Aalto, S., Ahokas, M., Friman, J., Fuchs, S., Korhonen, T., Kuusniemi, M. E., Laakso, K., Lennes, M., Manninen, S., Ojanen, M., Rantasaari, J., Virtanen, M. E., & Xu, Q. (2021). Finnish DMP evaluation guidance. [Working paper]. Zenodo.

Academy of Finland. (2019). The Academy of Finland’s funding terms and conditions 2019–2020 (Vol. 1, Issue September 2019).

Adamick, J., Reznik-Zellen, R. C., & Sheridan, M. (2013). Data management training for graduate students at a large research university. Journal of eScience Librarianship, 1(3), 180–188.

Akers, K. G., & Doty, J. (2013). Disciplinary differences in faculty research data management practices and perspectives. International Journal of Digital Curation, 8(2), 5–26.

Amsterdam call for action on open science. (2016, April 5). In Wikipedia.

Borghi, J., Abrams, S., Lowenberg, D., Simms, S., & Chodacki, J. (2018). Support your data: A research data management guide for researchers. Research Ideas and Outcomes 4, Article e26439.

Borycz, J., & Carroll, A. J. (2021). COVID-19 as an opportunity to expand the instructional portfolio of STEM librarians. Issues in Science and Technology Librarianship, 98.

Briney, K. (2015). Data management for researchers: Organize, maintain and share your data for research success (1st ed.). Pelagic Publishing.

Bryant, A., & Charmaz, K. (2016). The SAGE Handbook of grounded theory. SAGE Publications Ltd.

Byatt, D., Scott, M., Beale, G., Cox, S. J., & White, W. (2013). Developing researcher skills in research data management: Training for the future - a DataPool project report. University of Southampton.

Carpentries. (n.d.). Data carpentry: Building communities teaching universal data literacy.

Cassidy, A. (2012). Vermin, victims and disease: UK framings of badgers in and beyond the bovine TB controversy. Journal of the European Society for Rural Sociology, 52(2), 192–214.

Castle, C. (2019). Getting the central RDM message across: A case study of central versus discipline-specific research data services (RDS) at the University of Cambridge. Libri, 69(2), 105–116.

Cerny, M. (2021). Digital Competences of students of library studies: Comparison of research results for 2018-2020. Education Sciences, 11(11), 1–13.

Chew, A. W., Oo, C. Z., Wong, A. L., & Gladding, J. (2021). An initial evaluation of research data management online training at the University of New South Wales. IFLA Journal, OnlineFirst.

Chiarelli, A., Loffreda, L., & Johnson, R. (2021). The art of publishing reproducible research outputs: Supporting emerging practices through cultural and technological innovation. [Report]. Zenodo.

Clement, R., Blau, A., Abbaspour, P., & Gandour-Rood, E. (2017). Team-based data management instruction at small liberal arts colleges. IFLA Journal, 43(1), 105–118.

Cole, G., & Evans, J. (2014). University of Exeter research data management and open access training for staff. ALISS Quarterly, 10(1), 22–25.

Consortium of European Social Science Data Archives. (2017). CESSDA training: Data management expert guide.

Corti, L., & Van den Eynden, V. (2015). Learning to manage and share data: Jump-starting the research methods curriculum. International Journal of Social Research Methodology, 18(5), 545–559.

Cox, A. M., & Pinfield, S. (2014). Research data management and libraries: Current activities and future priorities. Journal of Librarianship and Information Science, 46(4), 299–316.

Doucette, L., & Fyfe, B. (2013). Drowning in research data: Addressing data management literacy of graduate students. Imagine, Innovate, Inspire: The Proceedings of the ACRL 2013 Conference, 165–171.

European Commission. (2018a). OSPP-REC: Open science policy platform recommendations. OSPP-REC.

European Commission. (2018b). Commission recommendation (EU) 2018/790 of 25 April 2018 on access to and preservation of scientific information. Official journal of the European Union L, 134, 12–18.

European University Association. (2017). Towards full open access in 2020: Aims and recommendations for university leaders and national rectors’ conferences.

Federer, L. (2016). Research data management in the age of big data: Roles and opportunities for librarians. Information Services & Use, 36(1-2), 35–43.

Goben, A., & Griffin, T. (2019). In aggregate: Trends, needs, and opportunities from research data management surveys. College and Research Libraries, 80(7), 903–924.

Griffin, T. M. (2020). Centering graduate students’ research projects in data management education: A pilot program. Journal of Librarianship and Scholarly Communication 8(1), Article eP2365.

Johnston, L., & Jeffryes, J. (2015). Civil engineering/graduate students. Data Information Literacy Case Study Directory 3(1), Article 1.

Joo, S., & Peters, C. (2020). User needs assessment for research data services in a research university. Journal of Librarianship and Information Science, 52(3), 633–646.

Kafel, D., Creamer, A.T, & Martin, E.R. (2014). Building the New England Collaborative Data Management Curriculum. Journal of EScience Librarianship, 3(1), 60–66.

Kowalczyk, S. T. (2017). Modelling the research data lifecycle. International Journal of Digital Curation, 12(2), 331–361.

Krahe, M. A., Toohey, J., Wolski, M., Scuffham, P. A., & Reilly, S. (2020). Research data management in practice: Results from a cross-sectional survey of health and medical researchers from an academic institution in Australia. Health Information Management Journal, 49(2–3), 108–116.

Latham, B. (2017). Research data management: Defining roles, prioritizing services, and enumerating challenges. The Journal of Academic Librarianship, 43(3), 263–265.

Lefebvre, A., Schermerhorn, E., & Spruit, M. (2018). How research data management can contribute to efficient and reliable science. ECIS 2018 Proceedings, 1–15.

Maienschein, J., Parker, J. N., Laubichler, M., & Hackett, E. J. (2019). Data management and data sharing in science and technology studies. Science Technology and Human Values, 44(1), 143–160.

Mithun, S., & Luo, X. (2020). Design and evaluate the factors for flipped classrooms for data management courses. 2020 IEEE Frontiers in Education Conference (FIE) 2020, 1–8.

Muilenburg, J., Lebow, M., & Rich, J. (2014). Lessons learned from a research data management pilot course at an academic library. Journal of eScience Librarianship, 3(1), 67–73.

Mustajoki, H. (n.d.). Finnish open science online resource. Finnish Open Science Online Resource. Ministry of Education and Culture, Finland.

National Science Foundation. (2011). Grant proposal guide (NSF 11-1).

Oliver, J. C. (2017). Bioinformatic training needs at a health sciences campus. PLoS One, 12(6), Article e0179581.

Oo, C. Z., Chew, A. W., Wong, A. L. H., Gladding, J., & Stenstrom, C. (2021). Delineating the successful features of research data management training: A systematic review. International Journal for Academic Development.

Pascuzzi, P. E., & Sapp Nelson, M. R. (2018). Integrating data science tools into a graduate level data management course. Journal of eScience Librarianship, 7(3), Article e1152.

Pasek, J. E., & Mayer, J. (2019). Education needs in research data management for science-based disciplines: Self-assessment surveys of graduate students and faculty at two public universities. Issues in Science and Technology Librarianship, 92.

Perrier, L., Blondal, E., Ayala, A. P., Dearborn, D., Kenny, T., Lightfoot, D., Reka, R., Thuna, M., Trimble, L., & MacDonald, H. (2017). Research data management in academic institutions: A scoping review. PLoS One, 12(5), Article e0178261.

Perrier, L., Blondal, E., & MacDonald, H. (2020). The views, perspectives, and experiences of academic researchers with data sharing and reuse: A meta-synthesis. PLoS One, 15(2), Article e0229182.

Peters, C., & Vaughn, P. (2014). Initiating data management instruction to graduate students at the University of Houston Using the New England Collaborative Data Management Curriculum. Journal of eScience Librarianship, 3(1), 86–89.

Petters, J. L., Brooks, G. C., Smith, J. A., & Haas, C. A. (2019). The impact of targeted data management training for field research projects - A case study. Data Science Journal, 18(1), Article 43.

Piorun, M. E., Kafel, D., Leger-Hornby, T., Najafi, S., Martin, E.R., Colombo, P., & LaPelle, N. R. (2012). Teaching research data management: an undergraduate/graduate curriculum. Journal of eScience Librarianship, 1(1), 46–50.

Qin, J., & D’ignazio, J. (2010). The central role of metadata in a science data literacy course. Journal of Library Metadata, 10(2–3), 188–204.

Rantasaari, J. (2021). Doctoral students’ educational needs in research data management: Perceived importance and current competencies. International Journal of Digital Curation, 16(1), 1–36.

Rantasaari, J., & Kokkinen, H. (2019, June 23-27). Closing the skills gap: The basics of the research data management (BRDM) course: Case University of Turku. [Conference presentation]. The fortieth IATUL conference, Perth, Australia.

Rantasaari, J., Löyttyniemi, E., Cooper, H., Fredriksson, M., Henriksson, B., Huttunen, S., … Wilson, L. (2021). Basics of the Research Data Management (BRDM) Course: Course Structure and Learning Objectives 2019-22 [Presentation]. Zenodo.

Read, K. B. (2019). Adapting data management education to support clinical research projects in an academic medical center. Journal of the Medical Library Association, 107(1), 89–97.

Read, K. B., Larson, C., Gillespie, C., Oh, S. Y., & Surkis, A. (2019). A two-tiered curriculum to improve data management practices for researchers. PLoS One, 14(5), Article e0215509.

Research data service. (n.d.). MANTRA: Research data management training. University of Edinburgh.

Revez, J. (2018). Opening the heart of science: A review of the changing roles of research libraries. Publications, 6(1), 1–13.

Rieser, A. (2018, August 21). How to handle big data, before it handles you. Industry Week.

Schmidt, L., & Holles, J. (2018). A graduate class in research data management. Chemical Engineering Education, 52(1), 52–59.

Scholtens, S., Anbeek, P., Böhmer, J., Brullemans-Spansier, M., van der Geest, M., Jetten, M., Staiger, C., Slouwerhof, I., & van Gelder, C. W. G. van. (2019). Life sciences data steward function matrix. [Project deliverable]. Zenodo.

Schöpfel, J., & Prost, H. (2016). Research data management in social sciences and humanities: A survey at the University of Lille (France) - LIBREAS. Library Ideas. Libreas: Library Ideas, 29, 98–112.

Shadbolt, A., Konstantelos, L., Lyon, L., & Guy, M. (2014). Delivering innovative RDM training: The immersive informatics pilot programme. International Journal of Digital Curation, 9(1), 313–323.

Research data: Unseen opportunities. CARL ABRC.

Southall, J., & Scutt, C. (2017). Training for research data management at the Bodleian Libraries: National contexts and local implementation for researchers and librarians. New Review of Academic Librarianship, 23(2–3), 303–322.

Surkis, A., LaPolla, F. W. Z., Contaxis, N., & Read, K. B. (2017). Data day to day: Building a community of expertise to address data skills gaps in an academic medical center. Journal of the Medical Library Association, 105(2), 185–191.

Thielen, J., Samuel, S. M., Carlson, J., & Moldwin, M. (2017). Developing and teaching a two-credit data management course for graduate students in climate and space sciences. Issues in Science and Technology Librarianship, 86.

Thielen, J., & Hess, A. N. (2017). Advancing research data management in the social sciences: Implementing instruction for education graduate students into a doctoral curriculum. Behavioral and Social Sciences Librarian, 36(1), 1–15.

Timonen, V., Foley, G., & Conlon, C. (2018). Challenges when using grounded theory: A pragmatic introduction to doing GT research. International Journal of Qualitative, 17(1), 1–10.

UNIFI. (2016). Open science and data: Action programme for the Finnish scholarly community.

Verbaan, E., & Cox, A. M. (2014). Occupational sub-cultures, jurisdictional struggle and third space: Theorising professional service responses to research data management. Journal of Academic Librarianship, 40(3–4), 211–219.

Wang, M., & Fong, B. L. (2015). Embedded data librarianship: A case study of providing data management support for a science department. Science & Technology Libraries, 34(3), 228–240.

Wellcome. (2017, July 10). Data, software and materials management and sharing policy.

Weller, T., & Monroe-Gulick, A. (2014). Understanding methodological and disciplinary differences in the data practices of academic researchers. Library Hi Tech, 32(3), 467–482.

Whitmire, A. L. (2015). Implementing a graduate-level research data management course: Approach, outcomes, and lessons learned. Journal of Librarianship and Scholarly Communication, 3(2), 1–22.

Wiley, C. A., & Kerby, E. E. (2018). Managing research data: Graduate student and postdoctoral researcher perspectives. Issues in Science and Technology Librarianship, 89.

Wiley, C. A., Mischo, W. H., Schlembach, M. C., & Imker, H. J. (2017, June 24–28). An integrated data management instructional program. ASEE Annual Conference and Exposition, Columbus, USA

Wiljes, C., & Cimiano, P. (2019). Teaching research data management for students. Data Science Journal, 18(1), 1–9.

Wittenberg, J., & Elings, M. (2017). Building a research data management service at the university of California, Berkeley: A tale of collaboration. IFLA Journal, 43(1), 89–97.

Wright, S. J., & Andrews, C. (2015). Developing a for-credit course to teach data information literacy skills: A case study in natural resources. In J. Carlson & L. R. Johnston (Eds.), Data Information Literacy: Librarians, Data, and the Education of a New Generation of Researchers (pp. 73–99). Purdue University Press.

Yu, H. H. (2017). The role of academic libraries in research data service (RDS) provision: Opportunities and challenges. The Electronic Library, 35(4), 783–797.