Authors
Jamie Patricia McCusker, Sabbir M Rashid, Zhicheng Liang, Yue Liu, Katherine Chastain, Paulo Pinheiro, Jeanette A Stingone, Deborah L McGuinness
Publication date
2017/6/25
Book
Proceedings of the 2017 ACM on Web Science Conference
Pages
349-357
Description
Data curation for interdisciplinary collaborative science requires a new online web-based approach that integrates domain knowledge from multiple resources and enables in tela (in the web) interactive collaboration between data providers, domain specialists, and data analysts. The Children's Health Exposure Analysis Resource (CHEAR) is a resource for child development and environmental exposure data. The CHEAR Data Center has developed an ontology that integrates study and exposure data in a way that is consistent across the program, and integrates with many best practice relevant vocabularies and repository schemas. This includes the World Wide Web Consortium's recommended Provenance Ontology (PROV), Semanticscience Integrated Ontology (SIO), the Chemical Entities of Biological Interest (CheBI) ontology, the Uberon multi-species anatomy ontology, and the Units Ontology as the starting …
Total citations
20182019202020212022202321422
Scholar articles
JP McCusker, SM Rashid, Z Liang, Y Liu, K Chastain… - Proceedings of the 2017 ACM on Web Science …, 2017