Verify research integrity and practices, with Trust Marker analysis

Access data uncovering the presence of Trust Markers, the hallmarks of research integrity and open science, in over 33 million publications since 2011.

Dubious content and disinformation damages not only science itself, but also public trust in science and your organization’s reputation.

Dimensions Research Integrity helps to solve it. It’s a powerful way to ascertain author legitimacy, ensure compliance with research reporting guidelines, and reduce reputational risk.

What the Dimensions Research Integrity Dataset can do for you

  • Examine articles, book chapters, conference proceedings and preprints, using Trust Markers to assess research transparency and reproducibility.
  • Get access to data about what publications contain Trust Markers, the hallmarks of research integrity and open science (data availability statements, competing interest statements, and other indicators of trustworthiness and reproducibility)
  • Analyze Trust Markers at the paper level, or aggregate by publisher, funder, or research institution
  • Identify trends in good research communication practices across publications connected to your organization, broken down by time, field of research, etc.
  • Compare research your organization to peers/competitors and to global/local trends
  • Track compliance of your organization’s publications with your own policies or with external policies (e.g. funder mandates)
  • Identifying research practices that are good topics for research integrity training, or well adopted practices that could become policy

The data accessible

  • Trust marker data for over 33 million publications
  • Indication of presence or absence of Trust Markers alongside deeper detail where this can be extracted
  • Metadata to allow analysis of organizational and competitor adoption of Trust Markers
  • IDs to link this data set to the full Dimensions on GBQ data set, allowing more complex analysis
  • Presence or absence of data availability statements
  • Data availability status (e.g. “supplementary files”)
  • Data repository keywords indicating tool adoption (e.g. “figshare”)
  • URLs linking to data repositories where available
  • Presence or absence of code availability statements
  • URLs linking to code repositories where available
  • Presence or absence of funding statements
  • Presence or absence of ethical approval statements
  • Presence or absence of competing interests statements
  • Presence or absence of author contribution statements
  • Verbs found in author contribution statements, indicating reasons for author inclusion (e.g. “analyzed”, “conceptualized”)

Technical details

The Dimensions Research Integrity Dataset on GBQ is available as a subscription offering. Get in touch with us for more information.

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