Mapping across data sets: crosswalks, toll roads & one-way streets
Metadata provides one of the key pillars for the implementation of the FAIR principles. The latter are aspirational, in the sense that they describe a continuum of features, attributes, and behaviors that will enable us to fulfill their objective.
In this talk we’ll examine a case study that demonstrates the challenges faced when trying to link open data sets from different governmental healthcare organizations together with enriched literature to uncover hidden connections and insights.
The talk will be supported by a poster illustrating the hazards of navigating a safe path through the crosswalks.
Principal Solution Architect, Copyright Clearance Center
What is “FAIR”?
FAIR can improve both discoverability and reuse of digital resources and data. Research data that is findable, accessible, interoperable, and reusable, will allow scientists to uncover hidden connections and insights. The result of that has enormous potential – it could mean developing more personalized and targeted medicines for patients in need.
Breaking down the acronym:
Findability means that the data should be able to be found by an appropriate person at an appropriate time.
Accessible means that it’s accessible either internally through a license or publicly available.
Interoperable in terms of how the data is formatted. It’s standardized and annotated.
Reusable for both people and machines.
About the PDR
The Pharmaceutical Documentation Ring (P-D-R), founded in 1958, is an association whose members represent the scientific information departments of the leading international R&D-based pharmaceutical corporations. Since the late 1990s, the P-D-R have organised special meetings on key topics such as copyright, taxonomy and text mining. Special meeting invitations extend beyond the association to relevant vendors and suppliers.