The Open Science Trails project produces the necessary methods, tools and services to promote the realisation of FAIR in practice. As part of the Open Science Trails project, we are carrying out a national pilot to promote the introduction of machine-actionable data management plans (maDMPs). maDMPs promote the further use and interoperability of data needed by researchers, research organisations and research funders.
The series of OSTrails FI pilot webinars 2024 - 2025 will focus on the development on national reference data model for machine actionable data management plans (maDMPs).
Next workshop will be held online on the 16th of December 13:00-16:00, you are welcome to join and participate to the maDMP data model development!
Date: 2024-12-16
Time: 1pm - 4pm EET
Mode: Webinar
Target: Codefine national data model for maDMPs
Participation: Registration via CSC Events or https://link.webropolsurveys.com/S/E0C1C3D7AF4E8CE2
Invitation will be sent also via OSTrails FI pilot e-mail list
You can subscribe to the mailing list here https://link.webropolsurveys.com/S/5543613310E9E6A2
Provisional program
13:00 - 13:30 Opening and recent development in OSTrails Commons methodology
13:30 - 13:50 Reference data model for maDMPs and introduction to group work
13:50 - 14:00 Refreshment break
14:00 - 15:30 Small groups on reference data model
15:30 - 15:50 Group work wrap-up and discussion
15:50 - 16:00 OSTrails next steps
Group work online work area will be opened prior the workshop
Defining the content of national maDMP reference data model
Prior reading
Slides from RDA Session on Active Data Management Plans: What are the actions that we need to realize them? Active DMPs IG and DMP Common Standards WG. https://www.rd-alliance.org/wp-content/uploads/2024/11/2024.11-RDA-CostaRica-DMPs.pdf
Marttila, J., Manninen, S., Ahokas, M., Hindersson-Söderholm, T., Keckman-Koivuniemi. H. (2022). Dynaamiset DMP:t -työryhmän loppuraportti. https://zenodo.org/records/6601258
Marttila, J. & Manninen, S. (2022). Dynaamiset DMP:t -työryhmän toivekartoitus. https://zenodo.org/records/6594597
Reichmann, S., Rey Mazón, M., Hasani-Mavriqi, I., Thaci, L., & Eckhard, D. (2024). D1.1: Plan-Track-Assess Pathways. Zenodo.
https://doi.org/10.5281/zenodo.13145788
Philipson, J, Hasan, A and Moa, H. 2023. Making Data Management Plans Machine Actionable: Templates and Tools. Data Science Journal, 22:29, pp. 1–13.
https://doi.org/10.5334/dsj-2023-029.