Interconnecting Systems Using Machine-Actionable Data Management Plans – Hackathon Report

Cardoso, João; Castro, Leyla Jael; Miksa, Tomasz

doi:10.5334/dsj-2021-035

Cited by 4 publications

(4 citation statements)

References 8 publications

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“…The more recent guidelines for the Horizon Europe programme (European Commission 2021) improve the previous one by clarifying some concepts and by addressing the management not only of data but also of other research outputs, both digital and physical, ensuring alignment with FAIR principles for sharing and re-use. These guidelines are an effective tool, especially when integrated with other existing guidelines or tools like 'ERC Open Research Data and Data Management Plans' (ERC 2019), the already mentioned DMPonline tool (Donnelly, Jones & Pattenden-Fail 2010), the ARGOS tool which also allows generating machine actionable DMPs, 17 other tools dedicated to standard-based machine actionable data management (Cardoso, Castro & Miksa 2021), the Data Stewardship Wizard, 18 EasyDMP 19 and many others.…”

Section: Data Management Plan Guidelines For Federated Research Infra...mentioning

confidence: 99%

Data Management in Distributed, Federated Research Infrastructures: The Case of EPOS

Bailo,

Paciello,

Michalek

et al. 2024

Data Science Journal

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Data management is a key activity when Open Data stewardship through services complying with the FAIR principles is required, as it happens in many National and European initiatives. Existing guidelines and tools facilitate the drafting of Data Management Plans by focusing on a set of common parameters or questions. In this paper we describe how data management is carried out in EPOS, the European Research Infrastructure for providing access to integrated data and services in the solid Earth domain. EPOS relies on a federated model and is committed to remain operational in the long term. In EPOS, five key dimensions were identified for the Federated Data Management, namely the management of: thematic data; e-infrastructure for data integration; community of data providers committed to data provision processes; sustainability; and policies. On the basis of the EPOS experience, which is to some extent applicable to other research infrastructures, we propose additional components that may extend the EU Horizon 2020 Data Management Guidelines template, thus comprehensively addressing the Federated Data Management in the context of distributed Research Infrastructures.

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Section: Data Management Plan Guidelines For Federated Research Infra...mentioning

confidence: 99%

Data Management in Distributed, Federated Research Infrastructures: The Case of EPOS

Bailo,

Paciello,

Michalek

et al. 2024

Data Science Journal

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“…The pre-existing information should be used to pre-fill DMPs. Pre-filling of DMPs or semiautomated DMP creation has already been implemented e.g., at the Radbound University, where the DMP creation has been integrated to the CRIS system (Jetten et al 2019); and ARGOS (Romanos et al 2019), which pre-fills DMPs using repository information; and at the University of Vienna, integrating the DMP creation with various IT systems (Cardoso et al 2021). In these examples, CRIS and data repositories have been used to pre-fill the DMPs.…”

Section: Dmp Support -Pre-existing Information Lifecycle -Knowledge T...mentioning

confidence: 99%

A Framework for Active DMPs in Photon and Neutron Science Large-Scale Facilities

Görzig,

Gonzalez Beltran,

Engel

et al. 2024

Data Science Journal

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In this paper, a framework and a system architecture are presented to support researchers in DMP creation and execution, with a focus on the generation of FAIR data. Using the research data lifecycle within Photon and Neutron analytical facilities as a detailed exemplar of this approach in practice, it shows how combining the creation of the DMP with the project management framework PMBOK makes it easier to integrate DMP creation within the researchers' workflow and reuse pre-existing information within the research infrastructure and related project roles. The paper identifies requirements and introduces a lifecycle for pre-existing information that helps in automatic population of the DMP. This paper also discusses a data model for the reuse of pre-existing information. It shows possible approaches to support scientists through the (semi-)automation of the creation, execution, and use of a DMP and knowledge transfer. The approach is based on work within the PaNData ODI, ExPaNDS, and PaNOSC projects.

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“…It was therefore necessary to create a stable version, that would not only comply with the three key requirements for DCSO, but also follow the best practices in ontology engineering. The RDA Hackathon on Machine-Actionable Data Management Plans [15] proved to be the perfect opportunity to tackle this objective. The motivation for the Hackathon was to promote the usage of the maDMP concept by the research community.…”

Section: First Stable Versionmentioning

confidence: 99%

“…It is also important to point out the integrations in DSW. A user can, for example, select a funder using integration with CrossRef [14] , similarly a license from Wikidata [15] or affiliation from the Research Organization Registry (ROR) [16] . The URI of entry is then saved as a part of the reply and here used in the template for corresponding RDF triple following the linked data principles.…”

Section: Use Case: Data Stewardship Wizardmentioning

confidence: 99%

DCSO: Towards an Ontology for Machine-actionable Data Management Plans

Cardoso

Castro

Ekaputra

et al. 2022

Preprint

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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 core set of universal concepts characterising a DMP in the pursuit of producing a DMP as a machine-actionable information artefact, i.e.,machine-actionable Data Management Plan (maDMP). The technology-agnostic approach of the current maDMP specification: (i) does not explicitly link to related data models or ontologies, (ii) has no standardised way to describe controlled vocabularies, and (iii) is extensible, but has no clear mechanism to distinguish between the core specification and its extensions. Currently, the maDMP specification provides a JSON serialisation and schema to operationalise the approach. Such approach, however, does not address the concerns above. This paper reports on the community effort to create the DMP Common Standard Ontology (DCSO) as a serialisation of the DCS core concepts, with a particular focus on a detailed description of the components of the ontology. Our initial result shows that the proposed DCSO can become a suitable candidate for a reference serialisation of the DMP Common Standard.

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Interconnecting Systems Using Machine-Actionable Data Management Plans – Hackathon Report

Cited by 4 publications

References 8 publications

Data Management in Distributed, Federated Research Infrastructures: The Case of EPOS

Data Management in Distributed, Federated Research Infrastructures: The Case of EPOS

A Framework for Active DMPs in Photon and Neutron Science Large-Scale Facilities

DCSO: Towards an Ontology for Machine-actionable Data Management Plans

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