dc.contributor.author | Miksa, T. | |
dc.contributor.author | Walk, Paul | |
dc.contributor.author | Neish, Peter | |
dc.contributor.author | Oblasser, Simon | |
dc.contributor.author | HOLLAND, MURRAY | |
dc.contributor.author | Renner, Tom | |
dc.contributor.author | Jacquemot-Perbal, M-C. | |
dc.contributor.author | Cardoso, Joao | |
dc.contributor.author | Kvamme, Trond | |
dc.contributor.author | Praetzellis, Maria | |
dc.contributor.author | Suchánek, Marek | |
dc.contributor.author | Hooft, Rob | |
dc.contributor.author | Faure, Benjamin | |
dc.contributor.author | Moa, Hanne | |
dc.contributor.author | Hasan, Adil | |
dc.contributor.author | Jones, Sarah | |
dc.date.accessioned | 2021-11-18T21:50:16Z | |
dc.date.available | 2021-11-18T21:50:16Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Miksa, T., Walk, P., Neish, P.,
Oblasser, S., Murray, H.,
Renner, T., Jacquemot-Perbal,
M-C., Cardoso, J., Kvamme, T.,
Praetzellis, M., Suchánek, M.,
Hooft, R., Faure, B., Moa, H.,
Hasan, A. and Jones, S. (2021)
Application Profile for Machine-
Actionable Data Management
Plans. Data Science Journal,
20: pp. 32-49. DOI: https://
doi.org/10.5334/dsj-2021-032 | en_US |
dc.identifier.uri | https://repository.oceanbestpractices.org/handle/11329/1784 | |
dc.description.abstract | 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. We describe the methodology and research
conducted to define the application profile. We also discuss design decisions made
during its development and present systems which have adopted it. The application
profile was developed in an open and consensus-driven manner within the DMP
Common Standards Working Group of the Research Data Alliance and is its official
recommendation | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.other | Application profile | en_US |
dc.subject.other | maDMPs | en_US |
dc.subject.other | Data Management Plan | en_US |
dc.subject.other | Machine actionable | en_US |
dc.subject.other | RDA | en_US |
dc.title | Application Profile for Machine- Actionable Data Management Plans. | en_US |
dc.type | Journal Contribution | en_US |
dc.description.refereed | Refereed | en_US |
dc.format.pagerange | pp.32-49 | en_US |
dc.identifier.doi | https:// doi.org/10.5334/dsj-2021-032 | |
dc.subject.parameterDiscipline | Administration and dimensions | en_US |
dc.subject.dmProcesses | Metadata management | en_US |
dc.subject.dmProcesses | Data archival/stewardship/curation | en_US |
dc.bibliographicCitation.title | Data Science Journal | en_US |
dc.bibliographicCitation.volume | 20 | en_US |
dc.bibliographicCitation.issue | 1 | en_US |
dc.description.eov | N/A | en_US |
dc.description.adoption | Validated (tested by third parties) | en_US |
dc.description.methodologyType | Method | en_US |
obps.contact.contactname | Tomasz Miksa | |
obps.contact.contactemail | miksa@ifs.tuwien.ac.at | |
obps.resourceurl.publisher | https://datascience.codata.org/article/10.5334/dsj-2021-032/ | |