This is a joint session of the Active Data Management Plans IG, which is the place to discuss the evolution and monitoring of DMPs, and of the DMP Common Standards WG, where technical implementation is concerned for DMPs harmonisation and exchange across platforms. The workshop builds on the longstanding collaboration of RDA members who have expressed their commitment to support machine actionable DMPs in the Salzburg Manifesto, and gets further input from the IDCC workshop on DMPs interoperability and the Open Science Trails project developing plan-track-assess pathways in the European Open Science Cloud (EOSC). 

Our aim is to:

1. inform about the Manifesto and our shared vision, position, and efforts in active data management planning.

2. invite the global RDA community to further engage in co-designing, delivering and supporting the commons across regions.

3. identify the key points that we should be looking at next as a group and agree on next steps.

Thus, the session will highlight:

• The current landscape and new developments on the adoption of the DMP Common Standard for enhanced interoperability.

• The pathways to integrate with other services of the Research Data Management (RDM) Lifecycle, including software.

• Best practices adopted by DMPs in alignment with the FAIR principles, such as through DMP_IDs.

• The support needed to implement DMPs at technical, policy and operational levels.

• Welcome & introduction of co-chairs (5 min)

• Get to know the community – Menti (5 min)

• Overview of the groups (10 min)

• Updates on activities (20 min)

  • DMP Common Standard

  • Salzburg Manifesto

• Open consultation on the Manifesto (40 min)

• Next Steps (5min)

• Closing remarks (5min)

This session is relevant to anyone who might benefit from adopting the concept of machine actionable data management plans in their everyday work. This could include:

• researchers, to enhance the rigor and transparency of their work, potentially leading to increased credibility and impact of their research outcomes.

• repository managers, to enhance repository capabilities attracting more researchers to deposit their data, thereby enriching the repository’s content and fostering collaborations.

• service providers, shaping the standards and demonstrating their commitment to advancing research data management practices by enabling machine actionability.

• policy makers, to ensure that regulations and guidelines are well-informed, leading to more effective and feasible policies for managing research data.

• research support staff, to enhance their support services, contributing to the overall improvement of research data management practices in their institutions.

While we are looking for people who could directly adopt our results, we are also looking for generally interested people who can advise and test assumptions and processes.