Introducing Elsevier DataSearch – Beta Two

Elsevier DataSearch has been updated and improved.

Introduction

Elsevier DataSearch (https://datasearch.elsevier.com) is a data search engine that allows scientists and researchers to search for many different data types and formats across a variety of domain-specific and cross-domain institutional data repositories and other data sources. Results display datasets in a unified way to facilitate finding relevant and useful research data, and allowing users to quickly preview and assess data in-situ before viewing in the destination repository.  By generating previews of the actual data inline (e.g., spreadsheets, images, interactive maps, etc.), DataSearch helps users scan through multiple potentially interesting datasets much faster.  DataSearch indexes both metadata and data to facilitate the matching of queries to objects described in the research.

DataSearch is one of the complementary offerings in Elsevier’s Mendeley Data Platform for Institutions.

Beta Two

After the initial launch in June 2016, we gathered feedback from users to make iterative improvements in the search experience, especially around relevancy and ranking.  Users can also facet by data type, data source, data source type and publication date. Development is in progress to soon allow users to facet by subject classification, based on Elsevier’s OmniScience taxonomy.

Data sources covered by DataSearch now include:

Many more data sources will be added in the coming months, including life sciences repositories.

If you would like to have your institution’s data repository, local data and /or local active data indexed by DataSearch, please contact us at datasearch-support@elsevier.com

APIs

DataSearch has a “Pull” API that allows users to embed DataSearch results and data previews in their applications. Development is in progress for a “Push” API that will soon allow any repository to push data directly to DataSearch to make it discoverable and previewable.

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