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Journal articles on the topic 'Task Group on Discovery and Metadata'

Author: Grafiati

Published: 26 July 2024

Last updated: 31 July 2025

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1

Turp, Clara, Lee Wilson, Julienne Pascoe, and Alex Garnett. "The Fast and the FRDR: Improving Metadata for Data Discovery in Canada." Publications 8, no. 2 (2020): 25. http://dx.doi.org/10.3390/publications8020025.

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The Federated Research Data Repository (FRDR), developed through a partnership between the Canadian Association of Research Libraries’ Portage initiative and the Compute Canada Federation, improves research data discovery in Canada by providing a single search portal for research data stored across Canadian governmental, institutional, and discipline-specific data repositories. While this national discovery layer helps to de-silo Canadian research data, challenges in data discovery remain due to a lack of standardized metadata practices across repositories. In recognition of this challenge, a

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Meyer, Raïssa, Ward Appeltans, William Duncan, et al. "Aligning Standards Communities for Omics Biodiversity Data: Sustainable Darwin Core-MIxS Interoperability." Biodiversity Data Journal 11 (October 3, 2023): e112420. https://doi.org/10.3897/BDJ.11.e112420.

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The standardization of data, encompassing both primary and contextual information (metadata), plays a pivotal role in facilitating data (re-)use, integration, and knowledge generation. However, the biodiversity and omics communities, converging on omics biodiversity data, have historically developed and adopted their own distinct standards, hindering effective (meta)data integration and collaboration.In response to this challenge, the Task Group (TG) for Sustainable DwC-MIxS Interoperability was established. Convening experts from the Biodiversity Information Standards (TDWG) and the Genomic S

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Kuzak, Mateusz, Jen Harrow, Paula Martinez, Fotis Psomopoulos, and Allegra Via. "ELIXIR Europe on the Road to Sustainable Research Software." Biodiversity Information Science and Standards 3 (July 2, 2019): e37677. https://doi.org/10.3897/biss.3.37677.

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ELIXIR (ELIXIR Europe 2019a) is an intergovernmental organization that brings together life science resources across Europe. These resources include databases, software tools, training materials, cloud storage, and supercomputers. One of the goals of ELIXIR is to coordinate these resources so that they form a single infrastructure. This infrastructure makes it easier for scientists to find and share data, exchange expertise, and agree on best practices. ELIXIR's activities are divided into the following five areas: Data, Tools, Interoperability, Compute and Training, each known as "platform".

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Paul, Deborah, and Pamela Soltis. "Progress Out of a Pandemic: Global collections, data sharing, and changing standards of practice." Biodiversity Information Science and Standards 4 (October 9, 2020): e59268. https://doi.org/10.3897/biss.4.59268.

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The COVID-19 pandemic has disrupted all aspects of our lives, but has also spawned new opportunities. Months of multidisciplinary, global collaboration have explored the connections between natural history collections and COVID-19. Museums have unrivalled (and still largely untapped) potential to contribute data, methods, and expertise to prediction, mitigation, and prevention efforts related to zoonotic disease outbreaks (DiEuliis et al. 2016, Dunnum et al. 2017), and there is a clear need for ongoing collaboration across (at least) microbiology, disease ecology, and natural history collectio

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Woodburn, Matt, Deborah L. Paul, William Ulate, and Niels Raes. "Exposing the Dark Data of Undigitized Collections: A TDWG global standard for collection descriptions." Biodiversity Information Science and Standards 3 (June 19, 2019): e37201. https://doi.org/10.3897/biss.3.37201.

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Aggregating content of museum and scientific collections worldwide offers us the opportunity to realize a virtual museum of our planet and the life upon it through space and time. By mapping specimen-level data records to standards and publishing this information, an increasing number of collections contribute to a digitally accessible wealth of knowledge. Visualizing these digital records by parameters such as collection type and geographic origin, helps collections and institutions to better understand their digital holdings and compare them to other such collections, as well as enabling res

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Hoarfrost, Adrienne, Nick Brown, C. Titus Brown, and Carol Arnosti. "Sequencing data discovery with MetaSeek." Bioinformatics 35, no. 22 (2019): 4857–59. http://dx.doi.org/10.1093/bioinformatics/btz499.

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Abstract Summary Sequencing data resources have increased exponentially in recent years, as has interest in large-scale meta-analyses of integrated next-generation sequencing datasets. However, curation of integrated datasets that match a user’s particular research priorities is currently a time-intensive and imprecise task. MetaSeek is a sequencing data discovery tool that enables users to flexibly search and filter on any metadata field to quickly find the sequencing datasets that meet their needs. MetaSeek automatically scrapes metadata from all publicly available datasets in the Sequence R

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Koivula, Hanna, Christoph Wohner, Barbara Magagna, Acquaviva d'Aragona Paolo Tagliolato, and Alessandro Oggioni. "Mobilising Long-Term Natural Environment and Biodiversity Data and Exposing it for Federated, Semantic Queries." Biodiversity Information Science and Standards 7 (September 7, 2023): e112221. https://doi.org/10.3897/biss.7.112221.

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Biodiversity and ecosystems cannot be studied without assessing the impacts of changing environmental conditions. Since the 1980s, the U.S. National Science Foundation's Long Term Ecological Research (LTER) Network has been a major force in the field of ecology to better understand ecosystems. In Europe, the LTER developments are led by the the Integrated European Long-Term Ecosystem, critical zone and socio-ecological system Research Infrastructure (eLTER RI), a currently project-based infrastructure initiative with the aim to facilitate high impact research and catalyse new insights about th

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Habermann, Ted. "Metadata 2020 Metadata Evaluation Projects." Research Ideas and Outcomes 6 (June 17, 2020): e54176. https://doi.org/10.3897/rio.6.e54176.

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Metadata 2020: a cross-community collaboration that advocates richer, connected, reusable, and open metadata for all research outputs to advance scholarly pursuits for the benefit of society. A group of volunteers working together trying to encourage and facilitate progress towards this challenging goal. Management guru Peter Druker famously said "If you can't measure it, you can't improve it". With that in mind, several Metadata 2020 projects examined approaches to metadata evaluation and connections between evaluation and guidance. Accomplishing this progress across the broad expanse of the

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Hagen, Brianne. "Book Review: Managing Metadata in Web-scale Discovery Systems." Library Resources & Technical Services 61, no. 3 (2017): 172. http://dx.doi.org/10.5860/lrts.61n3.172.

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Managing metadata in libraries today presents challenges to information professionals concerned with quality control, providing relevant search results, and taming the volume of items available for access in a web-scale discovery system. No longer are libraries limited to the collections they “own.” Catalogers and metadata professionals now assume the responsibility of providing access to millions of resources, often with limitations on who can access that resource. Relationships with vendors provide opportunities to help manage the gargantuan scale of information. Of course those opportunitie

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Miles, Simon, Juri Papay, Terry Payne, Michael Luck, and Luc Moreau. "Towards a Protocol for the Attachment of Metadata to Grid Service Descriptions and Its Use in Semantic Discovery." Scientific Programming 12, no. 4 (2004): 201–11. http://dx.doi.org/10.1155/2004/170481.

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Service discovery in large scale, open distributed systems is difficult because of the need to filter out services suitable to the task at hand from a potentially huge pool of possibilities. Semantic descriptions have been advocated as the key to expressive service discovery, but the most commonly used service descriptions and registry protocols do not support such descriptions in a general manner. In this paper, we present a protocol, its implementation and an api for registering semantic service descriptions and other task/user-specific metadata, and for discovering services according to the

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Michel, Franck, and The Bioschemas Community. "Bioschemas & Schema.org: a Lightweight Semantic Layer for Life Sciences Websites." Biodiversity Information Science and Standards 2 (May 22, 2018): e25836. http://dx.doi.org/10.3897/biss.2.25836.

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Web portals are commonly used to expose and share scientific data. They enable end users to find, organize and obtain data relevant to their interests. With the continuous growth of data across all science domains, researchers commonly find themselves overwhelmed as finding, retrieving and making sense of data becomes increasingly difficult. Search engines can help find relevant websites, but the short summarizations they provide in results lists are often little informative on how relevant a website is with respect to research interests. To yield better results, a strategy adopted by Google,

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Michel, Franck, and Bioschemas Community The. "Bioschemas & Schema.org: a Lightweight Semantic Layer for Life Sciences Websites." Biodiversity Information Science and Standards 2 (May 22, 2018): e25836. https://doi.org/10.3897/biss.2.25836.

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Web portals are commonly used to expose and share scientific data. They enable end users to find, organize and obtain data relevant to their interests. With the continuous growth of data across all science domains, researchers commonly find themselves overwhelmed as finding, retrieving and making sense of data becomes increasingly difficult. Search engines can help find relevant websites, but the short summarizations they provide in results lists are often little informative on how relevant a website is with respect to research interests. To yield better results, a strategy adopted by Google,

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Chundru, Swathi. "Harnessing the Power of AI: Revolutionizing Metadata Management with Machine Learning." FMDB Transactions on Sustainable Computer Letters 2, no. 3 (2024): 164–75. https://doi.org/10.69888/ftscl.2024.000242.

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This paper presents the possibility of changing metadata management through AI and ML and proposes an approach to classifying and discovering metadata. This work takes a sample dataset with time-based impedance values ranging from 12.3 to 45.8 seconds and accuracy levels ranging from 0.87 to 0.95 to compare the performance of the various machine learning algorithms, such as decision trees, SVM, random forests, and CNN. It evaluates the performance of AI-based metadata discovery systems on different types of datasets, including healthcare, social media, and finance, by using Python as the core

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Williamschen, Jodi. "Work in Progress: The PCC Task Group on Metadata Application Profiles." Cataloging & Classification Quarterly 58, no. 3-4 (2020): 458–63. http://dx.doi.org/10.1080/01639374.2020.1717708.

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Evans, Bruce J., Karen Snow, Elizabeth Shoemaker, et al. "Competencies through Community Engagement: Developing the Core Competencies for Cataloging and Metadata Professional Librarians." Library Resources & Technical Services 62, no. 4 (2018): 188. http://dx.doi.org/10.5860/lrts.62n4.188.

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In 2015 the Association for Library Collections and Technical Services Cataloging and Metadata Management Section (ALCTS CaMMS) Competencies for a Career in Cataloging Interest Group (CECCIG) charged a task force to create a core competencies document for catalogers. The process leading to the final document, the Core Competencies for Cataloging and Metadata Professional Librarians, involved researching the use of competencies documents, envisioning an accessible final product, and engaging in collaborative writing. Additionally, the task force took certain measures to solicit and incorporate

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Raszewski, Rebecca, Lorraine Porcello, Alissa Fial, et al. "Using expert knowledge and peer review to create a reproducible process for the NAHRS Nursing Essential Resources List (NNERL)." Journal of the Medical Library Association 113, no. 1 (2025): 78–84. https://doi.org/10.5195/jmla.2025.1964.

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Background: Librarians have relied on resource lists for developing nursing collections, but these lists are usually in static or subscription-based formats. An example of this is the 26th edition of the Essential Nursing Resources last published in 2012. The Nursing and Allied Health Resources and Services (NAHRS) Caucus Nursing Essential Resources List (NNERL) Task Force has been working on a new list since Fall 2020. The goal of the Task Force is to create a nursing resource list that represents current materials and formats, uses a selection process that is transparent and reproducible, an

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Su, Shian, Vincent J. Carey, Lori Shepherd, Matthew Ritchie, Martin T. Morgan, and Sean Davis. "BiocPkgTools: Toolkit for mining the Bioconductor package ecosystem." F1000Research 8 (May 29, 2019): 752. http://dx.doi.org/10.12688/f1000research.19410.1.

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Motivation: The Bioconductor project, a large collection of open source software for the comprehension of large-scale biological data, continues to grow with new packages added each week, motivating the development of software tools focused on exposing package metadata to developers and users. The resulting BiocPkgTools package facilitates access to extensive metadata in computable form covering the Bioconductor package ecosystem, facilitating downstream applications such as custom reporting, data and text mining of Bioconductor package text descriptions, graph analytics over package dependenc

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Ocvirk, Pierre, Gilles Landais, Laurent Michel, et al. "Associated data: Indexation, discovery, challenges and roles." EPJ Web of Conferences 186 (2018): 02002. http://dx.doi.org/10.1051/epjconf/201818602002.

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Astronomers are nowadays required by their funding agencies to make the data obtained through public-financed means (ground and space observatories and labs) available to the public and the community at large. This is a fundamental step in enabling the open science paradigm the astronomical community is striving for. In other words, tabular data (catalogs) arriving to CDS for ingestion into its databases, in particular VizieR, is more and more frequently accompanied by the reduced observed dataset (spectra, images, data cubes, time series). While the benefits of making this associated data ava

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Ben Seghir, Nadia, Okba Kazar, Khaled Rezeg, and Samir Bourekkache. "A semantic web services discovery approach based on a mobile agent using metadata." International Journal of Intelligent Computing and Cybernetics 10, no. 1 (2017): 12–29. http://dx.doi.org/10.1108/ijicc-02-2015-0006.

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Purpose The success of web services involved the adoption of this technology by different service providers through the web, which increased the number of web services, as a result making their discovery a tedious task. The UDDI standard has been proposed for web service publication and discovery. However, it lacks sufficient semantic description in the content of web services, which makes it difficult to find and compose suitable web services during the analysis, search, and matching processes. In addition, few works on semantic web services discovery take into account the user’s profile. The

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Dumontier, Michel, Alasdair J. G. Gray, M. Scott Marshall, et al. "The health care and life sciences community profile for dataset descriptions." PeerJ 4 (August 16, 2016): e2331. http://dx.doi.org/10.7717/peerj.2331.

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Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. However, while there are many relevant vocabularies for the annotation of a dataset, none sufficiently captures all the necessary metadata. This prevents uniform indexing and querying of dataset repositories. Towards providing a practical guide for producing a high quality description of biomedical datasets, the W3C Semantic Web for Health Care and the Life Sciences Interest Group (HCLSIG) identified Resource Description Framework (RDF) vocabularies that could be used to specify comm

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Kaiser, Kathryn A., John Chodacki, Ted Habermann, et al. "Metadata: The accelerant we need." Information Services & Use 40, no. 3 (2020): 181–91. http://dx.doi.org/10.3233/isu-200094.

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Large-scale pandemic events have sent scientific communities scrambling to gather and analyze data to provide governments and policy makers with information to inform decisions and policies needed when imperfect information is all that may be available. Historical records from the 1918 influenza pandemic reflect how little improvement has been made in how government and policy responses are formed when large scale threats occur, such as the COVID-19 pandemic. This commentary discusses three examples of how metadata improvements are being, or may be made, to facilitate gathering and assessment

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Ball, Alexander, Sean Chen, Jane Greenberg, Cristina Perez, Keith Jeffery, and Rebecca Koskela. "Building a Disciplinary Metadata Standards Directory." International Journal of Digital Curation 9, no. 1 (2014): 142–51. http://dx.doi.org/10.2218/ijdc.v9i1.308.

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The Research Data Alliance (RDA) Metadata Standards Directory Working Group (MSDWG) is building a directory of descriptive, discipline-specific metadata standards. The purpose of the directory is to promote the discovery, access and use of such standards, thereby improving the state of research data interoperability and reducing duplicative standards development work.This work builds upon the UK Digital Curation Centre's Disciplinary Metadata Catalogue, a resource created with much the same aim in mind. The first stage of the MSDWG's work was to update and extend the information contained in t

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Suominen, Tommi, Joonas Kesäniemi, and Hanna Koivula. "Making Schemas and Mappings Available and FAIR: A metadata and schema crosswalk registry from the FAIRCORE4EOSC project." Biodiversity Information Science and Standards 7 (September 7, 2023): e112223. https://doi.org/10.3897/biss.7.112223.

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Community standards like the Darwin Core (Darwin Core Task Group 2009) together with semantic artefacts (controlled vocabularies, ontologies, thesauri, and other knowledge organisation systems) are key building blocks for the implementation of the FAIR (Findable, Accessible, Interoperable, Reusable) principles (Wilkinson et al. 2016), specifically as emphasized in the Interoperability principle I2 "(Meta)data use vocabularies that follow FAIR principles". However, most of these artefacts are actually not FAIR themselves (Le Franc et al. 2020). To address this, the FAIRCORE4EOSC project (2022-2

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Pfeil, Andreas, Thomas Jejkal, Sabrine Chelbi, and Nicolas Blumenröhr. "A FAIR Digital Object Lab Software Stack." Research Ideas and Outcomes 8 (October 12, 2022): e94408. https://doi.org/10.3897/rio.8.e94408.

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Preprocessing data for research, like finding, accessing, unifying or converting, takes up to large parts of research time spans (Wittenburg and Strawn 2018). The FAIR (Findability, Accessibility, Interoperability, Reusability) principles (Wilkinson 2016) aim to support and facilitate the (re)use of data, and will contribute to alleviating this problem. A FAIR Digital Object (FAIR DO) captures research data resources of all kinds (raw data, metadata, software, ...) in order to align them with the FAIR principles.FAIR Digital Objects are expressive, machine-actionable pointers to research data

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Kopsachilis, Vasilis, and Michail Vaitis. "GeoLOD: A Spatial Linked Data Catalog and Recommender." Big Data and Cognitive Computing 5, no. 2 (2021): 17. http://dx.doi.org/10.3390/bdcc5020017.

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The increasing availability of linked data poses new challenges for the identification and retrieval of the most appropriate data sources that meet user needs. Recent dataset catalogs and recommenders provide advanced methods that facilitate linked data search, but none exploits the spatial characteristics of datasets. In this paper, we present GeoLOD, a web catalog of spatial datasets and classes and a recommender for spatial datasets and classes possibly relevant for link discovery processes. GeoLOD Catalog parses, maintains and generates metadata about datasets and classes provided by SPARQ

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Blundell, Jon. "Managing 3D Collections Data: Developing Systems and Metadata for 3D Digitization at Scale." Biodiversity Information Science and Standards 2 (June 15, 2018): e26704. http://dx.doi.org/10.3897/biss.2.26704.

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As 3D digitization becomes more common in collections documentation and research, there is a growing need for tools which address the special needs of 3D data stewardship. Systems are needed to manage both the scan data collected during digitization activities, as well as the 3D models generated from that data. These systems need to be able to preserve and make transparent the complex relationships inherent in the data created from 3D digitization activities. They need to connect digital surrogates back to the objects they represent as well as provide an easy way to discover and retrieve that

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Blundell, Jon. "Managing 3D Collections Data: Developing Systems and Metadata for 3D Digitization at Scale." Biodiversity Information Science and Standards 2 (June 15, 2018): e26704. https://doi.org/10.3897/biss.2.26704.

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As 3D digitization becomes more common in collections documentation and research, there is a growing need for tools which address the special needs of 3D data stewardship. Systems are needed to manage both the scan data collected during digitization activities, as well as the 3D models generated from that data. These systems need to be able to preserve and make transparent the complex relationships inherent in the data created from 3D digitization activities. They need to connect digital surrogates back to the objects they represent as well as provide an easy way to discover and retrieve that

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Helal, Ahmed, Mossad Helali, Khaled Ammar, and Essam Mansour. "A demonstration of KGLac." Proceedings of the VLDB Endowment 14, no. 12 (2021): 2675–78. http://dx.doi.org/10.14778/3476311.3476317.

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Data science growing success relies on knowing where a relevant dataset exists, understanding its impact on a specific task, finding ways to enrich a dataset, and leveraging insights derived from it. With the growth of open data initiatives, data scientists need an extensible set of effective discovery operations to find relevant data from their enterprise datasets accessible via data discovery systems or open datasets accessible via data portals. Existing portals and systems suffer from limited discovery support and do not track the use of a dataset and insights derived from it. We will demon

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Guay, Beth. "A Case Study on the Path to Resource Discovery." Information Technology and Libraries 36, no. 3 (2017): 18–47. http://dx.doi.org/10.6017/ital.v36i3.9966.

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A meeting in April 2015 explored the potential withdrawal of valuable collections of microfilm held by the University of Maryland, College Park Libraries. This resulted in a project to identify OCLC record numbers (OCN) for addition to OCLC’s Chadwyck-Healey Early English Books Online (EEBO) KBART file.[i] Initially, the project was an attempt to adapt cataloging workflows to a new environment in which the copy cataloging of e-resources takes place within discovery system tools rather than traditional cataloging utilities and MARC record set or individual record downloads into online catalogs.

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Mozzherin, Dmitry, Deborah Paul, and Amanda Whitmire. "Can We Standardize Name Reconciliaton via OpenRefine?" Biodiversity Information Science and Standards 8 (August 19, 2024): e134910. https://doi.org/10.3897/biss.8.134910.

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Scientific names in biodiversity represent one of the oldest identifiers used in science. As a result, a common repetitive task is being able to reconcile a list of scientific names against curated data sources. Reconciliation allows one to determine if names in a list are spelled correctly, whether they are currently accepted, and their nomenclatural status. There are several online and local resources that provide reconciliation services. We share here the potential in interoperability across reconciliation tools.Global Names Verifier (GNverifier), Catalogue of Life, Global Biodiversity Info

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Dass, Gaurhari, Manh-Tu Vu, Pan Xu, et al. "The omics discovery REST interface." Nucleic Acids Research 48, W1 (2020): W380—W384. http://dx.doi.org/10.1093/nar/gkaa326.

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Abstract The Omics Discovery Index is an open source platform that can be used to access, discover and disseminate omics datasets. OmicsDI integrates proteomics, genomics, metabolomics, models and transcriptomics datasets. Using an efficient indexing system, OmicsDI integrates different biological entities including genes, transcripts, proteins, metabolites and the corresponding publications from PubMed. In addition, it implements a group of pipelines to estimate the impact of each dataset by tracing the number of citations, reanalysis and biological entities reported by each dataset. Here, we

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Oliver, Chris. "Identifying Resources: FRBR and Accessibility." Scientific and Technical Libraries, no. 7 (July 1, 2017): 42–54. http://dx.doi.org/10.33186/1027-3689-2017-7-42-54.

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This paper will outline some of the key aspects of the FRBR family of conceptual models that support resource discovery especially for persons who are blind, visually impaired, or otherwise print disabled. The FRBR family of models have had a significant influence on the ways in which communities around the globe perceive and understand the bibliographic universe. This paper will focus on two areas where the conceptual models have had an important impact: bibliographic information as data and the precise delineation between content and carrier. The paper focuses on these two areas because they

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Leng, Chew Bee, Kamsiah Mohd Ali, and Ch’ng Eng Hoo. "Open access repositories on open educational resources." Asian Association of Open Universities Journal 11, no. 1 (2016): 35–49. http://dx.doi.org/10.1108/aaouj-06-2016-0005.

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Purpose Triggered by the advancement of information and communications technology, open access repositories (a variant of digital libraries) is one of the important changes impacting library services. In the context of openness to a wider community to access free resources, Wawasan Open University Library initiated a research project to build open access repositories on open educational resources. Open educational resources (OER) is an area of a multifaceted open movement in education. The purpose of this paper is to show how two web portal repositories on OER materials were developed adopting

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Salim, José Augusto, and Antonio Saraiva. "A Google Sheet Add-on for Biodiversity Data Standardization and Sharing." Biodiversity Information Science and Standards 4 (October 2, 2020): e59228. https://doi.org/10.3897/biss.4.59228.

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For those biologists and biodiversity data managers who are unfamiliar with information science data practices of data standardization, the use of complex software to assist in the creation of standardized datasets can be a barrier to sharing data.Since the ratification of the Darwin Core Standard (DwC) (Darwin Core Task Group 2009) by the Biodiversity Information Standards (TDWG) in 2009, many datasets have been published and shared through a variety of data portals. In the early stages of biodiversity data sharing, the protocol Distributed Generic Information Retrieval (DiGIR), progenitor of

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Othman, Houcemeddine, Lyndon Zass, Jorge E. B. da Rocha, et al. "African Genomic Medicine Portal: A Web Portal for Biomedical Applications." Journal of Personalized Medicine 12, no. 2 (2022): 265. http://dx.doi.org/10.3390/jpm12020265.

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Genomics data are currently being produced at unprecedented rates, resulting in increased knowledge discovery and submission to public data repositories. Despite these advances, genomic information on African-ancestry populations remains significantly low compared with European- and Asian-ancestry populations. This information is typically segmented across several different biomedical data repositories, which often lack sufficient fine-grained structure and annotation to account for the diversity of African populations, leading to many challenges related to the retrieval, representation and fi

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Wu, Xin, Jeran Stratford, Karen Kesler, et al. "CureSCi Metadata Catalog—Finding and harmonizing studies for secondary analysis of hydroxyurea discontinuation in sickle cell disease." PLOS One 20, no. 4 (2025): e0309572. https://doi.org/10.1371/journal.pone.0309572.

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Objectives Sickle cell disease (SCD) is a rare group of inherited red blood cell disorders that affect hemoglobin, resulting in serious multi-system complications. The limited number of patients available to participate in research studies can inhibit investigating sophisticated relationships. Secondary analysis is a research method that involves using existing data to answer new research questions. Data harmonization enables secondary analysis by combining data across studies, especially helpful for rare disease research where individual studies may be small. The National Heart, Lung, and Blo

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Veena, S. T., and A. Selvaraj. "Forensic steganalysis for identification of steganography software tools using multiple format image." International Journal of Informatics and Communication Technology (IJ-ICT) 10, no. 3 (2021): 188–97. https://doi.org/10.11591/ijict.v10i3.pp188-197.

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Today many steganographic software tools are freely available on the Internet, which helps even callow users to have covert communication through digital images. Targeted structural image steganalysers identify only a particular steganographic software tool by tracing the unique fingerprint left in the stego images by the steganographic process. Image steganalysis proves to be a tough challenging task if the process is blind and universal, the secret payload is very less and the cover image is in lossless compression format. A payload independent universal steganalyser which identifies the ste

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Cabanac, Guillaume, Theodora Oikonomidi, and Isabelle Boutron. "Day-to-day discovery of preprint–publication links." Scientometrics 126, no. 6 (2021): 5285–304. http://dx.doi.org/10.1007/s11192-021-03900-7.

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AbstractPreprints promote the open and fast communication of non-peer reviewed work. Once a preprint is published in a peer-reviewed venue, the preprint server updates its web page: a prominent hyperlink leading to the newly published work is added. Linking preprints to publications is of utmost importance as it provides readers with the latest version of a now certified work. Yet leading preprint servers fail to identify all existing preprint–publication links. This limitation calls for a more thorough approach to this critical information retrieval task: overlooking published evidence transl

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Thompson, Alexander, and Deborah Paul. "TDWG 2017 Collections Description Interest Group Meeting." Biodiversity Information Science and Standards 1 (August 15, 2017): e20322. https://doi.org/10.3897/tdwgproceedings.1.20322.

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The Collections Description Interest Group is dedicated to developing and supporting the Natural Collections Description (NCD) data standard for describing entire collections of natural history materials. Examples include collections of specimens, observation data, original artwork, photographs, and materials from the many voyages of discovery that have been conducted. The standard was brought up to the draft stage in 2008, and we are re-forming the interest group to attempt to finish it. Collection description records contain information about the collection, access and usage of the collectio

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Veena, S. T., and A. Selvaraj. "Forensic steganalysis for identification of steganography software tools using multiple format image." International Journal of Informatics and Communication Technology (IJ-ICT) 10, no. 3 (2021): 188. http://dx.doi.org/10.11591/ijict.v10i3.pp188-197.

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<p>Today many steganographic software tools are freely available on the Internet, which helps even callow users to have covert communication through digital images. Targeted structural image steganalysers identify only a particular steganographic software tool by tracing the unique fingerprint left in the stego images by the steganographic process. Image steganalysis proves to be a tough challenging task if the process is blind and universal, the secret payload is very less and the cover image is in lossless compression format. A payload independent universal steganalyser which identifie

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Vaughan, Jason. "Investigations into Library Web-Scale Discovery Services." Information Technology and Libraries 31, no. 1 (2008): 32. http://dx.doi.org/10.6017/ital.v31i1.1916.

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Web-scale discovery services for libraries provide deep discovery to a library’s local and licensed content, and represent an evolution, perhaps a revolution, for end user information discovery as pertains to library collections. This article frames the topic of web-scale discovery, and begins by illuminating web-scale discovery from an academic library’s perspective – that is, the internal perspective seeking widespread staff participation in the discovery conversation. This included the creation of a discovery task force, a group which educated library staff, conducted internal staff surveys

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Dougan, Kirstin. "The “Black Box”: How Students Use a Single Search Box to Search for Music Materials." Information Technology and Libraries 37, no. 4 (2018): 81–106. http://dx.doi.org/10.6017/ital.v37i4.10702.

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Given the inherent challenges music materials present to systems and searchers (formats, title forms and languages, and the presence of additional metadata such as work numbers and keys), it is reasonable that those searching for music develop distinctive search habits compared to patrons in other subject areas. This study uses transaction log analysis of the music and performing arts module of a library’s federated discovery tool to determine how patrons search for music materials. It also makes a top-level comparison of searches done using other broadly defined subject disciplines’ modules i

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Blumenröhr, Nicolas, Thomas Jejkal, Andreas Pfeil, and Rainer Stotzka. "FAIR Digital Object Application Case for Composing Machine Learning Training Data." Research Ideas and Outcomes 8 (October 12, 2022): e94113. https://doi.org/10.3897/rio.8.e94113.

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The application case for implementing and using the FAIR Digital Object (FAIR DO) concept (Schultes and Wittenburg 2019), aims to simplify the access to label information for composing Machine Learning (ML) (Awad and Khanna 2015) training data.Data sets curated by different domain experts usually have non-identical label terms. This prevents images with similar labels from being easily assigned to the same category. Therefore, using them collectively for application as training data in ML comes with the cost of laborious relabeling. The data needs to be machine-interpretable and -actionable to

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Buschbom, Jutta, Ben Collier, Matt Woodburn, et al. "Simple Models, Complex Vocabularies: Developing Controlled Vocabularies for an Interdisciplinary Collection Management System in RECODE." Biodiversity Information Science and Standards 8 (August 22, 2024): e135228. https://doi.org/10.3897/biss.8.135228.

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Situated at the intersection of distinct stakeholder communities and their objectives, collection management systems (CMS) need to integrate and mediate a wide range of demands to provide functionality, user experience, and data fit for purpose. While metadata standards, (e.g., Biodiversity Information Standards (TDWG) Darwin Core (Darwin Core Task Group 2009) and its Latimer Core (Grant et al. 2024), and Pinian Core (Plinian Core Task Group 2021) extensions) and ontologies, (e.g., the World Wide Web Consortium (W3C) Provenance Ontology (Lebo et al. 2013) or the W3C Open Digital Rights Languag

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Lackner, Arthur, Said Fathalla, Mojtaba Nayyeri, et al. "Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade." Scientometrics 126, no. 9 (2021): 8129–51. http://dx.doi.org/10.1007/s11192-021-04072-0.

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AbstractThe publish or perish culture of scholarly communication results in quality and relevance to be are subordinate to quantity. Scientific events such as conferences play an important role in scholarly communication and knowledge exchange. Researchers in many fields, such as computer science, often need to search for events to publish their research results, establish connections for collaborations with other researchers and stay up to date with recent works. Researchers need to have a meta-research understanding of the quality of scientific events to publish in high-quality venues. Howev

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Orrell, Alison J., Frank F. Eves, and Rich SW Masters. "Motor Learning of a Dynamic Balancing Task After Stroke: Implicit Implications for Stroke Rehabilitation." Physical Therapy 86, no. 3 (2006): 369–80. http://dx.doi.org/10.1093/ptj/86.3.369.

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Abstract Background and Purpose. After a stroke, people often attempt to consciously control their motor actions, which, paradoxically, disrupts optimal performance. A learning strategy that minimizes the accrual of explicit knowledge may circumvent attempts to consciously control motor actions, thereby resulting in better performance. The purpose of this study was to examine the implicit learning of a dynamic balancing task after stroke by use of 1 of 2 motor learning strategies: learning without errors and discovery learning. Participants and Methods. Ten adults with stroke and 12 older adul

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Gesi, Antoinette T., Dominic W. Massaro, and Michael M. Cohen. "Discovery and Expository Methods in Teaching Visual Consonant and Word Identification." Journal of Speech, Language, and Hearing Research 35, no. 5 (1992): 1180–88. http://dx.doi.org/10.1044/jshr.3505.1180.

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An experiment was conducted to examine the processes involved in lipreading as well as to investigate an optimal approach to teaching lipreading skill. We compared discovery and expository methods of learning to lip-read. Twenty-six college students with normal hearing were trained over 3 days to lip-read consonant-vowel (CV) syllables. The training material consisted of a prerecorded videotape of four different talkers. The task was a forced-choice procedure with feedback. Subjects learned with training, but there was no difference between the two learning methods. As a retention measure, sub

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Botturi, Luca, Loredana Addimando, Martin Hermida, Azza Bouleimen, Chiara Beretta, and Silvia Giordano. "Exploring online search behaviors for information literacy education." Journal of Media Literacy Education 17, no. 1 (2025): 34–57. https://doi.org/10.23860/jmle-2025-17-1-3.

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Information Literacy education is challenged by an ever-changing and complex environment. The design and development of current and effective Information Literacy education requires a thorough understanding of how young people search information online, which mainly happens with generalist search engines. The present study involved a voluntary sample of 152 young people (age group 16-20), who were asked to solve four different information tasks. We collected 595 search stories, each containing the sequence of navigation actions performed while solving a single information task, enriched with a

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Baskauf, Steven J., Duque Jennifer Girón, and Matthew Nielsen. "Using the Audubon Core Controlled Vocabularies for subjectPart and subjectOrientation." Biodiversity Information Science and Standards 6 (August 1, 2022): e90955. https://doi.org/10.3897/biss.6.90955.

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When the Audubon Core Multimedia Resources Metadata Schema*1 was ratified, it included two terms for describing what was being viewed in an image of an organism: ac:subjectPart, to indicate the morphological component of the organism included in the view, and ac:subjectOrientation, to describe the direction or viewing angle of the subject part relative to the image aquisition device. Although it was recommended that values for those terms come from controlled vocabularies, no such vocabularies had been created by TDWG. In 2019, the Views Controlled Vocabularies Task Group*2 was chartered to de

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Vieglais, Dave, Stephen Richard, Hong Cui, et al. "Internet of Samples: Progress report." Biodiversity Information Science and Standards 5 (September 27, 2021): e75797. https://doi.org/10.3897/biss.5.75797.

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Material samples form an important portion of the data infrastructure for many disciplines. Here, a material sample is a physical object, representative of some physical thing, on which observations can be made. Material samples may be collected for one project initially, but can also be valuable resources for other studies in other disciplines. Collecting and curating material samples can be a costly process. Integrating institutionally managed sample collections, along with those sitting in individual offices or labs, is necessary to faciliate large-scale evidence-based scientific research.

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