Skip to main content
SpringerLink
Log in

Institutional Support for Data Management Plans: Five Case Studies

  • Conference paper
  • First Online:
Metadata and Semantic Research (MTSR 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1355))

Included in the following conference series:

  • 1285 Accesses

Abstract

Researchers are being prompted by funders and institutions to expose the variety of results of their projects and to submit a Data Management Plan as part of their funding requests. In this context, institutions are looking for solutions to provide support to research data management activities in general, including DMP creation. We propose a collaborative approach where a researcher and a data steward create a DMP, involving other parties as required. We describe this collaborative method and its implementation, by means of a set of case studies that show the importance of the data steward in the institution. Feedback from researchers shows that the DMP are simple enough to lead people to engage in data management, but present enough challenges to constitute an entry point to the next level, the machine-actionable DMP.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://guides.lib.unc.edu/researchdatatoolkit/home.

  2. 2.

    https://tinyurl.com/y7tbv3b4.

  3. 3.

    https://eresearch.uts.edu.au/.

  4. 4.

    https://dmponline.dcc.ac.uk/.

  5. 5.

    https://github.com/feup-infolab/labtablet.

  6. 6.

    https://github.com/feup-infolab/dendro.

  7. 7.

    https://rdm.inesctec.pt/.

  8. 8.

    https://www.arm.gov/research/campaigns/ena2015grm.

  9. 9.

    https://dmponline.dcc.ac.uk/plans/29718/export.pdf.

  10. 10.

    https://cibio.up.pt/projects-1/page/552.

  11. 11.

    https://www.gfbio.org/plan.

  12. 12.

    https://dmponline.dcc.ac.uk/plans/47150/export.pdf.

  13. 13.

    https://www.inesctec.pt/en/projects/screlprog.

  14. 14.

    https://dmponline.dcc.ac.uk/plans/36851/export.pdf.

  15. 15.

    https://drive.inesctec.pt/.

  16. 16.

    https://tinyurl.com/ydgy6lng.

  17. 17.

    https://zenodo.org/communities/sail/.

  18. 18.

    https://forms.gle/zZMVVbRp9z77XXBA8.

  19. 19.

    https://www.rd-alliance.org/groups/dmp-common-standards-wg.

  20. 20.

    https://github.com/RDA-DMP-Common/hackathon-2020.

  21. 21.

    https://tinyurl.com/y6evw2ed.

  22. 22.

    https://www.scienceeurope.org/.

References

  1. Ahokas, M., Kuusniemi, M.E., Friman, J.: The Tuuli project: accelerating data management planning in Finnish research organisations. Int. J. Digit. Curation 12(2), 107–115 (2017). https://doi.org/10.2218/ijdc.v12i2.512

    Article  Google Scholar 

  2. Clare, C., et al.: The Cookbook, Engaging Researchers with Data Management (2019). https://doi.org/10.11647/OBP.0185

  3. European Commission: Annex L. Conditions related to open access to research data (2017)

    Google Scholar 

  4. Cox, A., Verbaan, E.: Data management planning. In: Exploring Research Data Management (2018). https://doi.org/10.29085/9781783302802.013

  5. Dressler, V.A., Yeager, K., Richardson, E.: Developing a data management consultation service for faculty researchers: a case study from a large Midwestern public university. Int. J. Digit. Curation 14(1) (2019). https://doi.org/10.2218/ijdc.v14i1.590

  6. Fearon, D., Gunia, B., Lake, S., Pralle, B.E., Sallans., A.L.: SPEC kit 334: research data management services (2013). https://doi.org/10.29242/spec.334

  7. Graham., P.: Managing research data (2012)

    Google Scholar 

  8. Managing Data@ Melbourne Working Group: Managing data@ Melbourne: an online research data management training program (2017). https://minerva-access.unimelb.edu.au/handle/11343/225138

  9. Hodson, S., Mons, B., Uhlir, P., Zhang, L.: The Beijing Declaration on Research Data. CODATA, Committee on Data of the International Science Council (2019). https://doi.org/10.5281/zenodo.3552330

  10. Karimova, Y., Castro, J.A., Ribeiro, C.: Data deposit in a CKAN repository: a Dublin core-based simplified workflow. In: Manghi, P., Candela, L., Silvello, G. (eds.) IRCDL 2019. CCIS, vol. 988, pp. 222–235. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-11226-4_18

    Chapter  Google Scholar 

  11. Karimova, Y., Ribeiro, C.: The collaborative method between curators and researchers in the preparation of a Data Management Plan and Privacy Impact Assessment. 5 Forum Gestão de Dados de Investigação, Aveiro (2019). https://forumgdi.rcaap.pt/wp-content/uploads/2019/12/09_5ForumGDI__Yulia_Karimova.pdf

  12. Karimova, Y., Castro, J.A., da Silva, J.R., Pereira, N., Ribeiro, C.: Promoting semantic annotation of research data by their creators: a use case with B2NOTE at the end of the RDM workflow. In: Garoufallou, E., Virkus, S., Siatri, R., Koutsomiha, D. (eds.) MTSR 2017. CCIS, vol. 755, pp. 112–122. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-70863-8_11

    Chapter  Google Scholar 

  13. Ray, J.M.: Research data management: Practical strategies for information professionals (2013). https://doi.org/10.2307/j.ctt6wq34t

  14. Cadman, M.J.: GBIF-ICLEI best practice guide for publishing biodiversity data by local governments. Global Biodiversity Information Facility, Copenhagen (2012). http://links.gbif.org/gbif_best_practice_guide_data_publishing_by_local_governments_en_v1

  15. Anne, K.M.: Managing research data. Research methods (2018). https://doi.org/10.1016/b978-0-08-102220-7.00021-2

  16. Molloy, L.: JISC research data MANTRA project at EDINA, Information Services, University of Edinburgh: Evaluation. Information Processing and Management (2012). https://eprints.gla.ac.uk/71435/

  17. Pasquetto, I.V., Randles, B.M., Borgman, C.L.: On the reuse of scientific data. Data Sci. J. 16(8) (2017). https://doi.org/10.5334/dsj-2017-008

  18. RDA: RDA for the Sustainable Development Goals. Introduction: Fit with the overall RDA vision and mission (2019). https://www.rd-alliance.org/groups/rda-sustainable-development-goals

  19. Ribeiro, C., da Silva, J.R., Castro, J.A., Amorim, R.C., Lopes, J.C.: Research data management tools and workflows: experimental work at the University of Porto. IASSIST Q. 42(2), 1–16 (2018)

    Article  Google Scholar 

  20. Sayogo, D.S., Pardo, T.A.: Exploring the determinants of scientific data sharing: understanding the motivation to publish research data. Gov. Inf. Q. 30, 19–31 (2013). https://doi.org/10.1016/j.giq.2012.06.011

    Article  Google Scholar 

  21. Schöpfel, J., Ferrant, C., André, F., Fabre, R.: Research data management in the French national research center (CNRS). Data Technol. Appl. (2018). https://doi.org/10.1108/DTA-01-2017-0005

    Article  Google Scholar 

  22. Simms, S., Jones, S.: Next-generation data management plans: global, machine-actionable, FAIR. Int. J. Digit. Curation 12(1) (2017). https://doi.org/10.2218/ijdc.v12i1.513

  23. Tenopir, C., et al.: Research data services in European academic research libraries. Liber Q. 27(1) (2017). https://doi.org/10.18352/lq.10180

  24. Tomáš, H., Janoušková, S., Moldan, B.: Sustainable development goals: a need for relevant indicators. Ecol. Indicators 60 (2016). https://doi.org/10.1016/j.ecolind.2015.08.003

  25. Vitale, C.H., Sandy, H.L.M.: Data management plans: a review. DESIDOC J. Libr. Inf. Technol. 39(6) (2019). https://doi.org/10.14429/djlit.39.06.15086

  26. Wilkinson, M.D., et al.: The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data 3 (2016). https://doi.org/10.1038/sdata.2016.18

  27. Wittenberg, J., Elings, M.: Building a research data management service at the University of California, Berkeley: a tale of collaboration. IFLA J. 43(1) (2017). https://doi.org/10.1177/0340035216686982

Download references

Author information

Authors and Affiliations

  1. INESC TEC, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Yulia Karimova, Cristina Ribeiro & Gabriel David

Authors
  1. Yulia Karimova
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Cristina Ribeiro
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Gabriel David
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yulia Karimova .

Editor information

Editors and Affiliations

  1. International Hellenic University, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Complutense University of Madrid, Madrid, Spain

    María-Antonia Ovalle-Perandones

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Karimova, Y., Ribeiro, C., David, G. (2021). Institutional Support for Data Management Plans: Five Case Studies. In: Garoufallou, E., Ovalle-Perandones, MA. (eds) Metadata and Semantic Research. MTSR 2020. Communications in Computer and Information Science, vol 1355. Springer, Cham. https://doi.org/10.1007/978-3-030-71903-6_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-71903-6_29

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-71902-9

  • Online ISBN: 978-3-030-71903-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation