Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Machine-Actionable Data Management Plan"'
Autor:
João Cardoso, Leyla J. Castro, Fajar J. Ekaputra, Marie C. Jacquemot, Marek Suchánek, Tomasz Miksa, José Borbinha
Publikováno v:
Journal of Biomedical Semantics, Vol 13, Iss 1, Pp 1-12 (2022)
Abstract 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 conc
Externí odkaz:
https://doaj.org/article/8e7fe7eeaf774a9da8a532530fe99660
Autor:
Hooft, Rob
Lecture given for the open science community Maastricht in the series of FAIR coffee lectures. https://www.openscience-maastricht.nl/events/fair-coffee-lecture-11-january-2023/
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65902a2b4abd66cf61fd51a9201f3edc
Autor:
Mohr, Daniel, Brötz, Björn
RIAF is a repository infrastructure to accommodate files. It enables to hold the data with the FAIR principles. RIAF is designed to enable provenance and reproducibility of the research data in the early part of the data life cycle, i. e. prior to pu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b71fd3a44212e8727fa95b0244e6e9d
https://doi.org/10.5281/zenodo.7189121
https://doi.org/10.5281/zenodo.7189121
Publikováno v:
Advances in Information Retrieval
Funding bodies and other policy-makers are increasingly more concerned with Research Data Management (RDM). The Data Management Plan (DMP) is one of the tools available to perform RDM tasks, however it is not a perfect concept. The Machine-Actionable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmc_________::47be88bd30b470aee5d2f9a09c2e11d6
http://europepmc.org/articles/PMC7148019
http://europepmc.org/articles/PMC7148019
Akademický článek
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Autor:
Winkler, Martin
Users of social media see others in the best light which might have adverse effect on the mental state of the users as they don't measure up to the people they follow. The level of impact might be great enough to reflect in the number of committed su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cbd0efa566a3dd41db4e960a84e81e7
Publikováno v:
2nd Workshop on Data and Research Objects Management for Linked Open Science, p. 1-13
Machine-actionable data management plans (maDMPs) have, by their very nature, potential to bring advantages over data management plans that are written in text form. By employing maDMPs, not only researchers should be able to benefit from their merit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9493d9b00f765d399c71e46d889f61a3
https://repository.publisso.de/resource/frl:6429413
https://repository.publisso.de/resource/frl:6429413
Autor:
Mojib Wali, Nikita Lvov, Ilire Hasani-Mavriqi, Christoph Ladurner, Justine Vandendorpe, Niklas Zimmer
The introduction and implementation of maDMPs are crucial to ensure efficient research data management from planning to archiving the data. It is important to include various organisational units of an institution in the development process to ensure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6ce4d6feb4c2a6b78405c07686d27e6
The development of the DMP Common Standard Ontology (DCSO) is an ongoing effort intended to provide semantic technology representation of the DCS application profile. The objective of this Issue was to create a new version of the DCSO that complies w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3840916fce433ac9fb47f7adbe877732
Our work of the RDA 2020 Hackathon on maDMPs is based on the idea of automated quality-control metrics as part of a Linked Data Pipeline for the Research Data Connectome. We propose a novel quality analyser that uses keywords obtained from 24 DMPs to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48e8438518970965762b5ff4e6b96ecb