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The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be ...
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Data Management Plans in Horizon 2020: what beneficiaries think and what we can learn from their experience [version 2; peer review: 2 approved, 1 approved with reservations] [PDF]
Open Research Europe, 2022 Background: Data Management Plans (DMPs) are at the heart of many research funder requirements for data management and open data, including the EU’s Framework Programme for Research and Innovation, Horizon 2020.
Daniel Spichtinger
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DCSO: towards an ontology for machine-actionable data management plans [PDF]
Journal of Biomedical Semantics, 2022 The concept of Data Management Plan (DMP) has emerged as a fundamental tool to help researchers through the systematical management of data. The Research Data Alliance DMP Common Standard (DCS) working group developed a set of universal concepts ...
João Cardoso +6 more
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Ten principles for machine-actionable data management plans. [PDF]
PLoS Computational Biology, 2019 Data management plans (DMPs) are documents accompanying research proposals and project outputs. DMPs are created as free-form text and describe the data and tools employed in scientific investigations.
Tomasz Miksa +3 more
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Data management plans as linked open data: exploiting ARGOS FAIR and machine actionable outputs in the OpenAIRE research graph [PDF]
Journal of Biomedical Semantics, 2023 Background Open Science Graphs (OSGs) are scientific knowledge graphs representing different entities of the research lifecycle (e.g. projects, people, research outcomes, institutions) and the relationships among them.
Elli Papadopoulou +5 more
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Machine-actionable data management plans (maDMPs) [PDF]
Research Ideas and Outcomes, 2017 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.
Stephanie Simms +3 more
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Citizen Science: Theory and Practice, 2023 Citizen science (CS) is a way to open up the scientific process, to make it more accessible and inclusive, and to bring professional scientists and the public together in shared endeavours to advance knowledge.
Gefion Thuermer +4 more
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Interconnecting Systems Using Machine-Actionable Data Management Plans – Hackathon Report
Data Science Journal, 2021 The common standard for machine-actionable Data Management Plans (DMPs) allows for automatic exchange, integration, and validation of information provided in DMPs. In this paper, we report on the hackathon organised by the Research Data Alliance in which
João Cardoso +2 more
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Data Management Plans: Implications for Automated Analyses
Data Science Journal, 2023 Data management plans (DMPs) are an essential part of planning data-driven research projects and ensuring long-term access and use of research data and digital objects; however, as text-based documents, DMPs must be analyzed manually for conformance to ...
Ngoc-Minh Pham +3 more
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Application Profile for Machine-Actionable Data Management Plans
Data Science Journal, 2021 This paper presents the application profile for machine-actionable data management plans that allows information from traditional data management plans to be expressed in a machine-actionable way.
Tomasz Miksa +15 more
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