We have collected here links to all important resources created by the RDA DMP Common Standards WG (official website).
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Tomasz Miksa, Simon Oblasser, and Andreas Rauber. Automating research data management using machine-actionable data management plans. ACM Transactions on Management Information Systems, 13(2), dec 2021.
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Tomasz Miksa, Paul Walk, Peter Neish, Simon Oblasser, Hollydawn Murray, Tom Renner, Marie-Christine Jacquemot-Perbal, João Cardoso, Trond Kvamme, Maria Praetzellis, Marek Suchánek, Rob Hooft, Benjamin Faure, Hanne Moa, Adil Hasan, and Sarah Jones. Application profile for machine-actionable data management plans. CODATA Data Science Journal, 20(1):32, October 2021
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Tomasz Miksa, Stephanie Simms, Daniel Mietchen, Sarah Jones: Ten principles for machine-actionable data management plans. PLOS Computational Biology (in press)
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João Cardoso, Leyla Jael Castro, and Tomasz Miksa. Interconnecting Systems Using Machine-Actionable Data Management Plans Hackathon Report. Data Science Journal, 20, 2021.
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Raffael Foidl, Lea Salome Brugger, and Tomasz Miksa.** Automating Evaluation of Machine-Actionable Data Management Plans with Semantic Web Technologies**. In DaMaLOS - 2nd Workshop on Data and Research Objects Management for Linked Open Science : Co-located at the International Semantic Web Conference ISWC 2021. PUBLISSO, November 2021.
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Tomasz Miksa, Maroua Jaoua, and Ghaith Arfaoui. Research Object Crates and Machine-actionable Data Management Plans. In DaMaLOS - First Workshop on Data and Research Objects Management for Linked Open Science : Co-located at the International Semantic Web Conference ISWC 2020. PUBLISSO, November 2020.
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João Cardoso, Leyla Jael Garcia Castro, Fajar Ekaputra, Marie-Christine Jacquemot-Perbal, Tomasz Miksa, and José Borbinha. Towards semantic representation of machine-actionable Data Management Plans. In DaMaLOS - First Workshop on Data and Research Objects Management for Linked Open Science : Co-located at the International Semantic Web Conference ISWC 2020. PUBLISSO, 2020.
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Simon Oblasser, Tomasz Miksa, Asanobu Kitamoto: Finding a Repository with the Help of Machine-Actionable DMPs: Opportunities and Challenges. IDCC 2020
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Tomasz Miksa, Peter Neish, Paul Walk, Andreas Rauber: Defining requirements for machine-actionable Data Management Plans. iPres 2018
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Tomasz Miksa, João Cardoso, José Luis Borbinha: Framing the scope of the common data model for machine-actionable Data Management Plans. BigData 2018: 2733-2742
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Asztrik Bakos, Tomasz Miksa, Andreas Rauber: Research Data Preservation Using Process Engines and Machine-Actionable Data Management Plans. TPDL 2018: 69-80
Collection of user stories to identify scope of maDMPs.
Collection of models that are relevant in view of requirements derived from the user stories
Prototype tools to illustrate various scenarios that can be supported by maDMPs (to generate new ideas).
Landing page for maDMPs
Tools to source information automatically from external systems
Dataverse and maDMPs
Generating human-readable DMPs from maDMPs
maDMP JSON validator
Use cases modeled as BPMN processes to show how DMPs can become machine-actionable. Processes are not fixed. Must be reviewed and adapted. Their goal is to show that machine-actionability lies within the systems and processes that use information from the model, and not in the model itself.
Balsamiq mock-up of a tool for maDMPs that is based on feedback collected from previous consultations, prototypes and interviews with researchers.
Work in progress.
Slides from RDA plenaries
Workshops ran to collect inputs