From Journal of Librarianship and Information Science and IFLA Journal
Data literacy for researchers and data librarians:
This paper aims to paint a picture of the importance of data, to give insight into the related behavior of the research community and to reveal both the motivation to engage in research data management (RDM) and the barriers to open data.
Quality evaluation of data management plans at a research university:
With the emergence of the National Science Foundation requirement for data management plans, academic librarians have increasingly aided researchers in developing these plans and disseminating research data.
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Data literacy for researchers and data librarians
Journal of Librarianship and Information Science
First Published March 1, 2017
This paper describes data literacy and emphasizes its importance. Data literacy is vital for researchers who need to become data literate science workers and also for (potential) data management professionals. Its important characteristic is a close connection and similarity to information literacy. To support this argument, a review of literature was undertaken on the importance of data, and the data-intensive paradigm of scientific research, researchers’ expected and real behaviour, the nature of research data management, the possible roles of the academic library, data quality and data citation, Besides describing the nature of data literacy and enumerating the related skills, the application of phenomenographic approaches to data literacy and its relationship to the digital humanities have been identified as subjects for further investigation.
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Quality evaluation of data management plans at a research university
James E. Van Loon, Katherine G. Akers, Cole Hudson, Alexandra Sarkozy
IFLA Journal first Published March 1, 2017
With the emergence of the National Science Foundation requirement for data management plans, academic librarians have increasingly aided researchers in developing these plans and disseminating research data. To determine the overall quality of data management plans at Wayne State University, the Library System’s Research Data Services team evaluated the content of 119 plans from National Science Foundation grant proposals submitted between 2012 and 2014. The results of our content analysis indicate that, while most researchers understand the need to share data, many data management plans fail to adequately describe the data generated by the project, how data will be managed during the project, or how data will be preserved and shared after the completion of the project. Our results also show that data management plan deficiencies vary across academic units, suggesting the need for differentiated outreach services to improve the strength of data management plans in future National Science Foundation grant proposals.