resources are being invested in strategies to facilitate the sharing of data across domains, with the aim of addressing inefficiencies and biases in scientific research and unlocking potential for science-based innovation. Still, we know too little about what determines whether scientific researchers actually make use of the unprecedented volume of data being shared. This study characterizes the factors influencing researcher data reuse in terms of their relationship to a specific research project, and introduces subjectification as the mechanism by which these influencing factors are activated. Based on our analysis of semi-structured interviews with a purposive sample of 24 data reusers and intermediaries, we find that while both project-independent and project-dependent factors may have a direct effect on a single instance of data reuse, they have an indirect effect on recurring data reuse as mediated by subjectification. We integrate our findings into a model of recurring data reuse behavior that presents subjectification as the mechanism by which influencing factors are activated in a propensity to engage in data reuse. Our findings hold scientific implications for the theorization of researcher data reuse, as well as practical implications around the role of settings for subjectification in bringing about and sustaining changes in researcher behavior.
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Faniel, Ixchel M., Rebecca D. Frank, and Elizabeth Yakel. "Context from the data reuser’s point of view." Journal of Documentation 75, no. 6 (2019): 1274–97. http://dx.doi.org/10.1108/jd-08-2018-0133.
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Purpose Taking the researchers’ perspective, the purpose of this paper is to examine the types of context information needed to preserve data’s meaning in ways that support data reuse. Design/methodology/approach This paper is based on a qualitative study of 105 researchers from three disciplinary communities: quantitative social science, archaeology and zoology. The study focused on researchers’ most recent data reuse experience, particularly what they needed when deciding whether to reuse data. Findings Findings show that researchers mentioned 12 types of context information across three broad categories: data production information (data collection, specimen and artifact, data producer, data analysis, missing data, and research objectives); repository information (provenance, reputation and history, curation and digitization); and data reuse information (prior reuse, advice on reuse and terms of use). Originality/value This paper extends digital curation conversations to include the preservation of context as well as content to facilitate data reuse. When compared to prior research, findings show that there is some generalizability with respect to the types of context needed across different disciplines and data sharing and reuse environments. It also introduces several new context types. Relying on the perspective of researchers offers a more nuanced view that shows the importance of the different context types for each discipline and the ways disciplinary members thought about them. Both data producers and curators can benefit from knowing what to capture and manage during data collection and deposit into a repository.
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Thylstrup, Nanna Bonde, Kristian Bondo Hansen, Mikkel Flyverbom, and Louise Amoore. "Politics of data reuse in machine learning systems: Theorizing reuse entanglements." Big Data & Society 9, no. 2 (2022): 205395172211397. http://dx.doi.org/10.1177/20539517221139785.
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Policy discussions and corporate strategies on machine learning are increasingly championing data reuse as a key element in digital transformations. These aspirations are often coupled with a focus on responsibility, ethics and transparency, as well as emergent forms of regulation that seek to set demands for corporate conduct and the protection of civic rights. And the Protective measures include methods of traceability and assessments of ‘good’ and ‘bad’ datasets and algorithms that are considered to be traceable, stable and contained. However, these ways of thinking about both technology and ethics obscure a fundamental issue, namely that machine learning systems entangle data, algorithms and more-than-human environments in ways that challenge a well-defined separation. This article investigates the fundamental fallacy of most data reuse strategies as well as their regulation and mitigation strategies that data can somehow be followed, contained and controlled in machine learning processes. Instead, the article argues that we need to understand the reuse of data as an inherently entangled phenomenon. To examine this tension between the discursive regimes and the realities of data reuse, we advance the notion of reuse entanglements as an analytical lens. The main contribution of the article is the conceptualization of reuse that places entanglements at its core and the articulation of its relevance using empirical illustrations. This is important, we argue, for our understanding of the nature of data and algorithms, for the practical uses of data and algorithms and our attitudes regarding ethics, responsibility and regulation.
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Groth, Paul, Helena Cousijn, Tim Clark, and Carole Goble. "FAIR Data Reuse – the Path through Data Citation." Data Intelligence 2, no. 1-2 (2020): 78–86. http://dx.doi.org/10.1162/dint_a_00030.
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One of the key goals of the FAIR guiding principles is defined by its final principle – to optimize data sets for reuse by both humans and machines. To do so, data providers need to implement and support consistent machine readable metadata to describe their data sets. This can seem like a daunting task for data providers, whether it is determining what level of detail should be provided in the provenance metadata or figuring out what common shared vocabularies should be used. Additionally, for existing data sets it is often unclear what steps should be taken to enable maximal, appropriate reuse. Data citation already plays an important role in making data findable and accessible, providing persistent and unique identifiers plus metadata on over 16 million data sets. In this paper, we discuss how data citation and its underlying infrastructures, in particular associated metadata, provide an important pathway for enabling FAIR data reuse.
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Huggett, Jeremy. "Reuse Remix Recycle." Advances in Archaeological Practice 6, no. 2 (2018): 93–104. http://dx.doi.org/10.1017/aap.2018.1.
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ABSTRACTPreservation of digital data is predicated on the expectation of its reuse, yet that expectation has never been examined within archaeology. While we have extensive digital archives equipped to share data, evidence of reuse seems paradoxically limited. Most archaeological discussions have focused on data management and preservation and on disciplinary practices surrounding archiving and sharing data. This article addresses the reuse side of the data equation through a series of linked questions: What is the evidence for reuse, what constitutes reuse, what are the motivations for reuse, and what makes some data more suitable for reuse than others? It concludes by posing a series of questions aimed at better understanding our digital engagement with archaeological data.
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Chaba, Dawid. "COLLECTION AND REUSE OF DATA BY LOCAL GOVERNMENT AUTHORITIES." Roczniki Administracji i Prawa 4, no. XXIII (2023): 115–26. http://dx.doi.org/10.5604/01.3001.0054.2688.
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The Act on open data and the reuse of public sector information contains regulations for open data and principles and procedures for making available and providing public sector information for the purpose of reusing them. This act of law is consequential for entrepreneurs and businesses in terms of the creation of products and services based on artificial intelligence where various types of data are used, among others. The Act on open data and the reuse of public sector information significantly affects the collection and reuse of data by local government authorities. The reuse of data by local government authorities can take many forms. One of them is services related to applications based on the data or various legal information systems, maps, dictionaries, or calculators. The article analyses regulations in Polish legislation regarding the collection and reuse of data, particularly by local government authorities.
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Liu, Dan, Wei Dong, and Yi You Tan. "The Design and Implementation of Reusable Data Reduction Tool in Cloud Computing Platform." Advanced Materials Research 403-408 (November 2011): 1759–62. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.1759.
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Cloud computing model makes software reuse from the simple code reuse to the service-oriented software reuse .This paper based on the extended Google App Engine cloud computing platform, designed a reusable data reduction tool, which mainly to solve the access problem of heterogeneous data and an un-existed data type. In order to achieve data reuse, a layered data structure definition based on the reuse is provided. Finally, a data-mining system built on top of cloud computing platform is designed and implemented to verify the efficiency and the validity of data reduction module.
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Park, Eun G., Gordon Burr, Victoria Slonosky, Renee Sieber, and Lori Podolsky. "Data rescue archive weather (DRAW)." Journal of Documentation 74, no. 4 (2018): 763–80. http://dx.doi.org/10.1108/jd-10-2017-0150.
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PurposeTo rescue at-risk historical scientific data stored at the McGill Observatory, the objectives of the Data Rescue Archive Weather (DRAW) project are: to build a repository; to develop a protocol to preserve the data in weather registers; and to make the data available to research communities and the public. The paper aims to discuss these issues.Design/methodology/approachThe DRAW project adopts an open archive information system compliant model as a conceptual framework for building a digital repository. The model consists of data collection, conversion, data capture, transcription, arrangement, description, data extraction, database design and repository setup.FindingsA climate data repository, as the final product, is set up for digital images of registers and a database is designed for data storage. The repository provides dissemination of and access to the data for researchers, information professionals and the public.Research limitations/implicationsDoing a quality check is the most important aspect of rescuing historical scientific data to ensure the accuracy, reliability and consistency of data.Practical implicationsThe DRAW project shows how the use of historical scientific data has become a key element in research analysis on scientific fields, such as climatology and environmental protection.Originality/valueThe historical climate data set of the McGill Observatory is by nature unique and complex for preservation and research purposes. The management of historical scientific data is a challenge to rescue and describe as a result of its heterogeneous and non-standardized form.
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Skovgaard, Lea, Claus Thorn Ekstrøm, Mette N. Svendsen, and Klaus Hoeyer. "Survey of attitudes in a Danish public towards reuse of health data." PLOS ONE 19, no. 12 (2024): e0312558. https://doi.org/10.1371/journal.pone.0312558.
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Everyday clinical care generates vast amounts of digital data. A broad range of actors are interested in reusing these data for various purposes. Such reuse of health data could support medical research, healthcare planning, technological innovation, and lead to increased financial revenue. Yet, reuse also raises questions about what data subjects think about the use of health data for various different purposes. Based on a survey with 1071 respondents conducted in 2021 in Denmark, this article explores attitudes to health data reuse. Denmark is renowned for its advanced integration of data infrastructures, facilitating data reuse. This is therefore a relevant setting from which to explore public attitudes to reuse, both as authorities around the globe are currently working to facilitate data reuse opportunities, and in the light of the recent agreement on the establishment in 2024 of the European Health Data Space (EHDS) within the European Union (EU). Our study suggests that there are certain forms of health data reuse—namely transnational data sharing, commercial involvement, and use of data as national economic assets—which risk undermining public support for health data reuse. However, some of the purposes that the EHDS is supposed to facilitate are these three controversial purposes. Failure to address these public concerns could well challenge the long-term legitimacy and sustainability of the data infrastructures currently under construction.
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Kansa, Sarah Whitcher. "Using Linked Open Data to Improve Data Reuse in Zooarchaeology." Ethnobiology Letters 6, no. 2 (2015): 224–31. http://dx.doi.org/10.14237/ebl.6.2.2015.467.
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The inability of journals and books to accommodate data and to make it reusable has led to the gradual loss of vast amounts of information. The practice of disseminating selected sub-sets of data (usually in summary tables) permits only very limited types of reuse, and thus hampers scholarship. In recent years, largely in response to increasing government and institutional requirements for full data access, the scholarly community is giving data more attention, and solutions for data management are emerging. However, seeing data management primarily as a matter of compliance means that the research community faces continued data loss, as many datasets enter repositories without adequate description to enable their reuse. Furthermore, because many archaeologists do not yet have experience in data reuse, they lack understanding of what “good” data management means in terms of their own research practices. This paper discusses Linked Open Data (LOD) as an approach to improving data description, intelligibility and discoverability to facilitate reuse. I present examples of how annotating zooarchaeology datasets with LOD can facilitate data integration without forcing standardization. I conclude by recognizing that data sharing is not without its challenges. However, the research community’s careful attention and recognition of datasets as valuable scholarly outputs will go a long way toward ensuring that the products of our work are more widely useful.
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Goldstein, Scott. "Social Scientists’ Data Reuse Principally Influenced by Disciplinary Norms, Attitude, and Perceived Effort." Evidence Based Library and Information Practice 13, no. 2 (2018): 109–11. http://dx.doi.org/10.18438/eblip29415.
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A Review of:
 Yoon, A. & Kim, Y. (2017). Social scientists’ data reuse behaviors: Exploring the roles of attitudinal beliefs, attitudes, norms, and data repositories. Library & Information Science Research, 39(3), 224–233. https://doi.org/10.1016/j.lisr.2017.07.008
 Abstract
 Objective – To propose and test a model grounded in constructs from psychology and information systems to explain data reuse behaviours and practices in the social sciences.
 Design – Electronic survey.
 Setting – ProQuest’s Community of Science Scholars database.
 Subjects – Included 2,193 randomly selected social scientists associated with U.S. academic institutions.
 Methods – An electronic survey was distributed to a random sample of U.S.-based social science scholars from ProQuest’s Community of Science Scholars database. The survey adapted 21 measurement items for constructs taken from the theory of planned behaviour (TPB) and the technology acceptance model (TAM), including perceived usefulness, perceived effort, and the subjective norm surrounding data reuse.
 Main Results – There were 292 valid responses received, giving a response rate of 14.91%. Survey data largely validated the authors’ theoretical model. Attitudinal, normative, and resource factors all influence social scientists’ intended data reuse. In particular, perceived usefulness of reusing data and subjective norms surrounding data reuse in one’s discipline positively correlate with intentions to reuse data, and perceived concern of reusing data negatively correlate with intentions to reuse data.
 Conclusion – Data reuse in the social sciences is influenced by the perceptions and beliefs held by social scientists. Social scientists reuse others’ data when they perceive that doing so would improve their research productivity and when their discipline has strong norms of data reuse. They avoid reusing others’ data when they believe that doing so is problematic (e.g., if they believe reusing infringes on copyright). Supporters of data sharing, including librarians, are encouraged to apply these findings by proactively educating researchers on the benefits, potential obstacles, and methods of data reuse.
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Tóth, Katalin. "Georeferenced Agricultural Data for Statistical Reuse." Geosciences 8, no. 5 (2018): 188. http://dx.doi.org/10.3390/geosciences8050188.
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Kethers, Stefanie, Andrew Treloar, and Mingfang Wu. "Building Tools to Facilitate Data Reuse." International Journal of Digital Curation 11, no. 2 (2017): 1–12. http://dx.doi.org/10.2218/ijdc.v11i2.409.
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The Australian National Data Service (ANDS) has been funded by the Australian Government since 2009, with a goal to increase the value of data to researchers, research institutions and the nation. To achieve this goal, ANDS has funded more than 200 projects under seven programs. This paper provides an overview of one of these programs, the Applications Program, which focused on funding software infrastructure to enable data reuse to demonstrate the value of making data available to researchers. The paper also presents some representative projects, a summary of what the program has achieved, and lessons learned.
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Paleologu, Constantin, Jacob Benesty, and Silviu Ciochina. "Data-Reuse Recursive Least-Squares Algorithms." IEEE Signal Processing Letters 29 (2022): 752–56. http://dx.doi.org/10.1109/lsp.2022.3153207.
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Doerr, Allison. "Proteomics data reuse with MassIVE-KB." Nature Methods 16, no. 1 (2018): 26. http://dx.doi.org/10.1038/s41592-018-0283-9.
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Hu, J., M. Kandemir, N. Vijaykrishnan, and M. J. Irwin. "Analyzing data reuse for cache reconfiguration." ACM Transactions on Embedded Computing Systems 4, no. 4 (2005): 851–76. http://dx.doi.org/10.1145/1113830.1113836.
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Sobotkova, Adela. "Sociotechnical Obstacles to Archaeological Data Reuse." Advances in Archaeological Practice 6, no. 2 (2018): 117–24. http://dx.doi.org/10.1017/aap.2017.37.
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ABSTRACTThe ease of digital data capture and the proliferation of concepts such as the “data deluge” suggest that modern researchers are drowning in datasets. Yet citations of archaeological datasets are few and far between, pointing to low rates of data reuse. This article explores the difficulties that surround data reuse in large-scale regional research, including the cost and coordination necessary to extract useful data from digitized PDF reports. The amount of correction and enhancement matches the effort needed to undertake a small field survey project and can only be circumvented with a thoughtful application of computer-assisted text analysis. Missing data in excavation report PDFs are not only intractable but also insidious due to their concealed nature, leading to poor outcomes in terms of (re)use. Consequently, the degree of data reuse in archaeology has been overestimated.
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Yoon, Ayoung, and Yoo Young Lee. "Factors of trust in data reuse." Online Information Review 43, no. 7 (2019): 1245–62. http://dx.doi.org/10.1108/oir-01-2019-0014.
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Purpose The purpose of this paper is to quantitatively examine factors of trust in data reuse from the reusers’ perspectives. Design/methodology/approach This study utilized a survey method to test the proposed hypotheses and to empirically evaluate the research model, which was developed to examine the relationship each factor of trust has with reusers’ actual trust during data reuse. Findings This study found that the data producer (H1) and data quality (H3) were significant, as predicted, while scholarly community (H3) and data intermediary (H4) were not significantly related to reusers’ trust in data. Research limitations/implications Further disciplinary specific examinations should be conducted to complement the study findings and fully generalize the study findings. Practical implications The study finding presents the need for engaging data producers in the process of data curation, preferably beginning in the early stages and encouraging them to work with curation professionals to ensure data management quality. The study finding also suggests the need for re-defining the boundaries of current curation work or collaborating with other professionals who can perform data quality assessment that is related to scientific and methodological rigor. Originality/value By analyzing theoretical concepts in empirical research and validating the factors of trust, this study fills this gap in the data reuse literature.
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KIM, HYEONEUI, MARCELLINE R. HARRIS, GUERGANA K. SAVOVA, and CHRISTOPHER G. CHUTE. "The First Step Toward Data Reuse." CIN: Computers, Informatics, Nursing 26, no. 5 (2008): 282–89. http://dx.doi.org/10.1097/01.ncn.0000304839.59831.28.
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Yoon, Ayoung. "Role of communication in data reuse." Proceedings of the Association for Information Science and Technology 54, no. 1 (2017): 463–71. http://dx.doi.org/10.1002/pra2.2017.14505401050.
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