95% of data re-use is invisible using traditional citation-based detection methods. We're changing that. The Data Reuse LLM analyzes articles to detect reuse even when references are incomplete, indirect, or unstructured. bit.ly/4cEVmUd #opendata #openscience #scholcomm #scholcomms

It makes intuitive sense that authors are most likely to share data when they're confident that the data will stand up to scrutiny. Now, a new analysis indicates that surmise is accurate. dataseer.ai/2026/01/29/p...

DataSeer is headed to The London Book Fair next month! Be sure to say hello to our founder and CEO Tim Vines! #LondonBookFair #BookFair2026 #opendata #openscience #openaccess #datasharing #researchintegrity

Great to see @imperialcollegeldn.bsky.social using the PLOS Open Science Indicators to analyze open research practices across their institution. Insightful work from @yozkan.bsky.social using our dataset with @dataseerai.bsky.social.

Want authors to abide by your journal data policy? Get DataSeer SnapShot. Available in Aries Editorial Manager, KGLSmartReview, & Silverchair ScholarOne manuscripts. Additional integrations coming soon. dataseer.ai/snapshot/ #datasharing #opendata #datapolicy #lovedata26

Early sharing of research through conference presentations may indicate quality, trustworthiness: "honest signals of a researcher’s willingness to expose their work to scrutiny" scholarlykitchen.sspnet.org/2026/01/28/p... @dataseerai.bsky.social

An analysis of @plos.org articles suggests that #openscience behaviors serve as probabilistic indicators of trustworthiness. Transparency in #scholcomm functions as "honest signals" indicating a researcher’s willingness to expose their work to scrutiny — or not. bit.ly/4k7DnYc #opendata #openacess

As the tide of slop rises, signals of integrity will become more important. Choosing open science practices is one such signal.

Researchers who are confident in the robustness of their work and willing to have it scrutinized are more likely to engage in #openscience best practices. That has useful operational implications for #scholcomms

“Open science and integrity requirements are increasingly complex to manage at scale,” said Dror Kolodkin-Gal of @proofigai.bsky.social. We help address that, with one-stop automated manuscript checks for #datasharing, #imaginemanipulation, #plagiarism + more! bit.ly/4qLpAsY

📨📨📨 The DataSeer quarterly newsletter is coming soon! Sign up now to receive the next issue... dataseer.ai#newsletter #opendata #opencode #openscience #researchintegrity #scholcomm #scholcomms

DataSeer is joining @proofigai.bsky.social as a partner on their PubShield program, enabling researchers to automatically check their manuscripts for #OpenScience policy compliance. bit.ly/49Vc8MW #opendata #researchintegrity #openresearch #scholcomm #scholcomms

In 2025 @science.org & DataSeer collaborated on an automated #MDAR checklist. Now it's being rolled out across four journals: Science, Science Translational Medicine, Science Immunology, and Science Signaling. www.science.org/content/blog... #openaccess #scholcomm #scholcomms #openreserach

In the first #ScienceEditorial of 2026, H. Holden Thorp focuses on #AI, discussing how it “will allow the scientific community to do more if it picks the right ways to use it.” He revisits the journals’ policies and approaches related to AI. Read more: https://scim.ag/4qzSdJ5

In 2024, @science.org partnered with DataSeer to investigate rates of data and code sharing. Now the results are in. www.science.org/content/blog... #opendata #openresearch #opencode #openaccess #openscience #datasharing #scisky

Leveraging metrics to drive data sharing at the Science journals | Science | AAAS https://www.science.org/content/blog-post/leveraging-metrics-drive-data-sharing-science-journals

Over the past two years, SnapShot has evolved from a simple vision into a sophisticated, flexible & affordable AI editorial technology. Now it's ready to use — everyday, at every journal, of every size, across Editorial Manager, ScholarOne, Kriyadocs & soon other publishing platforms bit.ly/3MDbjzm

Be sure to catch Time Vines at the innovator fair today, at the @stmassoc.bsky.social Innovation & Integrity Days in London

DataSeer & @silverchairnews.bsky.social are excited to announce a new partnership agreement. The relationship will make the AI-powered editorial screening tool DataSeer SnapShot available to journals using ScholarOne. bit.ly/4iL4urm #openscience #openresearch #openaccess #opendata #datasharing

The connection between @dataseerai.bsky.social SnapShot and EM enables efficient article screening at scale early in the editorial workflow, helping to improve research quality and policy compliance: bit.ly/4nmBcRr

We're excited to present alongside these #scholcomms innovators next week at the @stm.info Innovation & Integrity Fair in London

In 2024, DataSeer and @cos.io entered into a partnership designed to help support COS’ pioneering Lifecycle Journal. A little over a year after our partnership began, published articles that have undergone customized DataSeer checks are now appearing in the journal! dataseer.ai/2025/12/02/r...

Looking forward to attending the STM Innovation & Integrity conference, coming up in a few short weeks, where Tim will be among the innovators giving presentations @stmassoc.bsky.social #opendata #openscience #researchintegrity #scholcomm #scholcomms

Can AI help expedite manuscript checks and increase policy compliance? We think so... Read more in our guest blog on @silverchairnews.bsky.social www.silverchair.com/news/ai-powe... #scisky #openaccess #openscience #opendata #scholcomm

Tim's recent essay on @scholarlykitchen.bsky.social made its way into Journalology! ☺️ We should point out, though, that DataSeerAI's fully automated Snapshot makes pushing for open data very cheap (on the order of $2-4 per article), whether that's before or after submission. #scholcomm #scholcomms

Our guest post on the @silverchairnews.bsky.social blog explores how AI can make editorial work more sustainable — complementing & supporting editor strengths while reducing the tedious & repetitive aspects www.silverchair.com/news/ai-powe... #scholcomm #scholcomms #scisky #openaccess #openscience

#scholcomms shouldn't be a popularity contest. Chasing ever more submissions is having a serious deleterious effect on our industry, argues DataSeer founder & CEO Tim Vines, in this blog, republished from @scholarlykitchen.bsky.social dataseer.ai/2025/11/06/m...

A year ago, @tandfresearch.bsky.social teamed up with DataSeer to investigate #OpenScience behavior across their portfolio. Now results are in — and they’re higher than expected. Read the full report ▶️ insights.taylorandfrancis.com/research-imp... #scisky #scholcomm #scholcomms #openaccess

The focus on rising submissions as a sign of a healthy journal has led us into a terrible mess, says DataSeer founder and CEO Tim Vines. #scholcomm #scholcomms

Adoption of open research practices "exceeding expectations" - Research Information https://www.researchinformation.info/news/adoption-of-open-research-practices-exceeding-expectations/

Why partner with DataSeer? Research integrity, streamlined editorial office operations, and reliable business intelligence are among the top reasons. Read what Maya Bader of @lupusresearch.bsky.social had to say: #opendata #openaccess #openscience #scisky #dataavailability #openresearch

Open Science Metrics tell the full story of research integrity and transparency on a macro scale delivering top-level stats on metrics like data availability, code sharing, preprints and more. Read more ➡️ dataseer.ai/open-science... #opendata #opencode #openaccess #openresearch #openscience

The results of our joint investigation into #opendata adoption at @tandfresearch.bsky.social are now live in this detailed report. insights.taylorandfrancis.com/research-imp... #openaccess #oaweek #openscience #datasharing

Adoption of open research practices “exceeding expectations” www.researchinformation.info/news/adoptio... Analysis by Taylor & Francis and DataSeer finds 52% of sampled articles include a data availability statement @tandfresearch.bsky.social @dataseerai.bsky.social

For #OpenData to become standard, we need practical ways to monitor, measure, support, and screen for compliance. DataSeer provides practical AI-powered editorial solutions for scalable open research implementation. dataseer.ai #openaccess #openresearch #oaweek #openaccessweek

Open Access Week highlights the power of free, immediate access to research by ensuring science benefits all. Proud to join @parkinsondotorg.bsky.social, @parkinsons.org.uk, @cureparkinsons.org.uk, @alleninstitute.org, @dataseerai.bsky.social, @strategiesos.bsky.social, @orfg.bsky.social & others 🔓

We're kicking off the Frankfurt Bookfair at the Aries Systems Exchange Summit on Monday, followed by the STM Conference on Tuesday. Looking forward to seeing you there! #scholcomm #FrankfurterBuchmesse #bookfair #openaccess #opendata #openscience @ariessystems.bsky.social @stmassoc.bsky.social

What if performing sophisticated open science editorial screening were faster, more consistent, less demanding, and more affordable? DataSeer SnapShot makes it possible. SnapShot is an AI technology solution developed for and by scholarly journal editors. Explore ➡️https://dataseer.ai/snapshot/

What's new at DataSeer? Sign up for our newsletter to get the latest updates on partnerships, technology, conferences, and more. Sing up on our website at: dataseer.ai#newsletter

The trouble with so many AI solutions in publishing? They lack an understanding of journal editorial workflows. We're different. Our AI-powered editorial tools are developed specifically for and by journal editors. Learn more ▶️ dataseer.ai #opendata #openaccess #scholcomm #scholcomms #journals

The connection between @dataseerai.bsky.social SnapShot and Editorial Manager enables efficient article screening at scale early in the editorial workflow, helping to improve research quality and policy compliance: bit.ly/4nmBcRr

DataSeer and the @lupusresearch.bsky.social are proud to announce a new partnership designed to advance data and resource sharing to accelerate progress toward new treatments. READ MORE ➡️ bit.ly/DataSeer-Lupus #openscience #opensciencemetrics #opendata #lupus #datasharing

Let's get together in Frankfurt! Connect with us to discuss AI automation solutions developed specifically for and by journal editors. Book a meeting ➡️ calendly.com/tim-dataseer... #scholcomm #FrankfurterBuchmesse #bookfair #openaccess #opendata #openscience

Looking forward to seeing everyone tomorrow! #peerreviewweek

It was great to see KGL Smart Review name checked today during the #ALPSP2025 Innovation Award Finalist pitch by @tandfresearch.bsky.social whose collaboration with our integration partner @dataseerai.bsky.social's editorial screening solution has been nominated for advancing research integrity.

Public trust in science increases when underlying data are shared. But often, data availability requests go nowhere. How can we create the kind of high-quality, discoverable, metadata rich data lakes we need to enable reuse and spur discovery? strategiesos.org/systematic-p... #opendata

Take a closer look at our joint pilot with @tandfresearch.bsky.social, now shortlisted for the #ALPSP Innovation award. Using SnapShot, we rapidly assess whether submitted manuscript meet T&F #datasharing requirements and policy exemptions #opendata #openaccess dataseer.ai/2025/09/08/s...

It's almost time for @peerreviewweek.bsky.social! Be sure to catch DataSeer founder and CEO Tim Vines Monday, September 15, 2025, at 9 A.M. EST in a panel cohosted by @igiglobal.bsky.social, eContent Pro, @reviewercredits.bsky.social & OSEI Register ➡️ bit.ly/3V3IVat #openscience #openaccess

Together with our partners at @tandfresearch.bsky.social we've been shortlisted for the #ALPSP Innovation in Publishing award. ➡️Read more about the work in this blog post by our collaborator Rebecca Taylor-Grant #opendata #openscience #openaccess

If this is how scholarly publishing feels for you right now, you're not alone. We're expected to be faster, to eliminate research and publication fraud, and do it all with fewer resources. The solution? AI support for the editorial office. dataseer.ai/snapshot/