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. https://doi.org/10.5281/zenodo.4729831

Academy of Finland. (2019). The Academy of Finland’s funding terms and conditions 2019–2020 (Vol. 1, Issue September 2019). https://www.aka.fi/globalassets/10rahoitus/liiteet/rahoitusehdot_2019-2020_en.pdf

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. https://doi.org/10.7191/jeslib.2012.1022

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. https://doi.org/10.2218/ijdc.v8i2.263

Amsterdam call for action on open science. (2016, April 5). In Wikipedia. https://en.wikipedia.org/wiki/Amsterdam_Call_for_Action_on_Open_Science

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. https://doi.org/10.3897/rio.4.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. https://doi.org/10.29173/ISTL2609

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. https://doi.org/10.4135/9781848607941

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. https://eprints.soton.ac.uk/351026/1/REPORT-Supporting_Researchers-RDM-Training-Final.docx

Carpentries. (n.d.). Data carpentry: Building communities teaching universal data literacy. https://datacarpentry.org/

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. https://doi.org/10.1111/J.1467-9523.2012.00562.X

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. https://doi.org/10.1515/libri-2018-0064

Cerny, M. (2021). Digital Competences of students of library studies: Comparison of research results for 2018-2020. Education Sciences, 11(11), 1–13. https://doi.org/10.3390/educsci11110729

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. https://doi.org/10.1177/03400352211054120

Chiarelli, A., Loffreda, L., & Johnson, R. (2021). The art of publishing reproducible research outputs: Supporting emerging practices through cultural and technological innovation. [Report]. Zenodo. https://doi.org/10.5281/ZENODO.5521077

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. https://doi.org/10.1177/0340035216678239

Cole, G., & Evans, J. (2014). University of Exeter research data management and open access training for staff. ALISS Quarterly, 10(1), 22–25. https://alissnet.files.wordpress.com/2012/11/vol-10-no-1-oct-2014.pdf

Consortium of European Social Science Data Archives. (2017). CESSDA training: Data management expert guide. https://www.cessda.eu/DMGuide

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. https://doi.org/10.1080/13645579.2015.1062627

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. https://doi.org/10.1177/0961000613492542

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. https://www.ala.org/acrl/sites/ala.org.acrl/files/content/conferences/confsandpreconfs/2013/papers/DoucetteFyfe_Drowning.pdf

European Commission. (2018a). OSPP-REC: Open science policy platform recommendations. OSPP-REC. https://doi.org/10.2777/958647

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. http://data.europa.eu/eli/reco/2018/790/oj

European University Association. (2017). Towards full open access in 2020: Aims and recommendations for university leaders and national rectors’ conferences. http://www.eua.be/Libraries/publications-homepage-list/towards-full-open-access-in-2020-aims-and-recommendations-for-university-leaders-and-national-rectors-conferences?platform=hootsuite

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. https://doi.org/10.3233/ISU-160797

Goben, A., & Griffin, T. (2019). In aggregate: Trends, needs, and opportunities from research data management surveys. College and Research Libraries, 80(7), 903–924. https://doi.org/10.5860/crl.80.7.903

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. https://doi.org/10.7710/2162-3309.2365

Johnston, L., & Jeffryes, J. (2015). Civil engineering/graduate students. Data Information Literacy Case Study Directory 3(1), Article 1. https://doi.org/10.5703/1288284315479

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. https://doi.org/10.1177/0961000619856073

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. https://doi.org/10.7191/jeslib.2014.1066

Kowalczyk, S. T. (2017). Modelling the research data lifecycle. International Journal of Digital Curation, 12(2), 331–361. https://doi.org/10.2218/ijdc.v12i2.429

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. https://doi.org/10.1177/1833358319831318

Latham, B. (2017). Research data management: Defining roles, prioritizing services, and enumerating challenges. The Journal of Academic Librarianship, 43(3), 263–265. https://doi.org/10.1016/j.acalib.2017.04.004

Lefebvre, A., Schermerhorn, E., & Spruit, M. (2018). How research data management can contribute to efficient and reliable science. ECIS 2018 Proceedings, 1–15. https://aisel.aisnet.org/ecis2018_rp/35

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. https://doi.org/10.1177/0162243918798906

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. https://doi.org/10.1109/FIE44824.2020.9274201

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. https://doi.org/10.7191/jeslib.2014.1058

Mustajoki, H. (n.d.). Finnish open science online resource. Finnish Open Science Online Resource. Ministry of Education and Culture, Finland. https://findocnet.fi/course/view.php?id=136

National Science Foundation. (2011). Grant proposal guide (NSF 11-1). https://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/gpg_2.jsp

Oliver, J. C. (2017). Bioinformatic training needs at a health sciences campus. PLoS One, 12(6), Article e0179581. https://doi.org/10.1371/journal.pone.0179581

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. https://doi.org/10.1080/1360144X.2021.1898399

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. https://doi.org/10.7191/jeslib.2018.1152

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. https://doi.org/10.29173/istl12

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. https://doi.org/10.1371/journal.pone.0178261

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. https://doi.org/10.1371/journal.pone.0229182

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. https://doi.org/10.7191/jeslib.2014.1064

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. https://doi.org/10.5334/dsj-2019-043

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. https://doi.org/10.7191/jeslib.2012.1003

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. https://doi.org/10.1080/19386389.2010.506379

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. https://doi.org/10.2218/IJDC.V16I1.684

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. https://docs.lib.purdue.edu/iatul/2019/fair/5/

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. https://doi.org/10.5281/zenodo.3692224

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. https://doi.org/10.5195/jmla.2019.580

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. https://doi.org/10.1371/journal.pone.0215509

Research data service. (n.d.). MANTRA: Research data management training. University of Edinburgh. https://mantra.ed.ac.uk/

Revez, J. (2018). Opening the heart of science: A review of the changing roles of research libraries. Publications, 6(1), 1–13. https://doi.org/10.3390/publications6010009

Rieser, A. (2018, August 21). How to handle big data, before it handles you. Industry Week. https://www.industryweek.com/technology-and-iiot/how-handle-big-data-it-handles-you

Schmidt, L., & Holles, J. (2018). A graduate class in research data management. Chemical Engineering Education, 52(1), 52–59. https://journals.flvc.org/cee/article/view/105451

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. https://doi.org/10.5281/ZENODO.2561723

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. https://libreas.eu/ausgabe29/09schoepfel/

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. https://doi.org/10.2218/ijdc.v9i1.318

Research data: Unseen opportunities. CARL ABRC. https://portagenetwork.ca/wp-content/uploads/2016/04/Data_mgt_toolkit_EN.pdf

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. https://doi.org/10.1080/13614533.2017.1318766

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. https://doi.org/10.5195/jmla.2017.35

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. https://doi.org/10.5062/F42Z13HQ

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. https://doi.org/10.1080/01639269.2017.1387739

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. https://doi.org/10.1177/1609406918758086

UNIFI. (2016). Open science and data: Action programme for the Finnish scholarly community. https://www.unifi.fi/wp-content/uploads/2019/04/UNIFI_Open_Science_and_Data_Action_Programme.pdf

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. https://doi.org/10.1016/j.acalib.2014.02.008

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. https://doi.org/10.1080/0194262X.2015.1085348

Wellcome. (2017, July 10). Data, software and materials management and sharing policy. https://wellcome.ac.uk/funding/guidance/data-software-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. https://doi.org/10.1108/LHT-02-2014-0021

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. https://doi.org/10.7710/2162-3309.1246

Wiley, C. A., & Kerby, E. E. (2018). Managing research data: Graduate student and postdoctoral researcher perspectives. Issues in Science and Technology Librarianship, 89. https://doi.org/10.5062/F4FN14FJ

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 https://doi.org/10.18260/1-2--27572

Wiljes, C., & Cimiano, P. (2019). Teaching research data management for students. Data Science Journal, 18(1), 1–9. https://doi.org/10.5334/dsj-2019-038

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. https://doi.org/10.1177/0340035216686982

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. https://www.jstor.org/stable/j.ctt6wq2vh.9

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. https://doi.org/10.1108/EL-10-2016-0233