Abstract

This report presents outputs of the International Digital Curation Conference 2017 workshop on machine-actionable data management plans. It contains community-generated use cases covering eight broad topics that reflect the needs of various stakeholders. It also articulates a consensus about the need for a common standard for machine-actionable data management plans to enable future work in this area.

Highlights

  • Data management plans (DMPs) are becoming commonplace across the globe as a result of funders requiring them with grant proposals, but they are not being employed in ways that truly support the research enterprise

  • This document presents a list of community-generated maDMP use cases

  • It articulates a consensus about the need for a common standard for maDMPs to enable future work in this area

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Summary

Aims of the workshop

With growing interest in active, actionable data management plans, the Digital Curation Centre (DCC) and University of California Curation Center (UC3) at the California Digital Library took the opportunity of the IDCC17 conference to convene a workshop on the topic. The aim of the workshop was to understand different stakeholder requirements and bring together a diverse international group to develop specific use cases for machine-actionable data management plans. The workshop participants included 47 people from 16 different countries, representing funders, developers, librarians, service providers, and the research community. In practical, brainstorming exercises, the groups discussed use cases focused on interoperability with research systems, leveraging persistent identifiers, evaluation and monitoring, and repository and institutional perspectives, and prioritized future work. The DCC and UC3 will use the workshop outputs to implement and pilot the use cases in the DMPRoadmap platform

Background
Evaluation and monitoring
Conclusions and next steps

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