ctrlnum 167902
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Zong, Nansu</creator><creator>Guijiarro, Diana</creator><creator>Wong, Sze Nga</creator><creator>Soh, Shao Ling</creator><creator>Khan, Muhammad</creator><creator>Kim, Hyeon-eui</creator><creator>Grethe, Jeffrey S.</creator><creator>Ozyurt, Burak</creator><creator>Xu, Hua</creator><creator>Chen, Xiaoling</creator><creator>Liu, Ruiling</creator><creator>Gururaj, Anupama</creator><creator>Soysal, Ergin</creator><creator>Li, Yueling</creator><creator>Farcas, Claudiu</creator><creator>Gonzalez-Beltran, Alejandra</creator><creator>Rocca-Serra, Philippe</creator><creator>Fore, Ian</creator><creator>Margolis, Ronald</creator><creator>Alter, George</creator><creator>Sansone, Susanna-Assunta</creator><creator>Ohno-Machado, Lucila</creator><date>2016-11-22</date><description>The metadata mapping workflow in data ingestion pipeline of bioCADDIE (biomedical and healthCAre Data Discovery Index Ecosystem) allows the different biomedical resources to be described with a unified and coherent metadata model, DATS (DAta Tagging Suite). However, we encountered several challenges during the process due to the differences in how the metadata are structured and what information the metadata are designed to capture between various data repositories (i.e., source data repositories) and DATS. In this presentation we introduce the method used in the metadata mapping and the challenges we encountered during the process of mapping.</description><identifier>https://zenodo.org/record/167902</identifier><identifier>10.5281/zenodo.167902</identifier><identifier>oai:zenodo.org:167902</identifier><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><subject>BD2K_AHM</subject><subject>bioCADDIE</subject><subject>metadata mapping</subject><title>Metadata mapping in bioCADDIE: challenging cases</title><type>Journal:Proceeding</type><type>Other:poster</type><recordID>167902</recordID></dc>
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author Zong, Nansu
Guijiarro, Diana
Wong, Sze Nga
Soh, Shao Ling
Khan, Muhammad
Kim, Hyeon-eui
Grethe, Jeffrey S.
Ozyurt, Burak
Xu, Hua
Chen, Xiaoling
Liu, Ruiling
Gururaj, Anupama
Soysal, Ergin
Li, Yueling
Farcas, Claudiu
Gonzalez-Beltran, Alejandra
Rocca-Serra, Philippe
Fore, Ian
Margolis, Ronald
Alter, George
Sansone, Susanna-Assunta
Ohno-Machado, Lucila
title Metadata mapping in bioCADDIE: challenging cases
publishDate 2016
topic BD2K_AHM
bioCADDIE
metadata mapping
url https://zenodo.org/record/167902
contents The metadata mapping workflow in data ingestion pipeline of bioCADDIE (biomedical and healthCAre Data Discovery Index Ecosystem) allows the different biomedical resources to be described with a unified and coherent metadata model, DATS (DAta Tagging Suite). However, we encountered several challenges during the process due to the differences in how the metadata are structured and what information the metadata are designed to capture between various data repositories (i.e., source data repositories) and DATS. In this presentation we introduce the method used in the metadata mapping and the challenges we encountered during the process of mapping.
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