Preparing data at the source to foster interoperability across rare disease resources

9Citations
Citations of this article
30Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The ability to combine heterogeneous data distributed across the globe is critically important to boost research on rare diseases, but it presents a number of methodological, representational and automation challenges. In this scenario, biomedical ontologies are of critical importance for enabling computers to aid in information retrieval and analysis across data collections. This chapter presents an approach to preparing rare disease data for integration through the application of a global standard for computer-readable data and knowledge. This includes the use of common data elements, ontological codes and computer-readable data. This approach was developed under a number of domain-relevant requirements, such as controlled access to data, independence of the original sources, and the desire to combining the data sources with other computational workflows and data platforms.

Cite

CITATION STYLE

APA

Roos, M., Martin López, E., & Wilkinson, M. D. (2017). Preparing data at the source to foster interoperability across rare disease resources. In Advances in Experimental Medicine and Biology (Vol. 1031, pp. 165–179). Springer New York LLC. https://doi.org/10.1007/978-3-319-67144-4_9

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free