Bridging the Gap: Enhancing Prominence and Provenance of NASA Datasets in Research Publications
Attribution of datasets that were used to generate research results described in peer-reviewed publications to the original source of these datasets (which are often archived at NASA Earth Science data centers) has been very challenging. Even though the data citation standard of citing datasets as r...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Ubiquity Press
2024-01-01
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| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | https://account.datascience.codata.org/index.php/up-j-dsj/article/view/1587 |
| _version_ | 1827352629029634048 |
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| author | Irina Gerasimov Andrey Savtchenko Jerome Alfred James Acker Jennifer Wei KC Binita |
| author_facet | Irina Gerasimov Andrey Savtchenko Jerome Alfred James Acker Jennifer Wei KC Binita |
| author_sort | Irina Gerasimov |
| collection | DOAJ |
| description | Attribution of datasets that were used to generate research results described in peer-reviewed publications to the original source of these datasets (which are often archived at NASA Earth Science data centers) has been very challenging. Even though the data citation standard of citing datasets as research artifacts and citing them with Digital Object Identifiers (DOIs) was introduced over a decade ago, most authors do not properly reference the data used in their studies and merely mention them in the text. The lack of proper citations of datasets makes the peer-reviewed publication less transparent, imperils reproducibility, and impedes open science. We offer an open-source publication management methodology and a tool that can help to enhance usage-based data discovery, prominence, and provenance of the data; reproducibility of the research results; and potentially increase the return on investment on NASA-funded research. |
| first_indexed | 2024-03-08T03:08:44Z |
| format | Article |
| id | doaj.art-3eb39d9be1a440f191a5583ec6625b7c |
| institution | Directory Open Access Journal |
| issn | 1683-1470 |
| language | English |
| last_indexed | 2024-03-08T03:08:44Z |
| publishDate | 2024-01-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Data Science Journal |
| spelling | doaj.art-3eb39d9be1a440f191a5583ec6625b7c2024-02-13T07:31:13ZengUbiquity PressData Science Journal1683-14702024-01-01231110.5334/dsj-2024-0011587Bridging the Gap: Enhancing Prominence and Provenance of NASA Datasets in Research PublicationsIrina Gerasimov0https://orcid.org/0000-0003-0224-5004Andrey Savtchenko1https://orcid.org/0000-0002-1147-1014Jerome Alfred2https://orcid.org/0000-0002-1203-7113James Acker3https://orcid.org/0000-0001-7262-9615Jennifer Wei4https://orcid.org/0000-0002-1539-2137KC Binita5https://orcid.org/0000-0001-6126-5369ADNET Systems Inc.; NASA GES DISCADNET Systems Inc.; NASA GES DISCADNET Systems Inc.; NASA GES DISCADNET Systems Inc.; NASA GES DISCNASA GES DISCADNET Systems Inc.; NASA GES DISCAttribution of datasets that were used to generate research results described in peer-reviewed publications to the original source of these datasets (which are often archived at NASA Earth Science data centers) has been very challenging. Even though the data citation standard of citing datasets as research artifacts and citing them with Digital Object Identifiers (DOIs) was introduced over a decade ago, most authors do not properly reference the data used in their studies and merely mention them in the text. The lack of proper citations of datasets makes the peer-reviewed publication less transparent, imperils reproducibility, and impedes open science. We offer an open-source publication management methodology and a tool that can help to enhance usage-based data discovery, prominence, and provenance of the data; reproducibility of the research results; and potentially increase the return on investment on NASA-funded research.https://account.datascience.codata.org/index.php/up-j-dsj/article/view/1587open-sourcedata provenancedata usagedata publicationdataset citationdataset doicitation management |
| spellingShingle | Irina Gerasimov Andrey Savtchenko Jerome Alfred James Acker Jennifer Wei KC Binita Bridging the Gap: Enhancing Prominence and Provenance of NASA Datasets in Research Publications Data Science Journal open-source data provenance data usage data publication dataset citation dataset doi citation management |
| title | Bridging the Gap: Enhancing Prominence and Provenance of NASA Datasets in Research Publications |
| title_full | Bridging the Gap: Enhancing Prominence and Provenance of NASA Datasets in Research Publications |
| title_fullStr | Bridging the Gap: Enhancing Prominence and Provenance of NASA Datasets in Research Publications |
| title_full_unstemmed | Bridging the Gap: Enhancing Prominence and Provenance of NASA Datasets in Research Publications |
| title_short | Bridging the Gap: Enhancing Prominence and Provenance of NASA Datasets in Research Publications |
| title_sort | bridging the gap enhancing prominence and provenance of nasa datasets in research publications |
| topic | open-source data provenance data usage data publication dataset citation dataset doi citation management |
| url | https://account.datascience.codata.org/index.php/up-j-dsj/article/view/1587 |
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