Mendeley Data Monitor project

(also known as Data Lighthouse)

Improving the discoverability of research data

One challenge often faced by research universities is developing and implementing solutions to ensure that researchers can find each other’s research & associated data. This research is often stored and shared in the various silos in the ecosystem (i.e. assigning appropriate ontologies, metadata, researcher associations). Some institutions have established internal repositories to help solve this challenge. At the same time, various open data repositories have grown with their own set of data and storage/retrieval options. Many scholarly publishers also now offer services to deposit and reference research datasets in conjunction with the article publication.

Data Monitor diagram - Mendeley | Elsevier solutions
Mendeley Data Monitor enables automation of processes currently performed manually by librarians and research managers to track research data sharing.

Making data available online can enhance the discovery and impact of research. In addition, many funders increasingly require that data from supported projects is placed in an online repository. Information gathered about research data can play a key role in the establishment of a data management plan to support grant proposals. In addition, the ability to reference details, such as ownership and content, about research data could assist in improved citation statistics for published research.

The Mendeley Data Monitor project is aimed to help university libraries and research offices gather and organize information about their own publications and research data to assist other researchers in finding the information wherever it is. The project is a collaboration between research institutions and Mendeley Data/Elsevier.

The goal of this project is to provide better mapping as to the location of research data with a system that:

  • Automatically inventories where datasets end up, provided the repository is able to be tracked;
  • Reaches out to researchers through automated e-mails and asks them questions about their research data as it associates to published peer-reviewed articles;
  • Tracks various data points (descriptions, file formats, ownership) of these research datasets.
  • Links the article bibliographic information in Scopus to relevant dataset(s) to facilitate data discoverability, re-use and citations.

Contact us if you have questions about this project.