Relevant bibliographies by topics / Research Data Services

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Research Data Services'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 January 2023

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Journal articles on the topic "Research Data Services"

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Lassi, Monica, Maria Johnsson, and Koraljka Golub. "Research data services." IFLA Journal 42, no. 4 (November 30, 2016): 266–77. http://dx.doi.org/10.1177/0340035216671963.

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The paper reports on an exploratory study of researchers’ needs for effective research data management at two Swedish universities, conducted in order to inform the ongoing development of research data services. Twelve researchers from diverse fields have been interviewed, including biology, cultural studies, economics, environmental studies, geography, history, linguistics, media and psychology. The interviews were structured, guided by the Data Curation Profiles Toolkit developed at Purdue University, with added questions regarding subject metadata. The preliminary analysis indicates that the research data management practices vary greatly among the respondents, and therefore so do the implications for research data services. The added questions on subject metadata indicate needs of services guiding researchers in describing their datasets with adequate metadata.
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Silver, Breezy. "Wharton Research Data Services (WRDS)." Charleston Advisor 22, no. 3 (January 1, 2021): 46–51. http://dx.doi.org/10.5260/chara.22.3.46.

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Wharton Research Data Services (WRDS) is a unique, complex data resource popular with academia but also utilized in government agencies, nonprofits, and corporations. It contains financial and accounting related data and tools but also includes limited data from some other subject areas like healthcare and marketing. WRDS provides the interface to access datasets with limited datasets included and then individual datasets may also be purchased. WRDS makes accessing and using data easier for users, but it also depends on users having enough experience in the field to be familiar with the various vendors and data coverage. Within academia, faculty and graduate students may have an easier time even though undergraduates are permitted access. While it is complicated, it does ease some of the burdens of working with data. Because it is focused on data, it allows users to find and use data with less limitations that users may encounter with regular business databases.
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Cox, Andrew M., Mary Anne Kennan, Elizabeth Josephine Lyon, Stephen Pinfield, and Laura Sbaffi. "Progress in Research Data Services." International Journal of Digital Curation 14, no. 1 (September 11, 2019): 126–35. http://dx.doi.org/10.2218/ijdc.v14i1.595.

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University libraries have played an important role in constructing an infrastructure of support for Research Data Management at an institutional level. This paper presents a comparative analysis of two international surveys of libraries about their involvement in Research Data Services conducted in 2014 and 2018. The aim was to explore how services had developed over this time period, and to explore the drivers and barriers to change. In particular, there was an interest in how far the FAIR data principles had been adopted. Services in nearly every area were more developed in 2018 than before, but technical services remained less developed than advisory. Progress on institutional policy was also evident. However, priorities did not seem to have shifted significantly. Open ended answers suggested that funder policy, rather than researcher demand, remained the main driver of service development and that resources and skills gaps remained issues. While widely understood as an important reference point and standard, because of their relatively recent publication date, FAIR principles had not been widely adopted explicitly in policy.
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Tenopir, Carol, Sanna Talja, Wolfram Horstmann, Elina Late, Dane Hughes, Danielle Pollock, Birgit Schmidt, Lynn Baird, Robert J. Sandusky, and Suzie Allard. "Research Data Services in European Academic Research Libraries." LIBER QUARTERLY 27, no. 1 (February 2017): 23–44. http://dx.doi.org/10.18352/lq.10180.

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Sesartic, Ana, and Matthias Töwe. "Research Data Services at ETH-Bibliothek." IFLA Journal 42, no. 4 (November 30, 2016): 284–91. http://dx.doi.org/10.1177/0340035216674971.

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The management of research data throughout its life-cycle is both a key prerequisite for effective data sharing and efficient long-term preservation of data. This article summarizes the data services and the overall approach to data management as currently practised at ETH-Bibliothek, the main library of ETH Zürich, the largest technical university in Switzerland. The services offered by service providers within ETH Zürich cover the entirety of the data life-cycle. The library provides support regarding conceptual questions, offers training and services concerning data publication and long-term preservation. As research data management continues to play a steadily more prominent part in both the requirements of researchers and funders as well as curricula and good scientific practice, ETH-Bibliothek is establishing close collaborations with researchers, in order to promote a mutual learning process and tackle new challenges.
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Akers, Katherine G. "Going beyond data management planning: Comprehensive research data services." College & Research Libraries News 75, no. 8 (September 1, 2014): 435–36. http://dx.doi.org/10.5860/crln.75.8.9176.

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Bailit, H. L. "Health Services Research." Advances in Dental Research 17, no. 1 (December 2003): 82–85. http://dx.doi.org/10.1177/154407370301700119.

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The major barriers to the collection of primary population-based dental services data are: (1) Dentists do not use standard record systems; (2) few dentists use electronic records; and (3) it is costly to abstract paper dental records. The value of secondary data from paid insurance claims is limited, because dentists code only services delivered and not diagnoses, and it is difficult to obtain and merge claims from multiple insurance carriers. In a national demonstration project on the impact of community-based dental education programs on the care provided to underserved populations, we have developed a simplified dental visit encounter system. Senior students and residents from 15 dental schools (approximately 200 to 300 community delivery sites) will use computers or scannable paper forms to collect basic patient demographic and service data on several hundred thousand patient visits. Within the next 10 years, more dentists will use electronic records. To be of value to researchers, these data need to be collected according to a standardized record format and to be available regionally from public or private insurers.
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Kerby, Erin E. "Research data services in veterinary medicine libraries." Journal of the Medical Library Association : JMLA 104, no. 4 (October 2016): 305–8. http://dx.doi.org/10.3163/1536-5050.104.4.010.

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Bowles, K. A., E. H. Skinner, D. Mitchell, R. Haas, M. Ho, K. Salter, K. May, et al. "Data Collection Methods in Health Services Research." Applied Clinical Informatics 06, no. 01 (2015): 96–109. http://dx.doi.org/10.4338/aci-2014-10-ra-0097.

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Summary Background: Hospital length of stay and discharge destination are important outcome measures in evaluating effectiveness and efficiency of health services. Although hospital administrative data are readily used as a data collection source in health services research, no research has assessed this data collection method against other commonly used methods. Objective: Determine if administrative data from electronic patient management programs are an effective data collection method for key hospital outcome measures when compared with alternative hospital data collection methods. Method: Prospective observational study comparing the completeness of data capture and level of agreement between three data collection methods; manual data collection from ward-based sources, administrative data from an electronic patient management program (i.PM), and inpatient medical record review (gold standard) for hospital length of stay and discharge destination. Results: Manual data collection from ward-based sources captured only 376 (69%) of the 542 in-patient episodes captured from the hospital administrative electronic patient management program. Administrative data from the electronic patient management program had the highest levels of agreement with inpatient medical record review for both length of stay (93.4%) and discharge destination (91%) data. Conclusion: This is the first paper to demonstrate differences between data collection methods for hospital length of stay and discharge destination. Administrative data from an electronic patient management program showed the highest level of completeness of capture and level of agreement with the gold standard of inpatient medical record review for both length of stay and discharge destination, and therefore may be an acceptable data collection method for these measures. Citation: Sarkies MN, Bowles K-A, Skinner EH, Mitchell D, Haas R, Ho M, Salter K, May K, Markham D, O’Brien L, Plumb S, Haines T.P. Data collection methods in health services research – hospital length of stay and discharge destination. Appl Clin Inf 2015; 6: 96–109http://dx.doi.org/10.4338/ACI-2014-10-RA-0097
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Curdt, Constanze, and Dirk Hoffmeister. "Research data management services for a multidisciplinary, collaborative research project." Program: electronic library and information systems 49, no. 4 (September 1, 2015): 494–512. http://dx.doi.org/10.1108/prog-02-2015-0016.

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Purpose – Research data management (RDM) comprises all processes, which ensure that research data are well-organized, documented, stored, backed up, accessible, and reusable. RDM systems form the technical framework. The purpose of this paper is to present the design and implementation of a RDM system for an interdisciplinary, collaborative, long-term research project with focus on Soil-Vegetation-Atmosphere data. Design/methodology/approach – The presented RDM system is based on a three-tier (client-server) architecture. This includes a file-based data storage, a database-based metadata storage, and a self-designed user-friendly web-interface. The system is designed in cooperation with the local computing centre, where it is also hosted. A self-designed interoperable, project-specific metadata schema ensures the accurate documentation of all data. Findings – A RDM system has to be designed and implemented according to requirements of the project participants. General challenges and problems of RDM should be considered. Thus, a close cooperation with the scientists obtains the acceptance and usage of the system. Originality/value – This paper provides evidence that the implementation of a RDM system in the provided and maintained infrastructure of a computing centre offers many advantages. Consequently, the designed system is independent of the project funding. In addition, access and re-use of all involved project data is ensured. A transferability of the presented approach to another interdisciplinary research project was already successful. Furthermore, the designed metadata schema can be expanded according to changing project requirements.
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Dissertations / Theses on the topic "Research Data Services"

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Kollen, Christine, Inna Kouper, Mayu Ishida, Sarah Williams, and Kathleen Fear. "Research Data Services Maturity in Academic Libraries." American Library Association, Association of College and Research Libraries, 2017. http://hdl.handle.net/10150/622168.

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An ACRL white paper from 2012 reported that, at that time, only a small number of academic libraries in the United States and Canada offered research data services (RDS), but many were planning to do so within the next two years (Tenopir, Birch, and Allard, 2012). By 2013, 74% of the Association of Research Libraries (ARL) survey respondents offered RDS and an additional 23% were planning to do so (Fearon, Gunia, Pralle, Lake, and Sallans, 2013). The academic libraries recognize that the landscape of services changes quickly and that they need to support the changing needs of research and instruction. In their efforts to implement RDS, libraries often respond to pressures originating outside the library, such as national or funder mandates for data management planning and data sharing. To provide effective support for researchers and instructors, though, libraries must be proactive and develop new services that look forward and yet accommodate the existing human, technological, and intellectual capital accumulated over the decades. Setting the stage for data curation in libraries means to create visionary approaches that supersede institutional differences while still accommodating diversity in implementation. How do academic libraries work towards that? This chapter will combine an historical overview of RDS thinking and implementations based on the existing literature with an empirical analysis of ARL libraries’ current RDS goals and activities. The latter is based on the study we conducted in 2015 that included a content analysis of North American research library web pages and interviews of library leaders and administrators of ARL libraries. Using historical and our own data, we will synthesize the current state of RDS implementation across ARL libraries. Further, we will examine the models of research data management maturity (see, for example, Qin, Crowston and Flynn, 2014) and discuss how such models compare to our own three-level classification of services and activities offered at libraries - basic, intermediate, and advanced. Our analysis will conclude with a set of recommendations for next steps, i.e., actions and resources that a library might consider to expand their RDS to the next maturity level. References Fearon, D. Jr., Gunia, B., Pralle, B.E., Lake, S., Sallans, A.L. (2013). Research data management services. (ARL Spec Kit 334). Washington, D.C.: ARL. Retrieved from: http://publications.arl.org/Research-Data-Management-Services-SPEC-Kit-334/ Tenopir, C., Birch, B., & Allard, S. (2012). Academic libraries and research data services: Current practices and plans for the future. ACRL. Retrieved from http://www.ala.org/acrl/sites/ala.org.acrl/files/content/publications/whitepapers/Tenopir_Birch_Allard.pdf Qin, J., Crowston, K., & Flynn, C. (2014). 1.1 Commitment to Perform. A Capability Maturity Model for Research Data Management. wiki. Retrieved http://rdm.ischool.syr.edu/xwiki/bin/view/CMM+for+RDM/WebHome
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Ssebulime, Joseph. "The role academic libraries could play in developing research data management services : a case of Makerere University Library." Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/74961.

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Research data management (RDM) focuses on the organization and description of data, from its entry to the research cycle through to the dissemination and archiving of valuable results. RDM entails storage, security, preservation, compliance, quality, sharing and jurisdiction. In the academic world, RDM can support the research process by searching for relevant data, storing data, describing data and advising researchers on good RDM practice. This study focused on developing RDM services. The aim of the study was to establish the role Makerere University Library could play in developing RDM Services. A number of questions were formulated to guide the researcher in finding answers to the research questions. A literature review, based on the research sub-questions, was carried out. The review covered the concept of RDM, academic libraries and their RDM practices, various RDM services in academic libraries, RDM services that require sustainability and how current researchers, in general, manage their data. The research undertaken took a qualitative approach with a case study design. This was due to the need to gather in-depth and comprehensive views and experiences regarding RDM at Makerere University. A purposive sampling technique was used to identify researchers who are actively involved in managing research data at Makerere University. Data were collected using semi structured interviews, from eight participants; one from each college. The participants were selected because of their knowledge about RDM and semi-structured interviews were preferred due to their flexibility. An interview schedule was used as the data collection instrument. Data was transcribed into Microsoft Word for easy analysis. Findings that addressed the research question and sub-questions were presented and interpreted in chapter four and conclusions as well as recommendations were discussed in detail in chapter five of this research report. In summary it is possible to say that although researchers, from across the entire university, generate big volumes of research data it appears that researchers themselves manage, control and store their data making use of different removable devices. This is risky. So there is a need to develop RDM skills for all stakeholders. It does appear though that the researchers at Makerere University would be willing the support of RDM services if these are developed by the library.
Mini Dissertation (MIT)--University of Pretoria, 2017.
Carnegie Corporation of New York
Information Science
MIT
Unrestricted
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Patterton, Louise Hilda. "Research data management practices of emerging researchers at a South African research council." Diss., University of Pretoria, 2016. http://hdl.handle.net/2263/59502.

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Management of research data is globally being seen as part of good research practice. As a result of this, funders are increasingly insisting on proof of good research data management (RDM) practices when funding proposals are submitted. This study aimed at establishing the data management practices of emerging researchers at the Council for Scientific and Industrial Research (CSIR), South Africa. With no official RDM procedures currently being implemented at the CSIR, it was hoped that by gaining information about the RDM practices of emerging CSIR researchers, as well as insight into the RDM challenges experienced by them, this researcher would be able to put forward recommendations enabling the establishing of an RDM regime at the CSIR. The study aimed at answering several research questions. The main research question was: How can an organisation like the CSIR ensure that future researchers apply best practices when managing the CSIR’s research data? Five research sub-questions were identified: 1. What are the international RDM requirements, standards, best practices and expectations that are being developed? 2. What data practices need more formalised support: at CSIR, nationally, internationally? 3. What data are collected and held by emerging researchers in the CSIR? 4. What are the current RDM practices and themes among emerging researchers in the CSIR? 5. What are the RDM-related challenges, issues and concerns facing emerging researchers at the CSIR? A total of 48 emerging researchers from the Council for Scientific and Industrial Research (CSIR), South Africa completed an online survey investigating their RDM practices. RDM practices investigated included the use of data management plans, data storage and backup locations, creation of metadata, metadata standard adherence, and data sharing practices. Challenges faced when managing research data, as well as RDM needs and requirements, also formed part of the survey. Results of the online questionnaire revealed that the RDM practices of the group studied do not show to differ significantly from experienced CSIR researchers, or from researchers studied elsewhere on the globe. Findings enabled this researcher to put forward several recommendations which would assist in the implementing of a formalised RDM structure at the CSIR. Recommendations addressed, but were not limited to: formalization of RDM procedures, RDM marketing, and RDM training.
Dissertation (MIS)--University of Pretoria, 2016.
Information Science
MIS
Unrestricted
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Knoetze, Ronald Morgan. "The mining and visualisation of application services data." Thesis, Nelson Mandela Metropolitan University, 2005. http://hdl.handle.net/10948/451.

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Many network monitoring tools do not provide sufficiently in-depth and useful reports on network usage, particularly in the domain of application services data. The optimisation of network performance is only possible if the networks are monitored effectively. Techniques that identify patterns of network usage can assist in the successful monitoring of network performance. The main goal of this research was to propose a model to mine and visualise application services data in order to support effective network management. To demonstrate the effectiveness of the model, a prototype, called NetPatterns, was developed using data for the Integrated Tertiary Software (ITS) application service collected by a network monitoring tool on the NMMU South Campus network. Three data mining algorithms for application services data were identified for the proposed model. The data mining algorithms used are classification (decision tree), clustering (K-Means) and association (correlation). Classifying application services data serves to categorise combinations of network attributes to highlight areas of poor network performance. The clustering of network attributes serves to indicate sparse and dense regions within the application services data. Association indicates the existence of any interesting relationships between different network attributes. Three visualisation techniques were selected to visualise the results of the data mining algorithms. The visualisation techniques selected were the organisation chart, bubble chart and scatterplots. Colour and a variety of other visual cues are used to complement the selected visualisation techniques. The effectiveness and usefulness of NetPatterns was determined by means of user testing. The results of the evaluation clearly show that the participants were highly satisfied with the visualisation of network usage presented by NetPatterns. All participants successfully completed the prescribed tasks and indicated that NetPatterns is a useful tool for the analysis of network usage patterns.
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Husnain, Ali. "Identifying the existing status of e-services' sustainability research." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-26579.

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Fields, Evan(Evan Jerome). "Demand uncensored : car-sharing mobility services using data-driven and simulation-based techniques." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121825.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 141-145).
In the design and operation of urban mobility systems, it is often desirable to understand patterns in traveler demand. However, demand is typically unobserved and must be estimated from available data. To address this disconnect, we begin by proposing a method for recovering an unknown probability distribution given a censored or truncated sample from that distribution. The proposed method is a novel and conceptually simple detruncation technique based on sampling the observed data according to weights learned by solving a simulation-based optimization problem; this method is especially appropriate in cases where little analytic information about the unknown distribution is available but the truncation process can be simulated.
The proposed method is compared to the ubiquitous maximum likelihood (MLE) method in a variety of synthetic validation experiments where it is found that the proposed method performs slightly worse than perfectly specified MLE and competitively with slight misspecified MLE. We then describe a novel car-sharing simulator which captures many of the important interactions between supply, demand, and system utilization while remaining simple and computationally efficient. In collaboration with Zipcar, a leading car-sharing operator in the United States, we demonstrate the usefulness of our detruncation method combined with our simulator via a pair of case studies. These tools allow us to estimate demand for round trip car-sharing services in the Boston and New York metropolitan areas, and the inferred demand distributions contain actionable insights.
Finally, we extend the detruncation method to cover cases where data is noisy, missing, or must be combined from different sources such as web or mobile applications. In synthetic validation experiments, the extended method is benchmarked against kernel density estimation (KDE) with Gaussian kernels. We find that the proposed method typically outperforms KDE, especially when the distribution to be estimated is not unimodal. With this extended method we consider the added utility of search data when estimating demand for car-sharing.
by Evan Fields.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center
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Deng, Yanbo. "Using web services for customised data entry." Master's thesis, Lincoln University. Environment, Society and Design Division, 2007. http://theses.lincoln.ac.nz/public/adt-NZLIU20080313.185408/.

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Scientific databases often need to be accessed from a variety of different applications. There are usually many ways to retrieve and analyse data already in a database. However, it can be more difficult to enter data which has originally been stored in different sources and formats (e.g. spreadsheets, other databases, statistical packages). This project focuses on investigating a generic, platform independent way to simplify the loading of databases. The proposed solution uses Web services as middleware to supply essential data management functionality such as inserting, updating, deleting and retrieval of data. These functions allow application developers to easily customise their own data entry applications according to local data sources, formats and user requirements. We implemented a Web service to support loading data to the Germinate database at the New Zealand Institute of Crop & Food Research (CFR). We also provided language specific client toolkits to help developers invoke the Web service. The toolkits allow applications to be easily customised for different platforms. In addition, we developed sample applications to help end users load data from their project data sources via the Web service. The Web service approach was evaluated through user and developer trials. The feedback from the developer trial showed that using Web services as middleware is a useful approach to allow developers and competent end users to customise data entry with minimal effort. More importantly, the customised client applications enabled end users to load data directly from their project spreadsheets and databases. It significantly reduced the effort required for exporting or transforming the source data.
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Pafilis, Evangelos. "Web-based named entity recognition and data integration to accelerate molecular biology research." [S.l. : s.n.], 2008. http://nbn-resolving.de/urn:nbn:de:bsz:16-opus-89706.

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Rohunen, A. (Anna). "Advancing information privacy concerns evaluation in personal data intensive services." Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526224688.

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Abstract When personal data are collected and utilised to produce personal data intensive services, users of these services are exposed to the possibility of privacy losses. Users’ information privacy concerns may lead to non-adoption of new services and technologies, affecting the quality and the completeness of the collected data. These issues make it challenging to fully reap the benefits brought by the services. The evaluation of information privacy concerns makes it possible to address these concerns in the design and the development of personal data intensive services. This research investigated how privacy concerns evaluations should be developed to make them valid in the evolving data collection contexts. The research was conducted in two phases: employing a mixed-method research design and using a literature review methodology. In Phase 1, two empirical studies were conducted, following a mixed-method exploratory sequential design. In both studies, the data subjects’ privacy behaviour and privacy concerns that were associated with mobility data collection were first explored qualitatively, and quantitative instruments were then developed based on the qualitative results to generalise the findings. Phase 2 was planned to provide an extensive view on privacy behaviour and some possibilities to develop privacy concerns evaluation in new data collection contexts. Phase 2 consisted of two review studies: a systematic literature review of privacy behaviour models and a review of the EU data privacy legislation changes. The results show that in evolving data collection contexts, privacy behaviour and concerns have characteristics that differ from earlier ones. Privacy concerns have aspects specific to these contexts, and their multifaceted nature appears emphasised. Because privacy concerns are related to other privacy behaviour antecedents, it may be reasonable to incorporate some of these antecedents into evaluations. The existing privacy concerns evaluation instruments serve as valid starting points for evaluations in evolving personal data collection contexts. However, these instruments need to be revised and adapted to the new contexts. The development of privacy concerns evaluation may be challenging due to the incoherence of the existing privacy behaviour research. More overarching research is called for to facilitate the application of the existing knowledge
Tiivistelmä Kun henkilötietoja kerätään ja hyödynnetään dataintensiivisten palveluiden tuottamiseen, palveluiden käyttäjien tietosuoja saattaa heikentyä. Käyttäjien tietosuojahuolet voivat hidastaa uusien palveluiden ja teknologioiden käyttöönottoa sekä vaikuttaa kerättävän tiedon laatuun ja kattavuuteen. Tämä hankaloittaa palveluiden täysimittaista hyödyntämistä. Tietosuojahuolten arviointi mahdollistaa niiden huomioimisen henkilötietoperusteisten palveluiden suunnittelussa ja kehittämisessä. Tässä tutkimuksessa selvitettiin, kuinka tietosuojahuolten arviointia tulisi kehittää muuttuvissa tiedonkeruuympäristöissä. Kaksivaiheisessa tutkimuksessa toteutettiin aluksi empiirinen monimenetelmällinen tutkimus ja tämän jälkeen systemaattinen kirjallisuustutkimus. Ensimmäisessä vaiheessa tehtiin kaksi empiiristä tutkimusta monimenetelmällisen tutkimuksen tutkivan peräkkäisen asetelman mukaisesti. Näissä tutkimuksissa selvitettiin ensin laadullisin menetelmin tietosuojakäyttäytymistä ja tietosuojahuolia liikkumisen dataa kerättäessä. Laadullisten tulosten pohjalta kehitettiin kvantitatiiviset instrumentit tulosten yleistettävyyden tutkimiseksi. Tutkimuksen toisessa vaiheessa toteutettiin kaksi katsaustyyppistä tutkimusta, jotta saataisiin kattava käsitys tietosuojakäyttäytymisestä sekä mahdollisuuksista kehittää tietosuojahuolten arviointia uusissa tiedonkeruuympäristöissä. Nämä tutkimukset olivat systemaattinen kirjallisuuskatsaus tietosuojakäyttäytymisen malleista sekä katsaus EU:n tietosuojalainsäädännön muutoksista. Tutkimuksen tulokset osoittavat, että kehittyvissä tiedonkeruuympäristöissä tietosuojakäyttäytyminen ja tietosuojahuolet poikkeavat aikaisemmista ympäristöistä. Näissä ympäristöissä esiintyy niille ominaisia tietosuojahuolia ja huolten monitahoisuus korostuu. Koska tietosuojahuolet ovat kytköksissä muihin tietosuojakäyttäytymistä ennustaviin muuttujiin, arviointeihin voi olla aiheellista sisällyttää myös näitä muuttujia. Olemassa olevia tietosuojahuolten arviointi-instrumentteja on perusteltua käyttää arvioinnin lähtökohtana myös kehittyvissä tiedonkeruuympäristöissä, mutta niitä on mukautettava uusiin ympäristöihin soveltuviksi. Arvioinnin kehittäminen voi olla haasteellista, sillä aikaisempi tietosuojatutkimus on epäyhtenäistä. Jotta sitä voidaan soveltaa asianmukaisesti arviointien kehittämisessä, tutkimusta on vietävä kokonaisvaltaisempaan suuntaan
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Schwarzkopf, Larissa [Verfasser]. "Evidence generation in health services research : illustrative examples and conceptual thoughts on claims data-based applications / Larissa Schwarzkopf." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2018. http://d-nb.info/1187136042/34.

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Books on the topic "Research Data Services"

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Kaplan, Karen Orloff. Availability of federal data for social work research. Silver Spring, Md. (7981 Eastern Ave., Silver Spring 20910): National Center for Social Policy and Practice, 1989.

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Institute of Medicine (U.S.). Committee on the Role of Institutional Review Boards in Health Services Research Data Privacy Protection. Protecting data privacy in health services research. Washington, D.C: National Academy Press, 2000.

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Sobolev, Boris, Adrian Levy, and Sarah Goring, eds. Data and Measures in Health Services Research. Boston, MA: Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7673-4.

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Understanding statistics and market research data. London: Europa Publications, 2003.

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Murdock, Steven H. Secondary sources of research data. Alexandria, VA (4232 King St., Alexandria, VA, 22302-9950): American Chamber of Commerce Researchers Association, 1988.

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Marcos, Leiderman, and International Conference for Human Service Information Technology Applications (2nd : 1991 : New Brunswick, N.J.), eds. Technology in people services: Research, theory, and applications. New York: Haworth Press, 1993.

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Lisa, Kuramoto, ed. Analysis of waiting-time data in health services research. New York: Springer, 2008.

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Taylor, John H. Advancement services: Enhancing fundraising success. Washington, D.C: Council for Advancement and Support of Education, 2015.

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Health services research methods. 2nd ed. Clifton Park, NY: Thomson/Delmar Learning, 2008.

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Health services research methods. Albany: Delmar Publishers, 1997.

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Book chapters on the topic "Research Data Services"

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Henle, Theresa, Gregory J. Matthews, and Ofer Harel. "Data Confidentiality." In Health Services Research, 1–15. Boston, MA: Springer US, 2018. http://dx.doi.org/10.1007/978-1-4939-6704-9_28-1.

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Reinke, Caroline E., and Rachel R. Kelz. "Using Data for Local Quality Improvement." In Health Services Research, 79–87. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-28357-5_7.

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Chen, Shizhe, and XH Andrew Zhou. "Modeling and Analysis of Cost Data." In Health Services Research, 1–32. Boston, MA: Springer US, 2017. http://dx.doi.org/10.1007/978-1-4939-6704-9_3-1.

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Zhang, Ting, Clara Elizabeth, and Renzhi Cao. "Educational Application of Big Data Research: A Comparison of China and US." In Services – SERVICES 2020, 28–42. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59595-1_3.

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Neelon, Brian, and Alistair James O’Malley. "Two-Part Models for Zero-Modified Count and Semicontinuous Data." In Health Services Research, 1–23. New York, NY: Springer US, 2017. http://dx.doi.org/10.1007/978-1-4939-6704-9_17-1.

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Siddique, Juned, Donald Hedeker, and Robert D. Gibbons. "Analysis of Repeated Measures and Longitudinal Data in Health Services Research." In Health Services Research, 1–27. Boston, MA: Springer US, 2017. http://dx.doi.org/10.1007/978-1-4939-6704-9_1-1.

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Sperber, Wolfram. "Mathematical Research Data and Information Services." In Mathematical Software – ICMS 2016, 429–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42432-3_54.

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Zhan, Chunliu. "Health Services Information: Patient Safety Research Using Administrative Data." In Health Services Evaluation, 241–64. New York, NY: Springer US, 2019. http://dx.doi.org/10.1007/978-1-4939-8715-3_12.

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Mullner, Ross M. "Health Services Data: Typology of Health Care Data." In Data and Measures in Health Services Research, 1–32. Boston, MA: Springer US, 2015. http://dx.doi.org/10.1007/978-1-4899-7673-4_6-1.

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Schreur, Philip E., and Nancy Lorimer. "Linked Data in Libraries’ Technical Services Workflows." In Metadata and Semantic Research, 224–29. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70863-8_21.

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Conference papers on the topic "Research Data Services"

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Khan, Hammad Rauf, Hsia-Ching Chang, and Jeonghyun Kim. "Unfolding Research Data Services." In JCDL '18: The 18th ACM/IEEE Joint Conference on Digital Libraries. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3197026.3203887.

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Lindman, Juho, Matti Rossi, and Virpi Kristiina Tuunainen. "Open Data Services: Research Agenda." In 2013 46th Hawaii International Conference on System Sciences (HICSS). IEEE, 2013. http://dx.doi.org/10.1109/hicss.2013.430.

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Wang, Ruoyu, Zhen Liu, Yongming Cai, Deyu Tang, Jin Yang, and Zhao Yang. "Benchmark Data for Mobile App Traffic Research." In MobiQuitous '18: Computing, Networking and Services. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3286978.3287000.

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Zhong, Ruowu, and Huiping Wang. "Research of Commonly Used Association Rules Mining Algorithm in Data Mining." In information Services (ICICIS). IEEE, 2011. http://dx.doi.org/10.1109/icicis.2011.63.

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Tang, Huxin, and Xu Qian. "Research of WEB data mining and its application in social networks." In 2013 International Conference on Services Science and Services Information Technology. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/sssit131962.

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Xuemei, Chen, Gao Li, Wang Xi, Wei Zhonghua, Zhang Zhenhua, and Liao Zhigao. "The Research on the Data Mining Technology in the Active Demand Management." In information Services (ICICIS). IEEE, 2011. http://dx.doi.org/10.1109/icicis.2011.125.

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Ananthakrishnan, Rachana, Ben Blaiszik, Kyle Chard, Ryan Chard, Brendan McCollam, Jim Pruyne, Stephen Rosen, Steven Tuecke, and Ian Foster. "Globus Platform Services for Data Publication." In PEARC '18: Practice and Experience in Advanced Research Computing. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3219104.3219127.

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Apanovich, Zinaida Vladimirovna. "Russian and International Data Sources: Integration of Data on Russian Research Organizations." In 23rd Scientific Conference “Scientific Services & Internet – 2021”. Keldysh Institute of Applied Mathematics, 2021. http://dx.doi.org/10.20948/abrau-2021-1s-ceur.

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This paper considers international and Russian-language data sources providing information about Russian research-related organizations. Information about research organizations is an important attribute that enables one to identify the authors of scientific publications, as well as to analyze the geographical distribution of publications and to assess the impact on the citation of the publications associated with geographic factors. However, information about national research organizations, for example, information about Russian research organizations, is often incomplete or distorted in international databases. Data sources such as GRID, Russian and English chapters of Wikipedia, Wikidata and eLIBRARY.ru are considered. It is demonstrated that Russian-language data sources contain more information about Russian research-related organizations than most international data sources, but this information is not available in English-language data sources. To solve this problem, a method for integrating information from multilingual data sources has been developed. Experiments on the comparison and integration of information about Russian research organizations in international and Russian data sources are outlined. An experimental version of the database of scientific organizations comprising 3143 scientific organizations has been created. The work is an intermediate step towards the creation of an open and extensible knowledge graph.
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Walenciak, Georg, Beate Stollberg, Steffen Neubauer, and Alexander Zipf. "Extending Spatial Data Infrastructures 3D by Geoprocessing Functionality - 3D Simulations in Disaster Management and environmental Research." In Web Services. IEEE, 2009. http://dx.doi.org/10.1109/geows.2009.16.

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Apanovich, Zinaida Vladimirovna. "Matching and integration of data about Russian research organizations from multilingual data sources." In 23rd Scientific Conference “Scientific Services & Internet – 2021”. Keldysh Institute of Applied Mathematics, 2021. http://dx.doi.org/10.20948/abrau-2021-13.

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Information about research organizations is an important attribute that enables identifying authors of scientific publications, as well as analyzing the geographical distribution of publications and assessing the impact on the citation of publications associated with a geographic factor. Unfortunately, information on national research-related organizations is often incomplete or distorted in international databases. This applies, in particular, to Russian research organizations represented in English-language databases. The paper presents experiments on data matching and integration about Russian research organizations in multilingual data sources. Data sources such as GRID, Wikipedia, Wikidata and eLIBRARY.ru are considered.
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Reports on the topic "Research Data Services"

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Ali, Ibraheem, Thea Atwood, Renata Curty, Jimmy Ghaphery, Tim McGeary, Jennifer Muilenburg, and Judy Ruttenberg. Research Data Services: Partnerships. Association of Research Libraries and Canadian Association of Research Libraries, January 2022. http://dx.doi.org/10.29242/report.rdspartnerships2022.

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The Association of Research Libraries (ARL)/Canadian Association of Research Libraries (CARL) Joint Task Force on Research Data Services (RDS) formed in 2020 with a two-fold purpose: (1) to demonstrate and commit to the roles research libraries have in stewarding research data and as part of institution-wide research support services and (2) to guide the development of resources for the ARL and CARL memberships in advancing their organizations as collaborative partners with respect to research data services in the context of FAIR (findable, accessible, interoperable, and reusable) data principles and the US National Academies’ Open Science by Design framework. Research libraries will be successful in meeting these objectives if they act collectively and are deeply engaged with disciplinary communities. The task force formed three working groups of data practitioners, representing a wealth of expertise, to research the institutional landscape and policy environment in both the US and Canada. This report of the ARL/CARL RDS task force’s working group on partnerships highlights library RDS programs’ work with partners and stakeholders. The report provides a set of tools for libraries to use when assessing their RDS partnerships, including assessing partnerships using a partnership life cycle, defining the continuum of possible partnerships, and creating a catalog. Not all partnerships will last the entirety of a librarian’s career, and having clear parameters for when to continue or sunset a partnership can reduce ambiguity and free up resources. Recognizing the continuum of possible partnerships can provide the framework by which librarians can understand the nature of each group. From cyclical to seasonal to sporadic, understanding the needs of a type of partnership can help libraries frame their understanding and meet a group where they are. Finally, creating a catalog of partnerships can help libraries see the landscape of the organization, as well as areas for growth. This approach also aligns with OCLC’s 2020 report on Social Interoperability in Research Support: Cross-Campus Partnerships and the University Research Enterprise, which highlights the necessity of building and stewarding partnerships. Developing and providing services in a decentralized organization relies on the ability to build trusted relationships. These tools will help libraries achieve sustainable growth that is in concert with their partners, generating robust, clearly aligned initiatives that benefit all parties, their campuses, and their communities.
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Brundy, Curtis, and Megan N. O'Donnell. Iowa State University Library Research Data Services Gap Analysis. Ames, IA: Iowa State University Digital Repository, February 2019. http://dx.doi.org/10.31274/cos_reports-20180813-000.

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Radecki, Jane, and Rebecca Springer. Research Data Services in US Higher Education: A Web-Based Inventory. Ithaka S+R, November 2020. http://dx.doi.org/10.18665/sr.314397.

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Whitehead, Martha, Dale Askey, Donna Bourne-Tyson, Karen Estlund, Susan Haigh, Claire Stewart, Kornelia Tancheva, Tyler Walters, Jennifer Muilenburg, and Judy Ruttenberg. ARL/CARL Joint Task Force on Research Data Services: Final Report. Association of Research Libraries and Canadian Association of Research Libraries, July 2021. http://dx.doi.org/10.29242/report.arlcarlrdstaskforce2021.

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The Association of Research Libraries (ARL)/Canadian Association of Research Libraries (CARL) Joint Task Force on Research Data Services formed in 2020 with a two-fold purpose: (1) to demonstrate and commit to the roles research libraries have in stewarding research data and as part of institution-wide research support services and (2) to guide the development of resources for the ARL and CARL memberships in advancing their organizations as collaborative partners with respect to research data services in the context of FAIR (findable, accessible, interoperable, and reusable) data principles and the US National Academies’ Open Science by Design framework. Research libraries will be successful in meeting these objectives if they act collectively and are deeply engaged with disciplinary communities. The task force formed three working groups of data practitioners, representing a wealth of expertise, to research the institutional landscape and policy environment in both the US and Canada. This report presents the task force’s recommendations for the roles of research libraries with regard to research data principles, policies, and approaches to managing research data. The report also offers strategies for discipline-specific research data approaches, priorities for automation of processes, economic models to scale and sustain shared resources, prioritization of research data to steward, and decision-making rubrics.
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Fedorenko, Elena H., Vladyslav Ye Velychko, Svitlana O. Omelchenko, and Vladimir I. Zaselskiy. Learning free software using cloud services. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3886.

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The article deals with the use of cloud technology services in the study of free software. Free software is a social phenomenon based on the philosophy of freedom and the right to intellectual creative activity. To date, a significant number of software products have been created that are licensed under free software and not used in educational activities. The conducted research revealed the factors promoting and hindering the use of free software in educational activities. Conducted questionnaires, analysis of open data, research of scientists made it possible to conclude on the expediency of using free software in educational activities. Cloud technology is not only a modern trend of effective use of information and communication technologies in professional activity, but also a proven tool for educational activities. To get acquainted with the free software, the use of cloud technologies has been helpful, which is the goal of our research.
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Bass, Jordan, Emma Popowich, Andrea Szwajcer, and Sherri Vokey. Library Impact Practice Brief: Developing and Delivering New Research Services at the University of Manitoba Libraries. Association of Research Libraries, May 2022. http://dx.doi.org/10.29242/brief.umanitoba2022.

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This practice brief provides an overview of lessons learned in developing and deploying the Research Services & Digital Strategies unit at the University of Manitoba Libraries. The brief reviews and assesses the initial delivery and outcomes of three existing research support services—research data management, digitization, and research impact—and discusses next steps for these services.
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Backstrom, Robert, and David Backstrom. Firefighter Safety and Photovoltaic Installations Research Project. UL Firefighter Safety Research Institute, November 2011. http://dx.doi.org/10.54206/102376/viyv4379.

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Under the United States Department of Homeland Security (DHS) Assistance to Firefighter Grant Fire Prevention and Safety Research Program, Underwriters Laboratories examined fire service concerns of photovoltaic (PV) systems. These concerns include firefighter vulnerability to electrical and casualty hazards when mitigating a fire involving photovoltaic (PV) modules systems. The need for this project is significant acknowledging the increasing use of photovoltaic systems, growing at a rate of 30% annually. As a result of greater utilization, traditional firefighter tactics for suppression, ventilation and overhaul have been complicated, leaving firefighters vulnerable to potentially unrecognized exposure. Though the electrical and fire hazards associated with electrical generation and distribution systems is well known, PV systems present unique safety considerations. A very limited body of knowledge and insufficient data exists to understand the risks to the extent that the fire service has been unable to develop safety solutions and respond in a safe manner. This fire research project developed the empirical data that is needed to quantify the hazards associated with PV installations. This data provides the foundation to modify current or develop new firefighting practices to reduce firefighter death and injury. A functioning PV array was constructed at Underwriters Laboratories in Northbrook, IL to serve as a test fixture. The main test array consisted of 26 PV framed modules rated 230 W each (5980 W total rated power). Multiple experiments were conducted to investigate the efficacy of power isolation techniques and the potential hazard from contact of typical firefighter tools with live electrical PV components. Existing fire test fixtures located at the Delaware County Emergency Services Training Center were modified to construct full scale representations of roof mounted PV systems. PV arrays were mounted above Class A roofs supported by wood trusses. Two series of experiments were conducted. The first series represented a room of content fire, extending into the attic space, breaching the roof and resulting in structural collapse. Three PV technologies were subjected to this fire condition – rack mounted metal framed, glass on polymer modules, building integrated PV shingles, and a flexible laminate attached to a standing metal seam roof. A second series of experiments was conducted on the metal frame technology. These experiments represented two fire scenarios, a room of content fire venting from a window and the ignition of debris accumulation under the array. The results of these experiments provide a technical basis for the fire service to examine their equipment, tactics, standard operating procedures and training content. Several tactical considerations were developed utilizing the data from the experiments to provide specific examples of potential electrical shock hazard from PV installations during and after a fire event.
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Hudson Vitale, Cynthia, and Judy Ruttenberg. Investments in Open: Association of Research Libraries US University Member Expenditures on Services, Collections, Staff, and Infrastructure in Support of Open Scholarship. Association of Research Libraries, November 2022. http://dx.doi.org/10.29242/report.investmentsinopen2022.

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Open access (OA) and the broad sharing of research outputs has been empirically shown to accelerate scientific progress and benefit society and individuals at scale through improved health outcomes, socioeconomic mobility, and environmental well-being, to name a few. Academic research libraries, for their part, have made significant investments in opening up research and scholarship—particularly research conducted on their campuses and made available through journal subscriptions. Yet these investments are difficult to collect given their distribution across many budget lines, the lack of standardized reporting categories, and inconsistent data collection practices. In May–June 2022 the Association of Research Libraries (ARL) undertook a survey of its US-based academic research libraries to better understand OA expenses. This report presents the survey results.
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Lazdane, Gunta, Dace Rezeberga, Ieva Briedite, Elizabete Pumpure, Ieva Pitkevica, Darja Mihailova, and Marta Laura Gravina. Sexual and reproductive health in the time of COVID-19 in Latvia, qualitative research interviews and focus group discussions, 2020 (in Latvian). Rīga Stradiņš University, February 2021. http://dx.doi.org/10.25143/fk2/lxku5a.

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Qualitative research is focused on the influence of COVID-19 pandemic and restriction measures on sexual and reproductive health in Latvia. Results of the anonymous online survey (I-SHARE) of 1173 people living in Latvia age 18 and over were used as a background in finalization the interview and the focus group discussion protocols ensuring better understanding of the influencing factors. Protocols included 9 parts (0.Introduction. 1. COVID-19 general influence, 2. SRH, 3. Communication with health professionals, 4.Access to SRH services, 5.Communication with population incl. three target groups 5.1. Pregnant women, 5.2. People with suspected STIs, 5.3.Women, who require abortion, 6. HIV/COVID-19, 7. External support, 8. Conclusions and recommendations. Data include audiorecords in Latvian of: 1) 11 semi-structures interviews with policy makers including representatives from governmental and non-governmental organizations involved in sexual and reproductive health, information and health service provision. 2) 12 focus group discussions with pregnant women (1), women in postpartum period (3) and their partners (3), people living with HIV (1), health care providers involved in maternal health care and emergency health care for women (4) (2021-02-18) Subject: Medicine, Health and Life Sciences Keywords: Sexual and reproductive health, COVID-19, access to services, Latvia
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Homan, Rick, and Catherine Searle. Programmatic implications of a cost study of home-based care programs in South Africa. Population Council, 2005. http://dx.doi.org/10.31899/hiv14.1001.

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The HIV/AIDS epidemic has meant that an increasing number of chronically ill people need ongoing assistance with care and support. Programs providing home-based care (HBC) services are a key component of the response to HIV/AIDS. However, few programs are using operations research, including cost studies, to decide what services to provide and how to structure their services. In 2004, the Horizons Program undertook a study of six HBC programs from different South African provinces to provide key information to NGOs, government ministries, donors, and the programs themselves to inform decisions about service delivery. The study analyzed the cost of HBC services, the best use of resources, and how well programs are able to meet the needs of beneficiaries and their families. The sample represents programs that operate in rural areas and informal settlements. This brief focuses on the coverage, organization, volume, and costs of the services and on findings from two of the methods of data collection: financial records and service statistics, and interviews with financial officers, program managers, and caregivers.
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