Mendeley Data Douglas Engelbart release

As part of the December 2019 Douglas Engelbert release, we have updates to Mendeley Data Search and Repository.


Mendeley Data Search

  • For institutions: increased the dataset corpus with an institutional association

As part of our Margaret Oakley Dayhoff release in October 2019 we introduced an integration between the Mendeley Data Search API and Elsevier’s Research Information Management System Pure which enabled Pure users to have visibility of datasets published by researchers in their institutions. We continually enhance the enrichment of our dataset corpus, and have now attributed over one million datasets to institutions. This important milestone, makes it simpler for Pure users to clearly identify datasets produced by their own researchers.

  • For researchers: improvements to search experience

Previously we indexed 37 repositories with over 10 million datasets. As part of this release, we now have over 1,800 repositories and over 20 million datasets indexed.

  • For researchers: enhancements to advanced search, i.e. Field Code modifiers

Advanced search allows users to construct targeted queries using Field Codes (e.g. TITLE(xxxx), AUTHOR(xxxx), AUTHOR_ID(xxxx) and many others), and boolean operators (AND, OR or NOT). With this release, we further improved the advanced search experience by allowing targeting an exact match of the text being provided by a Field Code. This can be achieved by using {} or "", e.g. TITLE({xxxx}) or TITLE("xxxx"). For a full explanation of the advanced search syntax, visit https://data.mendeley.com/faq.

Mendeley Data Repository

  • For librarians: create and publish collections of datasets

Librarians at customer institutions now have the ability to publish collections of datasets so that they can gather and share data on a particular theme or topic. Datasets from any repository can be added to collections. Collections are visible within an institutional showcase page, and are  fully searchable.

screenshot-of-Mendeley-Data-Collections-web
  • For institutions: enhanced moderation including dataset review, checks and editing

To help ensure a high quality of data outputs, institutional moderators can now edit the basic metadata of datasets title and description - before approving them for publication. In the futurewe plan to introduce additional  metadata field editing option.

screenshot-of-enhanced-moderation-including-dataset-review

  • For institutions: administration capability

Institutional administrators are now provided with an admin dashboard where they can view and manage datasets within their institutional data repository, link datasets to their associated articles, and provision users at their institution with admin or moderator roles as needed. Further admin capabilities are planned in forthcoming releases.

screenshot-of-administration-capability-list
screenshot2-of-administration-capability-list