Join the DataSeer mailing list ▶️▶️▶️ mailchi.mp/dataseer/dat... #opendata #openscience #scholcomm #openresearch #researchintegrit #scholcomms
Data sharing checks are often manual, time-consuming, and inconsistent. To automate this process at scale, EM is integrated with @dataseerai.bsky.social SnapShot - an open data policy assessment tool: vimeo.com/1189492994
DataSeer SnapShot
Integrated with EM, DataSeer SnapShot is an automatic data-assessment tool to cost-effectively screen Author open data sharing practices at scale
vimeo.com
Research assessment is more than articles and citations. Open practices can show how research is shared, reused, and made accessible. Explore these trends #OpenScienceIndicators with @dataseerai.bsky.social, now covering 187,400 open access articles. Explore the dashboard: plos.io/4oW0c3k
Angry emails. Every editor gets them. Most of the time, we try to help the author better understand the decision and move on. But for Tim Vines, one such message provided the spark for an idea that grew into something much bigger. bit.ly/4goTXmp #scholcomm #opendata #scholcomms #openaccess
That's a wrap on #EMUG2026! Thank you to those who attended and a special shout out to our fantastic guest speakers from: Clarke & Esposito @research-signals.bsky.social @proofigai.bsky.social @dataseerai.bsky.social The meeting recordings are now available: www.ariessys.com/support-and-...
“You should all be replaced by robots.” The angry-author email that inspired DataSeer and led to the development of Snapshot: An AI-powered compliance tool that could assess a manuscript in seconds, with over 96% accuracy. bit.ly/4goTXmp #scholcomm #journals #scholcomms #openscience #opendata
The inspiration behind DataSeer: How one angry author email started everything - DataSeer
“You should all be replaced by robots.” The angry-author email that inspired DataSeer and led to the development of
dataseer.ai
One more week until #EMUG2026! Don't miss our free two-day user group meeting to hear from the exciting guest speakers from @research-signals.bsky.social, @proofigai.bsky.social, @dataseerai.bsky.social, and Clarke & Esposito! Register now: bit.ly/41TVN6r
EMUG 2026 Guest Speakers Announced: Meet the Panelists! - Aries Systems Corporation
Mark your calendars for the 2026 virtual Editorial Manager User Group (EMUG) meeting on June 17-18! EMUG 2026 is structured into webinar-style sessions to offer our global user community a flexible an...
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What makes article-to-data citation such a powerful indicator of research quality? 1️⃣ For a data citation to happen, data must be data available, which by itself signals that the original authors were sufficiently confident in their findings to give others access to the underlying evidence.
Not all citations signal equal levels of trust. An ‘article to dataset to article’ citation implies that multiple researchers have validated the original work and built enough trust that they’re willing to base their own work and reputation on the reused data. READ MORE: bit.ly/4uUvtGi
Data reuse is the sincerest form of flattery - DataSeer
The most ‘trust dense’ citation is a data citation. Or, more fully, an ‘article to dataset to article’ citation. This specific kind of citation arises when an article generates new data and a subseque...
dataseer.ai
“… increasing the visibility of data reuse, and finally giving credit to authors that generate robust, reusable data will motivate all fields into doing a better job of sharing data.” @scholarlykitchen.bsky.social
DataSeer AI@dataseerai.bsky.social · 2mo agoThe latest SK post by Tim Vines discusses the level of trust inherent in a data citation, arguing that a data citation implies a much deeper relationship between the original article and the subsequent research than an article-to-article citation. #data #opendata #datasharing #scholcomm
The latest SK post by Tim Vines discusses the level of trust inherent in a data citation, arguing that a data citation implies a much deeper relationship between the original article and the subsequent research than an article-to-article citation. #data #opendata #datasharing #scholcomm
Society for Scholarly Publishing@scholarlypub.bsky.social · 2mo agoData Reuse is the Sincerest Form of Flattery - The Scholarly Kitchen
Looking forward to tomorrow's talk!
DataSeer AI@dataseerai.bsky.social · 2mo agoDataSeer founder and CEO Tim Vines will speak at the European Association of Science Editors (EASE) Summer Symposium Tuesday June 2. REGISTER NOW: ease.org.uk/ease-events/... #easeevents #easeeditors @easeeditors.bsky.social
DataSeer is excited to collaborate with Research Consulting in support of BioFAIR's new Monitoring and Evaluation project, which aims to establish a benchmark of FAIR adoption. bit.ly/4wWzqeG #FAIR #opendata #datasharing #researchintegrity @researchconsulting.bsky.social @biofair.bsky.social
DataSeer partners with Research Consulting to support BioFAIR monitoring and evaluation project - DataSeer
DataSeer is excited to work with Reserach Consulting to support BioFAIR in its new Monitoring and Evaluation project.
dataseer.ai
DataSeer founder and CEO Tim Vines will speak at the European Association of Science Editors (EASE) Summer Symposium Tuesday June 2. REGISTER NOW: ease.org.uk/ease-events/... #easeevents #easeeditors @easeeditors.bsky.social
We're thrilled to continue our partnership with Taylor & Francis Group as we take the next step in helping authors meet data-sharing requirements with ease. dataseer.ai/2026/04/15/t... #opendata #researchintegrity #openscience #scholcomm
Data sharing and integrity checks are often manual, time-consuming, and inconsistent. To automate this process at scale, Editorial Manager is integrated with @dataseerai.bsky.social SnapShot - an open data policy assessment tool: vimeo.com/1189492994
DataSeer SnapShot
Integrated with EM, DataSeer SnapShot is an automatic data-assessment tool to cost-effectively screen Author open data sharing practices at scale
vimeo.com
Are your journal's most skilled editors spending all their time on submission checks? It might be time for DataSeer SnapShot. SnapShot takes care of the boring stuff, so editors can focus on bigger questions. dataseer.ai/2025/07/29/d...
We’re making journal editorial offices more efficient, more consistent, and more able to tackle new and exciting challenges. Join us! - DataSeer
DataSeer SnapShot is an AI-powered editorial support technology that helps editors complete checklists faster, freeing their time
dataseer.ai
We are excited to take the next step in supporting improved transparency and research reporting alongside AAAS and Science Magazine. READ MORE ▶️▶️▶️ dataseer.ai/2026/04/08/a... @aaas.org @science.org #openscience #opendata #datasharing #openresearch #mdar #researchintegrity
Meet the panelists for #EMUG2026! Register for our free two-day user group meeting to hear from the exciting guest speakers on the agenda from @research-signals.bsky.social, @proofigai.bsky.social, @dataseerai.bsky.social, and Clarke & Esposito! bit.ly/41TVN6r
EMUG 2026 Guest Speakers Announced: Meet the Panelists! - Aries Systems Corporation
Mark your calendars for the 2026 virtual Editorial Manager User Group (EMUG) meeting on June 17-18! EMUG 2026 is structured into webinar-style sessions to offer our global user community a flexible an...
bit.ly
DataSeer is extending it's partnership with Taylor & Francis Group. We're working together to help T&F authors meet journal data-sharing requirements and perform data checks quickly, accurately, and at scale. READ MORE>>> bit.ly/3QdYfC9 #opendata #datasharing #openscience #openresearch
Taylor & Francis and DataSeer extend partnership helping authors to follow journal data requirements - DataSeer
Following a successful pilot, Taylor & Francis and DataSeer are extending their partnership to operationalize SnapShot
dataseer.ai
Did you know MDAR checklists can be completed from manuscripts in an entirely automated process? It's true! DataSeer and @aaas.org beta tested automated MDARs in 2024. Now we're piloting them on four journals, including @science.org www.researchinformation.info/news/aaas-an...
We're excited to extend our partnership with @aaas.org to pilot AI-powered pre-filled #MDAR checklists at @science.org #openscience #opendata #openresearch #scholcomm #scholcomms bit.ly/4t2O95I
AAAS expands DataSeer partnership with pilot to automate research reporting for Science - DataSeer
AAAS and DataSeer are collaborating to automate the generation of MDAR (Materials, Design, Analysis, and Reporting) checklists for manuscripts submitted to Science.
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We're thrilled to announce a new partnership with @carinaworkflow.bsky.social! The integration enables journals to easily implement AI Editorial support tools in any publishing platform. bit.ly/48dKkC3 #scholcomm #scholcomms #scisky #openaccess #opendata #openscience
DataSeer partners with TaskAdept to expand access to SnapShot Open Science checks - DataSeer
Automating editorial checks with DataSeer SnapShot is now simpler than ever, thanks to a new partnership with TaskAdept.
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What’s it like to use DataSeer SnapShot to check for #openscience policy compliance in @ariessystems.bsky.social Editorial Manager? We’re so glad you asked… www.youtube.com/watch?v=wMhX... #opendata #openresearch #scisky
SnapShot Walkthrough on Editorial Manager
YouTube video by DataSeer
youtube.com
Data reuse detection - a new AI tool from @dataseerai.bsky.social dataseer.ai/2026/03/12/u...
Uncovering hidden data reuse: New AI technology from DataSeer measures downstream impact of research data - DataSeer
DataSeer's Data Reuse LLM makes data a measurable, first-class research output, whose influence can be tracked beyond the paper in which it first appeared.
dataseer.ai
Does #openscience policy and investment really change researcher behavior? The data suggests: Yes. Following a recent policy push at the Michael J. Fox Foundation for Parkinson's Research the proportion of articles reusing data increased from 72% to 86%. bit.ly/4cEVmUd #opendata #scholcomm
Our eight-week training series on Assessing and Adopting #AI Tools starts next week! Build your AI literacy and learn to make better decisions in our eight-week course, faciliated by Jessica Miles and featuring expert speakers like Dan Berger (@apsphysics.bsky.social), Jeff Lang (FigureTwo),
It turns out, a small number of datasets account for a disproportionate share of downstream impact. In this example funded by MJFF 6 datasets were produced. 2 went on to be reused in 16 other studies published by MJFF. bit.ly/4cEVmUd #opendata #openscience #scholcomm #scholcomms #datasharing
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
Uncovering hidden data reuse: New AI technology from DataSeer improves the ability to measure the downstream impact of research data - DataSeer
DataSeer's Data Reuse LLM makes data a measurable, first-class research output, whose influence can be tracked beyond the paper in which it first appeared.
bit.ly