Tähän dokumenttiin kootaan Tutkijan datapalvelujen markkinointi -työryhmän työstämiä ja käyttämiä ladattuja dokumentteja sekä lukusuositusten linkkejä ja viitetietoja.
Lukuvinkki
| Lukuvinkki | Kommentteja |
|---|---|
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 |
| Citation | Context | Tips |
|---|---|---|
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) |
Erway, Ricky, Laurence Horton, Amy Nurnberger, Reid Otsuji, and Amy Rushing. 2015. Building Blocks: | Global point of view, library context | Method tips: needs assessment, raising awareness A practical guide for institutions (academic libraries) only starting to provide RDS, but includes useful points even for established data services. Examples of needs assessment and tips on "awareness, promotion and outreach" (p. 10 & 20) |
| Soyka H, Budden A, Hutchison V, Bloom D, Duckles J, Hodge A, Mayernik MS, Poisot T, Rauch S, Steinhart G, Wasser L, Whitmire AL, Wright S. Using Peer Review to Support Development of Community Resources for Research Data Management. Journal of eScience Librarianship 2017;6(2): e1114. https://doi.org/10.7191/jeslib.2017.1114. | Global point of view although centered around a project in the USA, training and community engagement | Method tips: peer-review of training materials, collaborative material development using GitHub Project outcome: Data Management Skillbuilding Hub https://dataoneorg.github.io/Education "In order to ensure that educational resources designed to teach skills and best practices for scientific research data sharing and management are useful, the maintainers of those materials need to periodically evaluate and update them to ensure their accuracy, currency, and overall quality. This paper has described the process of integrating outside peer review of community resources as part of a comprehensive evaluation for addressing these concerns. It further outlines the motivations, concerns, and actions of moving the updated educational materials to an online community platform (GitHub) in order to build upon mechanisms for open science, ongoing iteration, participation, attribution, and transparent community engagement." |
| Whyte A, Tedds J (2011). Making the Case for Research Data Management. A Digital Curation Centre Briefing Paper. 1st September 2011. https://www.dcc.ac.uk/sites/default/files/documents/publications/Making%20the%20case.pdf | Older (2011), main focus on the UK | Method tips: raising awareness... (kesken) |
Fearon, David Jr., Betsy Gunia, Sherry Lake, Barbara E. Pralle, and Andrew L. Sallans. Research Data Management Services. SPEC Kit 334. Washington, DC: Association of Research Libraries, July 2013. https://doi.org/10.29242/spec.334 https://publications.arl.org/Research-Data-Management-Services-SPEC-Kit-334/1 | Older (2013), USA focus, library context | Definition: Research Data Management Service "Research Data Management Services support the management and curation of research data throughout its life cycle. RDM includes services such as: data management plan consulting, data documentation/metadata, data organization, data security and backup, data citation, funder requirements, ethical and legal issues, preserving digital data, sharing data and archiving data." Survey results: best practices in marketing "Finally, the third biggest challenge reported is faculty (non)engagement due to a lack of awareness of services that the library provides, low perceived value of services, and resistance to data sharing. Respondents stated that the most effective marketing techniques were through workshops and presentation to researchers, referrals from research project (grants) administration, and direct emails to researchers (Q50)." See more in survey results on p. 78, more marketing tips on pp. 86-87. Impact assessment tips p. 79-80 Includes practical examples of data management service websites, DMP tools, data retention policies, data needs assessment instruments, and outreach materials from the participating institutions. Unfortunately materials from 2013 can be rather outdated, but can still provide some tips. |