The ability to search for, discover, reuse, and reproduce research data records is a crucial element of open science. Many funders now require researchers to share the research data they generate openly. But research shows that ~90 percent of public research data is hosted on external repositories.
Data Monitor offers institutions an easy way to identify and harvest their research data records and track whether relevant policy requirements have been met. And its interoperability ensures that research data records are visible, accessible and can be imported into other systems.
How we track research data
Unlike web or document search engines, Data Monitor’s sole focus is to track down research data records, and its algorithms are constantly learning and evolving.Data Monitor:
Harvests millions of metadata records from 2,000+ repositories
Normalizes them in line with the OpenAIRE schema
Cleans the metadata, e.g., removes duplicates and non-research data
Enriches the metadata with links to publications, authors and institutions, increasing the number of data records that can be matched to your organization
Data Monitor’s content policy
Data Monitor strives for comprehensive geographic and subject coverage and aims at the highest metadata completeness and accuracy. Decisions around which repositories we index are guided by our Content and Data Policy.
A free API gives your institution access to the source metadata of your research data records, before they have been cleaned and enriched.
Or you can subscribe to the Data Monitor Corpus and access records that have been cleaned and enriched by Data Monitor’s advanced technology.
The Data Monitor Corpus can be accessed directly or it can be integrated with Pure and Digital Commons (+ Digital Commons Data), enabling admins to import institutional data sets in their systems for reporting and showcasing.In addition, Data Monitor exposes an API that can be used for integration with other systems.
The Data Monitor pipeline
The Data Monitor product development team is continually seeking ways to enhance the tool’s features and functionality.
Data Monitor reduces the burden on teams tasked with RDM
Data Monitor has helped University of Groningen in the Netherlands grow the number of datasets in its Pure site from just over 600 to 3,000+. This not only supports compliance with the university’s policy, it also supports decision-making, reduces the burden on library staff, and helps the institution showcase its full range of faculties and disciplines.
Building an integrated research data management framework around Pure
The Australian Code for the Responsible Conduct of Research, which came into effect in 2019, places the primary onus of adherence on institutions and individual researchers. University of Canberra in Australia responded by designing an integrated, end-to-end research data management process for all researchers in which Data Monitor plays a key role.