[Elli Papadopoulou]

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)

1. First group option
Active Data Management Plans IG

Additional links to informative material

ActiveDMPs website: https://activedmps.github.io/website/# 

RDA DMP Common Standard Github page: https://github.com/RDA-DMP-Common/RDA-DMP-Common-Standard

Science Europe Practical Guide to the International Alignment of Research Data Management: https://scienceeurope.org/our-resources/practical-guide-to-the-internati…

Applicable Pathways
Training and Data Management Planning

Are you willing to host a second, repeat session in a different time zone?
No

Avoid conflict with the following group (2)
FAIR for Machine Learning (FAIR4ML) IG

Brief introduction describing the activities and scope of the group
This is a joint session between:

Active Data Management Plans IG that acts as a nucleus for discussing requirements for and identifying developments needed to support active (i.e. able to evolve and be monitored) data management planning. 

DMP Common Standards WG that realizes the vision of DMPs being fully integrated into the systems and workflows of the wider research data management environment, through the development of a common data model, vocabularies and reference implementations in popular formats, such as JSON, XML, RDF, etc. 

Both groups complement each other’s activities by giving input that influences implementation and testing the adoption across stakeholders and diverse settings. The main output, however, organically comes from the DMP Common Standards WG. It has developed an application profile that allows information from traditional DMPs to be expressed in a machine-actionable way, adopted by all major DMP platforms worldwide, namely ARGOS, DAMAP, Data Stewardship Wizard, DMPOnline, DMPTool, RDMO. Thus, automatic exchange, integration, and validation of information provided in DMPs is possible, reducing the workload and bureaucracy often associated with traditional DMPs.

Group chair serving as contact person
Elli Papadopoulou

I declare that I have informed the chairs of all the Working / Interest groups included in this joint meeting application.
Acknowledged

Meeting objectives
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.

Please indicate at least (3) three breakout slots that would suit your meeting.
Breakout 2, Breakout 5, Breakout 8

Privacy Policy
1

Target Audience
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.

Discussion