Making Common Fund data more findable: Catalyzing a Data Ecosystem. Charbonneau, A. L, Brady, A., Canchi, S., Carter, R., Chard, K., Clarke, D. J., Creasy, H. H, D’Arcy, M., Giglio, M., Gingrich, A., Harris, R. M, Hodges, T. K, Jeon, M., Kropiwnicki, E., Lim, M. C., Liming, R. L., Mandal, M., Munro, J. B, Nadendla, S., Romano, C., Rocca-Serra, P., Schuler, R. E., Waldrop, A., Williams, C., Word, K., Sansone, S., Ma’ayan, A., Wagner, R., Foster, I., Kesselman, C., Brown, C. T., & White, O. Technical Report Bioinformatics, November, 2021.
Making Common Fund data more findable: Catalyzing a Data Ecosystem [link]Paper  doi  abstract   bibtex   
Abstract The Common Fund Data Ecosystem (CFDE) 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 catalog that ingests metadata from individual Common Fund Program’s Data Coordination Centers (DCCs) 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 types and metadata terms used by the individual DCCs and is designed to enable easy expansion to accommodate new data types.
@techreport{charbonneau_making_2021,
	type = {preprint},
	title = {Making {Common} {Fund} data more findable: {Catalyzing} a {Data} {Ecosystem}},
	shorttitle = {Making {Common} {Fund} data more findable},
	url = {http://biorxiv.org/lookup/doi/10.1101/2021.11.05.467504},
	abstract = {Abstract
          The Common Fund Data Ecosystem (CFDE) 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 catalog that ingests metadata from individual Common Fund Program’s Data Coordination Centers (DCCs) 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 types and metadata terms used by the individual DCCs and is designed to enable easy expansion to accommodate new data types.},
	language = {en},
	urldate = {2022-01-14},
	institution = {Bioinformatics},
	author = {Charbonneau, Amanda L and Brady, Arthur and Canchi, Saranya and Carter, Robert and Chard, Kyle and Clarke, Daniel J.B. and Creasy, Heather H and D’Arcy, Mike and Giglio, Michelle and Gingrich, Alicia and Harris, Rayna M and Hodges, Theresa K and Jeon, Minji and Kropiwnicki, Eryk and Lim, Marisa C.W. and Liming, R. Lee and Mandal, Meisha and Munro, James B and Nadendla, Suvarna and Romano, Cia and Rocca-Serra, Philippe and Schuler, Robert E. and Waldrop, Alex and Williams, Cris and Word, Karen and Sansone, Susanna-Assunta and Ma’ayan, Avi and Wagner, Rick and Foster, Ian and Kesselman, Carl and Brown, C. Titus and White, Owen},
	month = nov,
	year = {2021},
	doi = {10.1101/2021.11.05.467504},
}

Downloads: 0