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.
offer an aggregate summary of open practices across a large corpus of published articles, with breakdowns by journal, publisher, funder, county, and institution—illuminating trends, establishing benchmarks, and informing top-level strategy.
scan each individual manuscript and return an in-depth compliance report tailored to specific requirements, complete with personalized guidance to help researchers fulfill requirements—saving staff time and providing much-needed support.
triages manuscripts in seconds, identifying and flagging indicators of open science practices and missed opportunities, allowing publishers to focus editorial attention where it’s needed, and implement automated workflows.
Which DataSeer tool best meets your needs?
| Purpose | Measure open science across a large corpus | Monitor policy compliance and help authors succeed | Triage manuscripts for open science practice in seconds |
| Results & Reporting | Aggregate 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 applications | Benchmark, 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 Users | Publishers, institutions, funders | Funders, publishers | Publishers, institutions |
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