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Making Common Fund data more findable: catalyzing a data ecosystem
The Common Fund Data Ecosystem (CFDE) has created a flexible system of data federation that enables researchers to discover datasets from across the US National Institutes of Health Common Fund without requiring that data owners move, reformat, or rehost those data. This system is centered on a cata...
| 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/PMC9677336/ https://www.ncbi.nlm.nih.gov/pubmed/36409836 http://dx.doi.org/10.1093/gigascience/giac105 |
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| author | Charbonneau, Amanda L Brady, Arthur Czajkowski, Karl Aluvathingal, Jain Canchi, Saranya Carter, Robert Chard, Kyle Clarke, Daniel J B Crabtree, Jonathan Creasy, Heather H D'Arcy, Mike Felix, Victor Giglio, Michelle Gingrich, Alicia Harris, Rayna M Hodges, Theresa K Ifeonu, Olukemi Jeon, Minji Kropiwnicki, Eryk Lim, Marisa C W Liming, R Lee Lumian, Jessica Mahurkar, Anup A Mandal, Meisha Munro, James B Nadendla, Suvarna Richter, Rudyard Romano, Cia Rocca-Serra, Philippe Schor, Michael Schuler, Robert E Tangmunarunkit, Hongsuda Waldrop, Alex Williams, Cris Word, Karen Sansone, Susanna-Assunta Ma'ayan, Avi Wagner, Rick Foster, Ian Kesselman, Carl Brown, C Titus White, Owen |
| author_facet | Charbonneau, Amanda L Brady, Arthur Czajkowski, Karl Aluvathingal, Jain Canchi, Saranya Carter, Robert Chard, Kyle Clarke, Daniel J B Crabtree, Jonathan Creasy, Heather H D'Arcy, Mike Felix, Victor Giglio, Michelle Gingrich, Alicia Harris, Rayna M Hodges, Theresa K Ifeonu, Olukemi Jeon, Minji Kropiwnicki, Eryk Lim, Marisa C W Liming, R Lee Lumian, Jessica Mahurkar, Anup A Mandal, Meisha Munro, James B Nadendla, Suvarna Richter, Rudyard Romano, Cia Rocca-Serra, Philippe Schor, Michael Schuler, Robert E Tangmunarunkit, Hongsuda Waldrop, Alex Williams, Cris Word, Karen Sansone, Susanna-Assunta Ma'ayan, Avi Wagner, Rick Foster, Ian Kesselman, Carl Brown, C Titus White, Owen |
| author_sort | Charbonneau, Amanda L |
| collection | PubMed |
| description | The Common Fund Data Ecosystem (CFDE) has created a flexible system of data federation that enables researchers to discover datasets from across the US National Institutes of Health Common Fund without requiring that data owners move, reformat, or rehost those data. This system is centered on a catalog that integrates detailed descriptions of biomedical datasets from individual Common Fund Programs’ Data Coordination Centers (DCCs) into a uniform metadata model that can then be indexed and searched from a centralized portal. This Crosscut Metadata Model (C2M2) supports the wide variety of data types and metadata terms used by individual DCCs and can readily describe nearly all forms of biomedical research data. We detail its use to ingest and index data from 11 DCCs. |
| format | Online Article Text |
| id | pubmed-9677336 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Oxford University Press |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-96773362022-11-21 Making Common Fund data more findable: catalyzing a data ecosystem Charbonneau, Amanda L Brady, Arthur Czajkowski, Karl Aluvathingal, Jain Canchi, Saranya Carter, Robert Chard, Kyle Clarke, Daniel J B Crabtree, Jonathan Creasy, Heather H D'Arcy, Mike Felix, Victor Giglio, Michelle Gingrich, Alicia Harris, Rayna M Hodges, Theresa K Ifeonu, Olukemi Jeon, Minji Kropiwnicki, Eryk Lim, Marisa C W Liming, R Lee Lumian, Jessica Mahurkar, Anup A Mandal, Meisha Munro, James B Nadendla, Suvarna Richter, Rudyard Romano, Cia Rocca-Serra, Philippe Schor, Michael Schuler, Robert E Tangmunarunkit, Hongsuda Waldrop, Alex Williams, Cris Word, Karen Sansone, Susanna-Assunta Ma'ayan, Avi Wagner, Rick Foster, Ian Kesselman, Carl Brown, C Titus White, Owen Gigascience Research The Common Fund Data Ecosystem (CFDE) has created a flexible system of data federation that enables researchers to discover datasets from across the US National Institutes of Health Common Fund without requiring that data owners move, reformat, or rehost those data. This system is centered on a catalog that integrates detailed descriptions of biomedical datasets from individual Common Fund Programs’ Data Coordination Centers (DCCs) into a uniform metadata model that can then be indexed and searched from a centralized portal. This Crosscut Metadata Model (C2M2) supports the wide variety of data types and metadata terms used by individual DCCs and can readily describe nearly all forms of biomedical research data. We detail its use to ingest and index data from 11 DCCs. Oxford University Press 2022-11-21 /pmc/articles/PMC9677336/ /pubmed/36409836 http://dx.doi.org/10.1093/gigascience/giac105 Text en © The Author(s) 2022. Published by Oxford University Press GigaScience. 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 | Research Charbonneau, Amanda L Brady, Arthur Czajkowski, Karl Aluvathingal, Jain Canchi, Saranya Carter, Robert Chard, Kyle Clarke, Daniel J B Crabtree, Jonathan Creasy, Heather H D'Arcy, Mike Felix, Victor Giglio, Michelle Gingrich, Alicia Harris, Rayna M Hodges, Theresa K Ifeonu, Olukemi Jeon, Minji Kropiwnicki, Eryk Lim, Marisa C W Liming, R Lee Lumian, Jessica Mahurkar, Anup A Mandal, Meisha Munro, James B Nadendla, Suvarna Richter, Rudyard Romano, Cia Rocca-Serra, Philippe Schor, Michael Schuler, Robert E Tangmunarunkit, Hongsuda Waldrop, Alex Williams, Cris Word, Karen Sansone, Susanna-Assunta Ma'ayan, Avi Wagner, Rick Foster, Ian Kesselman, Carl Brown, C Titus White, Owen Making Common Fund data more findable: catalyzing a data ecosystem |
| title | Making Common Fund data more findable: catalyzing a data ecosystem |
| title_full | Making Common Fund data more findable: catalyzing a data ecosystem |
| title_fullStr | Making Common Fund data more findable: catalyzing a data ecosystem |
| title_full_unstemmed | Making Common Fund data more findable: catalyzing a data ecosystem |
| title_short | Making Common Fund data more findable: catalyzing a data ecosystem |
| title_sort | making common fund data more findable: catalyzing a data ecosystem |
| topic | Research |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9677336/ https://www.ncbi.nlm.nih.gov/pubmed/36409836 http://dx.doi.org/10.1093/gigascience/giac105 |
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