IDCC26: Workshop 7 - Evolving data management plans (DMPs)

Workshop description

Initially intended to capture, at the onset of a research project, the planning process for how the research data will be collected, stored, accessed, shared, and preserved, data management plans (DMPs) have been growing in scope and importance. Despite their potential benefits, DMPs are subject to challenges. Often viewed as an annoyance and a document for compliance, once completed, they often languish forgotten and ignored.

DMPs capture important context for the research and how data will be captured, managed, and preserved. However, research is messy; our plans evolve, new technologies emerge, and we need to change and adapt our plans and processes to take account of these. Rather than static documents relevant just at the beginning of the project, DMPs should serve as an active, dynamically updated record of the research project: the how, what, and why of our research. They should apply to varied research outputs, not just narrowly defined research data; and link to the range of other tools that we use in our research.

DMPs have enormous potential for innovation to improve their utility. Consistent with the Data Management Plans for the next generation of research subtheme of IDCC26, this workshop will bring together a diverse group of practitioners from the scientific research ecosystem and tap into their unique perspectives and expertise to collaboratively imagine the possible future enhancements of DMPs for better research results, reuse, and reproducibility.

Objective
The main objective of the workshop is to enable a knowledge exchange and collaborative idea generation around the data management planning (DMP) process and tools in the context of scientific research. We aim to bring together a diverse group of research professionals representing a range of roles, institutions, countries, and scientific disciplines, in order to allow for a rich conversation and mutual learning. The participants will also learn about the workshop organizer, the Physical Sciences Data Infrastructure (PSDI), its mission, services, and opportunities to get involved, and they will be able to network and build community with other participants at the workshop.

Format
Via short presentations and group discussions, the workshop will enable knowledge exchange and collaborative idea generation around the ongoing and future enhancements to the functionality and utility of data management planning (DMP) processes and tools, with the aim to improve scientific research as well as reuse of research outputs and reproducibility of research results across the disciplines.

We welcome participants to contribute a lightning talk highlighting revolutionary or highly effective tools and approaches they have used or developed for data management planning (DMPs) or research data management. This is an opportunity to share practical experiences and inspire others during the session.

Target audience
This workshop is intended for anyone working in scientific research or involved in planning, managing, documenting, curating, and sharing research outputs, including:

• Researchers in all disciplines and at all career stages
• Data stewards, data managers, and other research support professionals
• Data librarians
• Research technicians
• Research software developers
• Repository managers and other data curation professionals
• Research funders and policymakers
• Other research data professionals

Draft agenda

This is a draft agenda for the workshop, timings might changed based on the number of lightning talks submitted.

• 13:00 – 13:15: Introductions ​
• 13:15 – 13:35: Introduction and Background to PSDI​
• 13:35 – 14:25: Focus Group Activity: What do we need DMPsto do?​
• 14:25 – 14:35: Talks: Effective tools and new developments​
• 14:35 – 14:50: Coffee Break​
• 14:50 – 15:00: Talks: Smart, Integrated, Active, Useful!​
• 15:00 –15:40: Focus Group Activity: Visions for the future​
• 15:40–15:55: Feedback from Focus Groups & GroupDiscussion​
• 15:55–16:00: Wrap up and Next Steps​

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