Published November 22, 2016
| Version v1
Poster
Open
Metadata mapping in bioCADDIE: challenging cases
Authors/Creators
- Zong, Nansu1
- Guijiarro, Diana1
- Wong, Sze Nga1
- Soh, Shao Ling1
- Khan, Muhammad1
- Kim, Hyeon-eui1
- Grethe, Jeffrey S.1
- Ozyurt, Burak1
- Xu, Hua2
- Chen, Xiaoling2
- Liu, Ruiling2
- Gururaj, Anupama2
- Soysal, Ergin2
- Li, Yueling1
- Farcas, Claudiu1
- Gonzalez-Beltran, Alejandra3
- Rocca-Serra, Philippe3
- Fore, Ian4
- Margolis, Ronald4
- Alter, George5
- Sansone, Susanna-Assunta3
- Ohno-Machado, Lucila1
- 1. University of California, San Diego, CA
- 2. University of Texas Health Science Center at Houston, TX
- 3. University of Oxford, UK
- 4. National Institutes of Health, Bethesda, MD
- 5. University of Michigan, Ann Arbor, MI
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.
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