Note: At the present time there is no charge to access the DataSearch beta. What about long term? Elsevier’s own words on the future of product at the bottom of this post.
You can search for research data across numerous domains and various types, from a host of domain-specific and cross-domain data repositories.
Mass search engines are ubiquitous and useful; however, when it comes to specific information tailored to the needs of the modern researcher, a more focused application is required. In response to this need, Elsevier has created DataSearch. Drawing on reputable repositories of information across the internet, researchers can readily find the data sets they need to accelerate their work.
The post goes on to invite users to join the DataSearch user panel.
Read the Complete Blog Post
Selected Answers From the DataSearch FAQ:
As of June 2016, we are (completely or partially) indexing the following content sources:
- Tables, figures and supplementary data associated with papers in ScienceDirect, arXiv and PubMed Central
- NeuroElectro, Dryad, PetDB, ICPSR, Harvard Dataverse and ThemoML at NIST Thermodynamic Research Center (TRC)
We have a number of criteria to select repositories to index, including the number of users, the ease of our ability to index it and relationships we have with data repository managers.
Cost? The Future?
At the moment, DataSearch is not a commercial product. The business model is not finalized, but we are exploring how we might integrate it with our other offerings, such as Mendeley Data, to provide research data management solutions. We are also interested in talking to data repositories, to see if we can combine efforts regarding data search options.
Direct to Complete DataSearch FAQ