compliance checks

Take the guesswork out of open science

Data sharing policies and open science mandates are important—but written policies tend to use broad, inclusive language, without the detailed information researchers need to successfully fulfill requirements. For publishers and funders, screening each piece of research by hand is staff intensive and unsustainable at scale.

DataSeer Compliance Checks analyze individual manuscripts and generate a detailed report tailored to your organization’s specific workflows and requirements, along with customized advice for researchers to follow in revisions.

Compliance Checks ensure your open policies are met and provide evidence of compliance, while freeing your team to focus their expertise where it’s needed most.

Personalize your workflow

How could Compliance Checks work at your organization?

Compliance Check workflows are customized to meet your specific policies, internal workflows, and priorities. Here’s an example of one possible journal workflow. Although this example focuses on data availability, we can also check for other open science practices, such as preprint posting or repository use.

Send manuscript to DataSeer

During Editorial Office checks (either at initial submission or revision) the manuscript is sent to DataSeer for analysis.

DataSeer analysis

DataSeer’s NLP tool catalogs the datasets, code objects, and (optionally) lab materials in the paper.

DataSeer checks that all datasets are public

That includes verifying links and accession numbers, and examining supporting information files.

Receive a report

DataSeer reports on the datasets and their sharing locations. If data have not been shared, the report provides researchers with advice.

Send a revision

Journal staff include the DataSeer report with the editorial decision letter for the manuscript.

Authors share, revise, and return

Staff may recheck manually, or reupload the revised manuscript to DataSeer to ensure that the requested steps have been completed.

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