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FAIR SHARING OF THE BLSA DATA ECOSYSTEM
The BLSA is an invaluable resource for the study of human aging with uniquely rich measures taken longitudinally on a continuous replenishment cohort since 1958. Tremendous interest has been expressed by the United States and international research communities in expanded access to and use of BLSA d...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9770242/ http://dx.doi.org/10.1093/geroni/igac059.1231 |
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author | Griswold, Michael Henegan, James Blackshear, Chad Moore, Ann Smith, Thomas McGowan, Deric Simonsick, Eleanor Ferrucci, Luigi |
author_facet | Griswold, Michael Henegan, James Blackshear, Chad Moore, Ann Smith, Thomas McGowan, Deric Simonsick, Eleanor Ferrucci, Luigi |
author_sort | Griswold, Michael |
collection | PubMed |
description | The BLSA is an invaluable resource for the study of human aging with uniquely rich measures taken longitudinally on a continuous replenishment cohort since 1958. Tremendous interest has been expressed by the United States and international research communities in expanded access to and use of BLSA data to address emerging scientific questions. Here, we will describe recent study leadership initiatives into: (1) making the BLSA data more FAIR (Findable, Accessible, Interoperable, and Reusable), (2) growing a BLSA data ecosystem that enables scalable sharing, and (3) leveraging and developing platforms for accessing the ecosystem. Lastly, we will demonstrate current platform functions that empower researchers to find and access BLSA data, metadata, protocols, code and supporting materials to make new discoveries. |
format | Online Article Text |
id | pubmed-9770242 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97702422022-12-22 FAIR SHARING OF THE BLSA DATA ECOSYSTEM Griswold, Michael Henegan, James Blackshear, Chad Moore, Ann Smith, Thomas McGowan, Deric Simonsick, Eleanor Ferrucci, Luigi Innov Aging Abstracts The BLSA is an invaluable resource for the study of human aging with uniquely rich measures taken longitudinally on a continuous replenishment cohort since 1958. Tremendous interest has been expressed by the United States and international research communities in expanded access to and use of BLSA data to address emerging scientific questions. Here, we will describe recent study leadership initiatives into: (1) making the BLSA data more FAIR (Findable, Accessible, Interoperable, and Reusable), (2) growing a BLSA data ecosystem that enables scalable sharing, and (3) leveraging and developing platforms for accessing the ecosystem. Lastly, we will demonstrate current platform functions that empower researchers to find and access BLSA data, metadata, protocols, code and supporting materials to make new discoveries. Oxford University Press 2022-12-20 /pmc/articles/PMC9770242/ http://dx.doi.org/10.1093/geroni/igac059.1231 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Griswold, Michael Henegan, James Blackshear, Chad Moore, Ann Smith, Thomas McGowan, Deric Simonsick, Eleanor Ferrucci, Luigi FAIR SHARING OF THE BLSA DATA ECOSYSTEM |
title | FAIR SHARING OF THE BLSA DATA ECOSYSTEM |
title_full | FAIR SHARING OF THE BLSA DATA ECOSYSTEM |
title_fullStr | FAIR SHARING OF THE BLSA DATA ECOSYSTEM |
title_full_unstemmed | FAIR SHARING OF THE BLSA DATA ECOSYSTEM |
title_short | FAIR SHARING OF THE BLSA DATA ECOSYSTEM |
title_sort | fair sharing of the blsa data ecosystem |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9770242/ http://dx.doi.org/10.1093/geroni/igac059.1231 |
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