Abstract
The availability of high-quality metadata is key to facilitating discovery in the large variety of scientific datasets that are increasingly becoming publicly available. However, despite the recent focus on metadata, the diversity of metadata representation formats and the poor support for semantic markup typically result in metadata that are of poor quality. There is a pressing need for a metadata representation format that provides strong interoperation capabilities together with robust semantic underpinnings. In this paper, we describe such a format, together with open-source Web-based tools that support the acquisition, search, and management of metadata. We outline an initial evaluation using metadata from a variety of biomedical repositories.
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Notes
- 1.
The @-prefixed notation follows JSON-LD; see Sect. 3.2.
- 2.
A complete template model specification can be found at http://metadatacenter.org/cedar-template-model.
- 3.
A JSON Schema validator can be found at http://www.jsonschemavalidator.net.
- 4.
A useful online JSON-LD tool can be found at http://json-ld.org/playground.
- 5.
The CEDAR Workbench is available at https://cedar.metadatacenter.net.
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Acknowledgments
CEDAR is supported by the National Institutes of Health through an NIH Big Data to Knowledge program under grant 1U54AI117925. NCBO is supported by the NIH Common Fund under grant U54HG004028. We appreciate the collaborations offered by the ImmPort, BioSharing, HIPC, and LINCS communities.
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O’Connor, M.J., Martínez-Romero, M., Egyedi, A.L., Willrett, D., Graybeal, J., Musen, M.A. (2016). An Open Repository Model for Acquiring Knowledge About Scientific Experiments. In: Blomqvist, E., Ciancarini, P., Poggi, F., Vitali, F. (eds) Knowledge Engineering and Knowledge Management. EKAW 2016. Lecture Notes in Computer Science(), vol 10024. Springer, Cham. https://doi.org/10.1007/978-3-319-49004-5_49
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