Nano WG Meeting September 12, 2019
Two years ago, a community survey resulted in a sketch of a linked data approach to nanosafety research . Interoperability of linked data enables the reuse, but linking databases is not trivial. Many resources are simply not FAIR enough for reuse yet, and, for example, lack identifiers, making it impossible to link (find) data. Seven years ago Wikidata was established as a machine readable database, to solve similar issues Wikipedia had (it was hard to link the different wikipedias).
In the past three years, Wikidata increasingly presents itself as piece of the puzzle, following the example set by DBPedia in the Linked Open Data Cloud. This presentation highlights a few personal examples of how Wikidata can help the integration of nanosafety research. First, I will outline how Wikidata can help make data more findable. Examples here include OECD Testing Guidelines and the JRC representative industrial nanomaterials. Second, the talk will outline how the EU NanoSafety Cluster projects can be modeled in Wikidata and the underlying patterns visualized. Finally, I will show how Wikicite and Scholia can help make our scholarly research literature more FAIR. Here, Wikidata can act as a MESH keyword approach on steroids. Oh, as a teaser, here's steroids in Wikidata visualized with Scholia: https://tools.wmflabs.org/scholia/chemical-class/Q177911.
This work received funding from the European Union’s Horizon 2020 research and innovation programme via the NanoCommons project under grant agreement No 731032 and eNanoMapper project under grant agreement No 604134, and from the Alfred P. Sloan Foundation under grant number G-2019-11458.
Researchers should cite this work as follows:
National Cancer Institute