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European Journal of Higher Education IT 2020-1, The Processes Behind Research Data Management, Ville Tenhunen1, James A.J. Wilson2 | |
Threat of policy alienation: Exploring the implementation of Open Science policy in research practice Science and Public Policy, scaa044, https://doi.org/10.1093/scipol/scaa044 Published: 08 December 2020 | |
The 6 Pillars of Engaging Researchers in Research Data Management (RDM) on julkaistu: https://libereurope.eu/wp-content/uploads/2020/12/The-6-Pillars-of-Engaging-Researchers-in-Research-Data-Management-RDM.pdf |
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Yu, H.H. (2017), "The role of academic libraries in research data service (RDS) provision: Opportunities and challenges", The Electronic Library, Vol. 35 No. 4, pp. 783-797. https://doi.org/10.1108/EL-10-2016-0233 | Includes literature review, focus on the USA, library context | Definition: Research Data Service “The two types of RDS provision defined in the literature are informational RDS and technical RDS. The former covers a wide range of services, such as consulting on data management plans (DMP) and reference support. The latter entails providing repository access and discovery systems, preparing data or datasets to be deposited into a repository and creating or transforming metadata.” |
Soehner, C., Steeves, C. and Ward, J. (2010), E-science and Data Support Services: A Study of ARL Member Institutions, Association of Research Libraries, Washington, DC. https://www.arl.org/resources/e-science-and-data-support-services/ | Older (2010), focus on the USA | Method tip: needs assessment More than a third of the respondents (16 of 42) reported conducting needs assessments relating to data services and more were planning assessment activities. These often proved to be sources of substantial information on variations in needs as well as gaps in existing e-science support services. Examples of surveys: http://digital.library.wisc.edu/1793/34859 https://research-it.ucsd.edu/otherresources/UCSD-Blueprint-for-the-Digital-University.pdf (p. 74-91 Questionnaire + results) |
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