Managing research data at an academic library in a developing country

Renwick, Shamin; Winter, Marsha; Gill, Michelle A.

doi:10.1177/0340035216688703

Cited by 18 publications

(14 citation statements)

References 18 publications

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“…Buys and Shaw (2015) found that social and humanities researchers prefer long-term (even unlimited) data storage. Diversity was also confirmed in other studies, which investigated researchers from different areas (Schumacher and VandeCreek, 2015; Buys and Shaw, 2015; Weller and Monroe-Gulick, 2014; Renwick et al , 2017). In the area of medicine, Piwowar (2011) identified 15 factors influencing researchers’ preparedness to share their data, divided into five categories: authorship, funding, institution, publication and domain environments.…”

Section: Introduction and Literature Surveysupporting

confidence: 77%

Research data management and research data literacy in Slovenian science

Vilar

Zabukovec

2019

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Purpose The purpose of this paper is to investigate the differences between scientific disciplines (SDs) in Slovenia in research data literacy (RDL) and research data management (RDM) to form recommendations regarding how to move things forward on the institutional and national level. Design/methodology/approach Purposive sample of active researchers was used from widest possible range of SD. Data were collected from April 21 to August 7, 2017, using 24-question online survey (5 demographic, 19 content questions (single/multiple choice and Likert scale type). Bivariate (ANOVA) and multivariate methods (clustering) were used. Findings The authors identified three perception-related and four behavior-related connections; this gave three clusters per area. First, perceptions – skeptical group, mainly social (SocS) and natural sciences (NatS): no clear RDM and ethical issues standpoints, do not agree that every university needs a data management plan (DMP). Careful group, again including mainly SocS and NatS: RDM is problematic and linked to ethical dilemmas, positive toward institutional DMPs. Convinced group, mainly from humanities (HUM), NatS, engineering (ENG) and medicine and health sciences (MedHeS): no problems regarding RDM, agrees this is an ethical question, is positive toward institutional DMP’s. Second, behaviors – sparse group, mainly from MedHeS, NatS and HUM, some agricultural scientists (AgS), and some SocS and ENG: do not tag data sets with metadata, do not use file-naming conventions/standards. Frequent group – many ENG, SocS, moderate numbers of NatS, very few AgS and only a few MedHeS and HUM: often use file-naming conventions/standards, version-control systems, have experience with public-domain data, are reluctant to use metadata with their RD. Slender group, mainly from AgS and NatS, moderate numbers of ENG, SocS and HUM, but no MedHeS: often use public-domain data, other three activities are rare. Research limitations/implications Research could be expanded to a wider population, include other stakeholders and use qualitative methods. Practical implications Results are useful for international comparisons but also give foundations and recommendations on institutional and national RDM and RDL policies, implementations, and how to bring academic libraries into the picture. Identified differences suggest that different educational, awareness-raising and participatory approaches are needed for each group. Originality/value The findings offer valuable insight into RDM and RDL of Slovenian scientists, which have not yet been investigated in Slovenia.

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Section: Introduction and Literature Surveysupporting

confidence: 77%

Research data management and research data literacy in Slovenian science

Vilar

Zabukovec

2019

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“…The interview subjects demonstrated uncertainty about data sharing, problems with data storage, and significant interest in library support with these aspects of data management. Similarly, Renwick et al (2017) conducted a pilot study of 100 researchers across disciplines at the University of the West Indies in the Caribbean and found from the 65 valid responses a lack of knowledge in data management best practices. For example, 66% of respondents used flash-drives as a data storage method.…”

Section: Literature Reviewmentioning

confidence: 99%

User needs assessment for research data services in a research university

Joo

Peters

2019

Journal of Librarianship and Information Science

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This study assesses the needs of researchers for data-related assistance and investigates their research data management behavior. A survey was conducted, and 186 valid responses were collected from faculty, researchers, and graduate students across different disciplines at a research university. The services for which researchers perceive the greatest need include assistance with quantitative analysis and data visualization. Overall, the need for data-related assistance is relatively higher among health scientists, while humanities researchers demonstrate the lowest need. This study also investigated the data formats used, data documentation and storage practices, and data-sharing behavior of researchers. We found that researchers rarely use metadata standards, but rely more on a standard file-naming scheme. As to data sharing, respondents are likely to share their data personally upon request or as supplementary materials to journal publications. The findings of this study will be useful for planning user-centered research data services in academic libraries.

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“…Libraries have to play an active role in sensitising the researchers towards the importance of properly documenting, organising and preserving datasets for future. Generally, the researchers are not aware of the importance of preserving research datasets for future 24 . They lack the ability to express their data management plans and how they will preserve and share them in future 31 .…”

Section: Literature Reviewmentioning

confidence: 99%

“…They lack the ability to express their data management plans and how they will preserve and share them in future 31 . The librarians are expected to support researchers in their research data plans and practices and provide the technical infrastructure and support for actual data storage 24 . These services should not be one size fits all.…”

Section: Literature Reviewmentioning

confidence: 99%

Research Data Management Practices in University libraries: A study

Tripathi¹,

Shukla²,

Sonkar³

2017

DJLIT

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<p>The paper has studied the research data management (RDM) services implemented by different university libraries for managing, organizing, curating and preserving research data generated at their universities’ departments and laboratories, for data reuse and sharing. It has surveyed the central university libraries and the best 20 university libraries of the world to highlight how RDM is extended to the researchers. Further, it has suggested a model for the university libraries in the country to follow for actually deploying RDM services. </p>

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Managing research data at an academic library in a developing country

Cited by 18 publications

References 18 publications

Research data management and research data literacy in Slovenian science

Research data management and research data literacy in Slovenian science

User needs assessment for research data services in a research university

Research Data Management Practices in University libraries: A study

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