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Data Monitor

Data Monitor: Track and analyze your institutional research data records

Data Monitor draws on millions of research data records stored in 2,000+ repositories to give your institution visibility of your entire research data output.

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Data Monitor takes the hard work out of research data management

Why Data Monitor?

  • Identifies and harvests your research data records

    automatically, saving you time and reducing the

    errors that creep in with manual tracking.

  • Cleans and enriches the records so you can match

    more data to your institution, your researchers and

    their publications.

  • Integrates with RIMSs, CRISs and IRs for reporting

    and showcasing.

  • Supports monitoring of compliance with national,

    funder, publisher or institutional RDM policies.

  • Provides insights for institutional open science and

    RDM policies and improves your data lifecycle support for researchers.

Download factsheet(opens in new tab/window)

Female IT technician

Why is identifying research data important?

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.

Three colleagues reviewing data together

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

Infographic showing how Data Monitor works

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.

Download the Content and Data Policy(opens in new tab/window).

Data Monitor content policy thumbnail

Accessing your institution’s data records

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.

Integration

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.

Read the case study(opens in new tab/window)

Case Study: University of Groningen

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.

Read the case study(opens in new tab/window)

Case Study: University of Canberra

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Track data

Keep track of institutional data automatically.
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Monitor compliance

Support monitoring of compliance with national/funder policies and inform future institutional policies.
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Understand resources

Find out how faculty use external resources, and improve the data lifecycle support for researchers.

"Finding research data manually takes time – it’s not sustainable. Data Monitor has automated the process, which is a huge step forward for us. And the link between Data Monitor and Pure is key.”

Christina Elsenga

CE

Christina Elsenga

Scientific Information Specialist, University of Groningen, The Netherlands

Are you ready to track and analyze your institutional research data?

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