Making Common Fund Data More Findable: Catalyzing a Data Ecosystem. Charbonneau, A. L, Brady, A., Brown, C. T., Sansone, S., Ma'ayan, A., Wagner, R., Carter, R., Harris, R. M, Gingrich, A., Lim, M. C., Munro, J. B, Clarke, D. J., Creasy, H. H, Rocca-Serra, P., Jeon, M., Liming, R. L., Schuler, R. E., Romano, C., Chard, K., Giglio, M., Nadendla, S., Hodges, T. K, Mandal, M., Canchi, S., Waldrop, A., & White, O. bioRxiv preprint: https://www.biorxiv.org/content/early/2021/11/08/2021.11.05.467504.full.pdf, 2021. Paper doi abstract bibtex The Common Fund Data Ecosystem has created a flexible system of data federation that enables users to discover datasets from across the Common Fund without requiring the data owners to move, reformat, or rehost those data. The CFDEs federation system is centered on a metadata catalog that ingests metadata from individual Common Fund Program Data Coordination Centers into a uniform metadata model that can then be indexed and searched from a centralized portal. This uniform Crosscut Metadata Model (C2M2), supports the wide variety of data set types and metadata terms used by the individual and is designed to enable easy expansion to accommodate new datatypes.Competing Interest StatementThe authors have declared no competing interest.
@misc{Charbonneau2021,
abstract = {The Common Fund Data Ecosystem has created a flexible system of data federation that enables users to discover datasets from across the Common Fund without requiring the data owners to move, reformat, or rehost those data. The CFDEs federation system is centered on a metadata catalog that ingests metadata from individual Common Fund Program Data Coordination Centers into a uniform metadata model that can then be indexed and searched from a centralized portal. This uniform Crosscut Metadata Model (C2M2), supports the wide variety of data set types and metadata terms used by the individual and is designed to enable easy expansion to accommodate new datatypes.Competing Interest StatementThe authors have declared no competing interest.},
archiveprefix = {bioRxiv : the preprint server for biology},
author = {Charbonneau, Amanda L and Brady, Arthur and Brown, C. Titus and Sansone, Susanna-Assunta and Ma'ayan, Avi and Wagner, Rick and Carter, Robert and Harris, Rayna M and Gingrich, Alicia and Lim, Marisa C.W. and Munro, James B and Clarke, Daniel J.B. and Creasy, Heather H and {Rocca-Serra}, Philippe and Jeon, Minji and Liming, R. Lee and Schuler, Robert E. and Romano, Cia and Chard, Kyle and Giglio, Michelle and Nadendla, Suvarna and Hodges, Theresa K and Mandal, Meisha and Canchi, Saranya and Waldrop, Alex and White, Owen},
bdsk-url-2 = {https://doi.org/10.1101/2021.11.05.467504},
date-added = {2024-01-22 12:07:46 -0800},
date-modified = {2024-01-22 12:07:46 -0800},
doi = {10.1101/2021.11.05.467504},
elocation-id = {2021.11.05.467504},
eprint = {https://www.biorxiv.org/content/early/2021/11/08/2021.11.05.467504.full.pdf},
howpublished = {bioRxiv preprint: https://www.biorxiv.org/content/early/2021/11/08/2021.11.05.467504.full.pdf},
keywords = {preprint},
publisher = {{bioRxiv : the preprint server for biology}},
title = {Making {{Common Fund}} Data More Findable: {{Catalyzing}} a {{Data Ecosystem}}},
url = {https://www.biorxiv.org/content/early/2021/11/08/2021.11.05.467504},
year = {2021},
bdsk-url-1 = {https://www.biorxiv.org/content/early/2021/11/08/2021.11.05.467504},
bdsk-url-2 = {https://doi.org/10.1101/2021.11.05.467504}}
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