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      A survey of medical researchers indicates poor awareness of research data management processes and a role for data librarians

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          Abstract

          Background

          The European Parliament's directive on open data indicates the direction to follow for all public institutions in Europe. The portal Polish Platform of Medical Research (PPM) required more information about researcher attitudes and training requirements for strategic planning.

          Objectives

          The aim was to assess (1) the status of knowledge about research data management among medical researchers in Poland, and (2) their attitudes towards data sharing. This knowledge may help to inform a training program and adapt PPM to the requirements of researchers.

          Methods

          The authors circulated an online survey and received responses from 603 researchers representing medical sciences and related disciplines. The survey was conducted in 2019 at seven Polish medical universities and at the Nofer Institute of Occupational Medicine. Analysis used descriptive statistics.

          Results

          Data sharing was not widespread (55.7% only shared with their research team, 9.8% had shared data on an open access basis). Many cited possible benefits of research data sharing but were concerned about drawbacks (e.g. fraud, plagiarism).

          Discussion

          Polish medical scientists, like many researchers, are not aware of the processes required for safe data preparation for sharing. Academic libraries should develop roles for data librarians to help train researchers.

          Conclusion

          Fears about the dangers of data sharing need to be overcome before researchers are willing to share their own research data.

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          Most cited references19

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          ‘A completely new culture of doing research.’ Coronavirus outbreak changes how scientists communicate

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            Data Day to Day: building a community of expertise to address data skills gaps in an academic medical center

            Background The New York University Health Sciences Library data services team had developed educational material for research data management and data visualization and had been offering classes at the request of departments, research groups, and training programs, but many members of the medical center were unaware of these library data services. There were also indications of data skills gaps in these subject areas and other data-related topics. Case Presentation The data services team enlisted instructors from across the medical center with data expertise to teach in a series of classes hosted by the library. We hosted eight classes branded as a series called “Data Day to Day.” Seven instructors from four units in the medical center, including the library, taught the classes. A multipronged outreach approach resulted in high turnout. Evaluations indicated that attendees were very satisfied with the instruction, would use the skills learned, and were interested in future classes. Conclusions Data Day to Day met previously unaddressed data skills gaps. Collaborating with outside instructors allowed the library to serve as a hub for a broad range of data instruction and to raise awareness of library services. We plan to offer the series three times in the coming year with an expanding roster of classes.
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              Maturing research data services and the transformation of academic libraries

              Purpose A major development in academic libraries in the last decade has been recognition of the need to support research data management (RDM). The purpose of this paper is to capture how library research data services (RDS) have developed and to assess the impact of this on the nature of academic libraries. Design/methodology/approach Questionnaire responses from libraries in Australia, Canada, Germany, Ireland, the Netherlands, New Zealand, the UK and USA from 2018 are compared to a previous data set from 2014. Findings The evidence supports a picture of the spread of RDS, especially advisory ones. However, future ambitions do not seem to have seen much evolution. There is limited evidence of organisational change and skills shortages remain. Most service development can be explained as the extension of traditional library services to research data. Yet there remains the potential for transformational impacts, when combined with the demands implied by other new services such as around text and data mining, bibliometrics and artificial intelligence. A revised maturity model is presented that summarises typical stages of development of services, structures and skills. Research limitations/implications The research models show how RDS are developing. It also reflects on the extent to which RDM represents a transformation of the role of academic libraries. Practical implications Practitioners working in the RDM arena can benchmark their current practices and future plans against wider patterns. Originality/value The study offers a clear picture of the evolution of research data services internationally and proposes a maturity model to capture typical stages of development. It contributes to the wider discussion of how the nature of academic libraries are changing.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Health Information & Libraries Journal
                Health Info Libraries J
                Wiley
                1471-1834
                1471-1842
                June 2022
                September 16 2021
                June 2022
                : 39
                : 2
                : 132-141
                Affiliations
                [1 ] Medical University of Gdansk Main Library Gdansk Poland
                [2 ] Faculty of Biology University of Gdansk Gdansk Poland
                Article
                10.1111/hir.12403
                34532974
                fbcccd82-434e-42c1-89a2-9b1381c31d32
                © 2022

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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