DataSeer Smooths the path to shared research data

Using data science to promote data sharing

We’ve developed Artificial Intelligence (AI) and Natural Language Processing (NLP) solutions to assess articles and identify related datasets. Our reporting enables funders, publishers, and institutions to measure adoption across the research community, track policy and enforce compliance, and introduce systematic interventions to help researchers successfully share their data.

And we’ve gone beyond data alone, expanding our service to provide insight into a range of open science practices including code sharing, protocol sharing and reuse, study registration, preprint posting, use of open identifiers, and more.

The importance of open

Why measuring open science matters for your business

Data sharing and other open science practices demonstrate integrity and transparency, empower validation and reanalysis, and contribute to a more efficient and collaborative research ecosystem. Understanding and encouraging openness is also vitally important to the success of scholarly stakeholders such as funders, publishers, and institutions.

For funders, a research publication that includes raw research outputs, methods and protocols is more impactful and offers a better return on investment. That’s part of the reason grant-makers increasingly mandate data sharing and other open science practices.

Publishers who review and disseminate scholarly research need effective ways to check for policy compliance, encourage adoption, and evaluate and showcase non-article research content.

Institutions that rely on grant funding to help fuel their research programs have an incentive to ensure that their researchers have the tools and information they need to meet mandated requirements, and uphold the highest standards of research integrity.

How DataSeer can help

Explore DataSeer’s fast, efficient, and scalable reporting options

DataSeer offers a suite of NLP solutions to help funders, institutions, and publishers meet the challenges of fulfilling open science policy requirements and promoting more open, impactful, and reliable science.

Which DataSeer tool best meets your needs?

Open Science MetricsCompliance ChecksDataSeer SnapShot
PurposeMeasure open science across a large corpusMonitor policy compliance and help authors succeedTriage manuscripts for open science practice in seconds
Results & ReportingAggregate data summarizing open science practice across thousands of published articles.Detailed, article-specific reports tailored to your requirements, with clear revision instructions.A real-time scan of open science adoption and missed opportunities among submissions.
Common applicationsBenchmark, set goals, measure progress, and see how you stack up against policy and peers.Save countless editorial hours, and coach authors to fulfill open science mandates and FAIR standards.Direct editorial attention where it’s needed, and trigger automated interventions.
Top UsersPublishers, institutions, fundersFunders, publishersPublishers, institutions

Purpose

Measure open science across a large corpus

Results & Reporting

Aggregate data summarizing open science practice across thousands of published articles.

Common applications

Benchmark, set goals, measure progress, and see how you stack up against policy and peers.

Top Users

Publishers, institutions, funders

Purpose

Monitor policy compliance and help authors succeed

Results & Reporting

Detailed, article-specific reports tailored to your requirements, with clear revision instructions.

Common applications

Save countless editorial hours, and coach authors to fulfill open science mandates and FAIR standards.

Top Users

Funders, publishers

Purpose

Triage manuscripts for open science practice in seconds

Results & Reporting

A real-time scan of open science adoption and missed opportunities among submissions.

Common applications

Direct editorial attention where it’s needed, and trigger automated interventions.

Top Users

Publishers, institutions

Feedback

What our partners are saying