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OIA Key Attributes DRAFT. February 16, 2011. Contributors. Michael Ackerman, NLM Rick Avila, Kitware Andy Buckler, Buckler Biomedical Terry Yoo, NLM ?. Key Attributes. Quality of the data curation process Speed to post datasets Support for imaging data types and metadata
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OIA Key AttributesDRAFT February 16, 2011
Contributors • Michael Ackerman, NLM • Rick Avila, Kitware • Andy Buckler, Buckler Biomedical • Terry Yoo, NLM • ?
Key Attributes • Quality of the data curation process • Speed to post datasets • Support for imaging data types and metadata • Robust querying and ease of performing a download • Long-term integrity and support • Advanced computing services
Quality of the data curation process • Anonymization support • Validate/verify that de-identification was successful • Example: BIRN DUP application that de-identifies • Metadata preparation tools • Tools for efficient capture and organization of metadata • Utilization of common nomenclature • Example: OSA ISP metadata tool, Ontologies: BRDG, imaging biomarker ontology, AIM, … • NLM: Numerous ontologies being developed – this must be considered carefully. • Revision control • Apply revision control concepts to data elements • Examples: Commercial institutions do this routinely. EHRs. NBIA may have this capability (Eliot Siegel). • Capturing provenance • Capturing important information on the acquisition process is needed • Examples: Perhaps “data papers” will help • There are also goal specific requirements
Speed to post datasets • [To be discussed on the next call]