DataSearch is a prototype research data search engine, developed by Elsevier’s Research Data Management team. They are interested in exploring what a search engine for research data would look like (as opposed to a web search engine or a document search engine), and are talking with users and data providers about their needs and interests. They are indexing images, tables and supplementary data from (Elsevier or Open Access) content sources, and are considering these to be research data components. They are also indexing a series of domain-specific repositories, as well as non-domain specific ones. As of June 2016, they are (completely or partially) indexing the following content sources: a) Tables, figures and supplementary data associated with papers in ScienceDirect, arXiv and PubMed Central; and b) NeuroElectro, Dryad, PetDB, ICPSR, Harvard Dataverse and ThemoML at NIST Thermodynamic Research Center (TRC). They hope to add more content sources in the future. This will be added to the tools section of Research Resources Subject Tracer™. This will be added to Academic and Scholar Search Engines and Sources white paper.
posted by Marcus Zillman |
3:18 AM
