Virtual definition of data sets according to RDA recommendations
At GEOFON data centre is very difficult to offer big pre-assembled datasets to be downloaded, due to the resources needed for their storage. In this context, the idea of using a Data Collections System (DCS) in order to define and save this type of dataset is very appealing, because we can define co...
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ftzenodo:oai:zenodo.org:7225818 2023-05-15T18:32:39+02:00 Virtual definition of data sets according to RDA recommendations Quinteros, Javier 2022-10-19 https://zenodo.org/record/7225818 https://doi.org/10.5281/zenodo.7225818 eng eng info:eu-repo/grantAgreement/EC/H2020/857650/ doi:10.5281/zenodo.7225817 https://zenodo.org/communities/eosc-pillar https://zenodo.org/record/7225818 https://doi.org/10.5281/zenodo.7225818 oai:zenodo.org:7225818 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode EOSC Open Science Seismology info:eu-repo/semantics/article publication-article 2022 ftzenodo https://doi.org/10.5281/zenodo.722581810.5281/zenodo.7225817 2023-03-11T03:11:12Z At GEOFON data centre is very difficult to offer big pre-assembled datasets to be downloaded, due to the resources needed for their storage. In this context, the idea of using a Data Collections System (DCS) in order to define and save this type of dataset is very appealing, because we can define collections containing only "pointers" (e.g. PIDs, URLs) to the files which are included. This implies almost no extra storage, as only the pointers are saved. Therefore, we implemented this DCS based on an extended version of RDA WG specification on research data collection and make it generic enough and ready to be adopted by different communities within EOSC. Currently, 6000+ collections and 1.5+ million members were defined in the internal service. Learn more Article in Journal/Newspaper The Pointers Zenodo |
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English |
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EOSC Open Science Seismology |
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EOSC Open Science Seismology Quinteros, Javier Virtual definition of data sets according to RDA recommendations |
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EOSC Open Science Seismology |
description |
At GEOFON data centre is very difficult to offer big pre-assembled datasets to be downloaded, due to the resources needed for their storage. In this context, the idea of using a Data Collections System (DCS) in order to define and save this type of dataset is very appealing, because we can define collections containing only "pointers" (e.g. PIDs, URLs) to the files which are included. This implies almost no extra storage, as only the pointers are saved. Therefore, we implemented this DCS based on an extended version of RDA WG specification on research data collection and make it generic enough and ready to be adopted by different communities within EOSC. Currently, 6000+ collections and 1.5+ million members were defined in the internal service. Learn more |
format |
Article in Journal/Newspaper |
author |
Quinteros, Javier |
author_facet |
Quinteros, Javier |
author_sort |
Quinteros, Javier |
title |
Virtual definition of data sets according to RDA recommendations |
title_short |
Virtual definition of data sets according to RDA recommendations |
title_full |
Virtual definition of data sets according to RDA recommendations |
title_fullStr |
Virtual definition of data sets according to RDA recommendations |
title_full_unstemmed |
Virtual definition of data sets according to RDA recommendations |
title_sort |
virtual definition of data sets according to rda recommendations |
publishDate |
2022 |
url |
https://zenodo.org/record/7225818 https://doi.org/10.5281/zenodo.7225818 |
genre |
The Pointers |
genre_facet |
The Pointers |
op_relation |
info:eu-repo/grantAgreement/EC/H2020/857650/ doi:10.5281/zenodo.7225817 https://zenodo.org/communities/eosc-pillar https://zenodo.org/record/7225818 https://doi.org/10.5281/zenodo.7225818 oai:zenodo.org:7225818 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.722581810.5281/zenodo.7225817 |
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1766216857425018880 |