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1000 Titel
  • A metadata analysis for machine-actionable Software Mng Plans - Poster
1000 Titelzusatz
  • A metadata analysis for machine-actionable Software Management Plans - Poster
1000 Autor/in
  1. Giraldo, Olga |
  2. Alves, Renato |
  3. Bampalikis, Dimitrios |
  4. Fernández González, José María |
  5. del Pico, Eva Martin |
  6. Psomopoulos, Fotis |
  7. Quiñones, Nelson |
  8. Solanki, Dhwani |
  9. Via, Allegra |
  10. Castro, Leyla Jael |
1000 Erscheinungsjahr 2023
1000 Publikationstyp
  1. Kongressschrift |
1000 Online veröffentlicht
  • 2023-03
1000 Erschienen in
1000 FRL-Sammlung
1000 Übergeordneter Kongress
1000 Lizenz
1000 Verlagsversion
  • https://www.swat4ls.org/workshops/basel2023/scientific-programme-2023/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Data Management Plans (DMPs) describe the data management lifecycle for the data corresponding to a research project, including activities from collection to preservation Machine-actionable DMPs improve text-based DMPs by adding a semantic layer representing the most common elements relevant to DMPs, from datasets to funders. Similar to DMPs, Software Management Plans (SMPs) follow the software management lifecycle. The ELIXIR SMP was developed to support life science researchers and make it easier to follow research software good practices aligned to the findable, accessible, interoperable and reusable principles for research software. Currently, the ELIXIR SMP is a questionnaire-based document that would benefit from a machine-actionable approach. Here, we present a preliminary metadata analysis including possible types and properties from Schema.org that could be used to model machine-actionable SMPs.
1000 Sacherschließung
lokal Research software management plans
lokal metadata analysis
lokal machine-actionability
1000 Fächerklassifikation (DDC)
1000 DOI 10.4126/FRL01-006440396 |
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-2978-8922|https://frl.publisso.de/adhoc/uri/QWx2ZXMsIFJlbmF0bw==|https://frl.publisso.de/adhoc/uri/QmFtcGFsaWtpcywgRGltaXRyaW9z|https://orcid.org/0000-0002-4806-5140|https://frl.publisso.de/adhoc/uri/ZGVsIFBpY28sIEV2YSBNYXJ0aW4=|https://orcid.org/0000-0002-0222-4273|https://frl.publisso.de/adhoc/uri/UXVpw7FvbmVzLCBOZWxzb24=|https://frl.publisso.de/adhoc/uri/U29sYW5raSwgRGh3YW5p|https://frl.publisso.de/adhoc/uri/VmlhLCBBbGxlZ3Jh|https://orcid.org/0000-0003-3986-0510
1000 Hinweis
  • This project is part of the Research Data Alliance and European Open Science Cloud Future call 2022. The work presented in this poster was part of Project 17 at the BioHackathon Europe 2022
1000 Label
1000 Förderer
  1. Horizon 2020 Framework Programme |
  2. ELIXIR Tools Platform |
1000 Fördernummer
  1. 101017536
  2. -
1000 Förderprogramm
  1. -
  2. Good Practices Focus Group
1000 Dateien
  1. A metadata analysis for machine-actionable Software Mng Plans - Poster
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Horizon 2020 Framework Programme |
    1000 Förderprogramm -
    1000 Fördernummer 101017536
  2. 1000 joinedFunding-child
    1000 Förderer ELIXIR Tools Platform |
    1000 Förderprogramm Good Practices Focus Group
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6440396.rdf
1000 Erstellt am 2023-02-24T11:08:50.521+0100
1000 Erstellt von 25
1000 beschreibt frl:6440396
1000 Bearbeitet von 320
1000 Zuletzt bearbeitet Mon Mar 06 11:58:50 CET 2023
1000 Objekt bearb. Mon Mar 06 11:58:38 CET 2023
1000 Vgl. frl:6440396
1000 Oai Id
  1. oai:frl.publisso.de:frl:6440396 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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