Practical considerations for a library's research data management services: the case of the National Institutes of Health Library.
Objective: This study investigates research data management (RDM) services using a crosstab framework with the National Institutes of Health (NIH) Library as a case study to provide practical considerations for libraries seeking to improve their RDM services. Methods: We conducted semistructured int...
| Publicado en: | Journal of the Medical Library Association Vol. 109; no. 3; pp. 450 - 459 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
University of Pittsburgh, University Library System
Jul2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=152939178&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 152939178 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15365050 PI8 jtl: Journal of the Medical Library Association issn: 15365050 maglogo: N pubinfo: dt: Jul2021 vid: 109 iid: 3 pid: 60406 pub: University of Pittsburgh, University Library System place: Pittsburgh, Pennsylvania artinfo: ui: 152939178 152939178 152939178 10.5195/jmla.2021.995 152939178 ppf: 450 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Practical considerations for a library's research data management services: the case of the National Institutes of Health Library. aug: au: Soojung Kim Sue Yeon Syn affil: Department of Library and Information Science, Jeonbuk National University, Jeonju, South Korea sug: subj: Libraries, Health Sciences Administration Research, Medical Data Management Human Semi-Structured Interview Librarians Conceptual Framework Descriptive Statistics ab: Objective: This study investigates research data management (RDM) services using a crosstab framework with the National Institutes of Health (NIH) Library as a case study to provide practical considerations for libraries seeking to improve their RDM services. Methods: We conducted semistructured interviews with four librarians who provide data services at the NIH Library regarding library user characteristics, RDM services provided, RDM infrastructure, and collaboration experiences. Through the analysis of interview transcripts, we identified and analyzed the NIH Library's RDM services according to Online Computer Library Center (OCLC)'s three categories of RDM services and the six stages of the data lifecycle. Results: The findings show that the two models' crosstab framework can provide an overview of an institution's current RDM services and identify service gaps. The NIH Library tends to take more responsibility in providing education and expertise services while relying more on information technology departments for curation services. The library provides significant support for data creation, analysis, and sharing stages to meet biomedical researchers' needs, suggesting areas for potential expansion of RDM services in the less supported stages of data description, storage, and preservation. Based on these findings, we recommend three key considerations for libraries: identify gaps in current services, identify services that can be supported via partnerships, and get regular feedback from users. Conclusion: These findings provide a deeper understanding of RDM support on the basis of RDM service categories and the data lifecycle and promote discussion of issues to be considered for future improvements in RDM services. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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