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#researchdata

1 post1 participant0 posts today
Dave Fenichel

Not always happily, I still welcome the access to knowledge of anthropocentric, real data. #Health and #labor and #economics and otherwise #social. #virology #covid

#humanData #actionableData #researchData #science #scienceNews #dataNews #biology #immunology #pathology #pediatrics #BLS #immunosupression #dataSupression #statistics #longCovid #longCovidKids

zeroes.ca/@datum/1149805325170

zeroes.cadatum (n=1) (@datum@zeroes.ca)A study tested kids long after they had (mostly mild) COVID-19. There were immune and heart changes: > increased immunoglobulin G (IgG) levels in all age groups and long-term changes in ECG. and it was *NOT* rare! Allergies more than tripled, and > They also exhibited various heart rhythm disorders (35%). ⚠️ 35% ! ⚠️ That was using **24-hour ECG monitoring** on **400 kids** - hard data from a large group! https://brieflands.com/articles/ircrj-161434 h/t https://mastodon.social/@augieray/114977184396073509 #LongCovidKids #LongCOVID #COVID19 #COVID #SARSSoV2 #CovidIsNotOver #pediatrics
Lambert Heller

Excellent interview by Katrin Schmermund with Anna Abalkina, published in Forschung&Lehre (Open Access, unfortunately only in German language) on Abalkina's research on paper mills. You can follow Abalkina on Bluesky, bsky.app/profile/abalkina.bsky.

The scale of academic misconduct is amazing, and to a certain degree it is now powered by AI. One almost unchallenged aspect of the problem is fake research data.

#papermills #researchdata #academicmisconduct #publishingreform
forschung-und-lehre.de/forschu

Bluesky SocialAnna Abalkina (@abalkina.bsky.social)Researcher at FU Berlin •Nature's 10 2024 •Creator of RW #Hijackedjournals checker •Scientific misconduct •Plagiarism • #papermills •Corruption in higher education
Dorothea Strecker

I was awarded a grant by @BerlinUAlliance - this grant will allow me to visit Stefanie Haustein, associate professor at the School of Information Studies at the University of Ottawa and co-director of the ScholCommLab.
During my stay, I will investigate metadata flows in the context of research data. In particular, I will examine the transfer of metadata from local to global contexts.

Read more about the project and why it matters here:

👉 doi.org/10.59350/wwwj7-4cm07

#openscience
#researchdata
#metadata
#fdm
@IBI_HU

doi.orgBUA fellowship: Metadata flows in the context of research data – Research Group Information Management @ Humboldt-Universität zu Berlin
NFDI

Today's #NFDITalk will be about #RDM in agro system sciences.

📝 Title: FAIR Digital Objects – infrastructure agnostic research data life cycle in agro system sciences
🗓️ Date: 21 July, 4 PM – Online
🎤 Speaker: Björn Usadel (FairAgro TA 4: Infrastructure Services; Forschungszentrum Jülich – Institut für Bio- und Geowissenschaften (IBG))

➡️ Join the Zoom Meeting (with discussion): nfdi.de/talks
➡️ Share the YouTube stream: youtube.com/live/Zz4PEpCcqxw

#NFDI#FDM#researchdata
DiTraRe

Next week, Sonja Schimmler will Interdisciplinary speak about "Science in the Age of AI: Is Your Research Ready for the Digital Revolution?" in the interdisciplinary colloquium on Digitalisation of Research. Make sure to register for this free (hybrid) event at: ditrare.de/en/colloquium/regis

@ITAS @fiz_karlsruhe @lysander07 @AnnaJacyszyn @Feelix @KIT_Karlsruhe @NFDI4DS #digitalisation #researchdata @nfdi4culture #NFDIrocks

Dorothea Strecker

Are you interested in monitoring the output of research data for your institution? This preprint might be for you:

:arxiv: Gee, B. M. (2025). The hunt for research data: Development of an open-source workflow for tracking institutionally-affiliated research data publications. arXiv. doi.org/10.48550/arXiv.2507.01

In > 50 pages, the preprint outlines a workflow for identifying datasets published by authors affiliated with a specific institution. The workflow uses open data sources and multiple search strategies to compensate for missing affiliation information. It also discusses data monitoring and data cleaning issues.

:python: github.com/utlibraries/researc

arXiv.orgThe hunt for research data: Development of an open-source workflow for tracking institutionally-affiliated research data publicationsThe ability to find data is central to the FAIR principles underlying research data stewardship. As with the ability to reuse data, efforts to ensure and enhance findability have historically focused on discoverability of data by other researchers, but there is a growing recognition of the importance of stewarding data in a fashion that makes them FAIR for a wide range of potential reusers and stakeholders. Research institutions are one such stakeholder and have a range of motivations for discovering data, specifically those affiliated with a focal institution, from facilitating compliance with funder provisions to gathering data to inform research data services. However, many research datasets and repositories are not optimized for institutional discovery (e.g., not recording or standardizing affiliation metadata), which creates downstream obstacles to workflows designed for theoretically comprehensive discovery and to metadata-conscious data generators. Here I describe an open-source workflow for institutional tracking of research datasets at the University of Texas at Austin. This workflow comprises a multi-faceted approach that utilizes multiple open application programming interfaces (APIs) in order to address some of the common challenges to institutional discovery, such as variation in whether affiliation metadata are recorded or made public, and if so, how metadata are standardized, structured, and recorded. It is presently able to retrieve more than 4,000 affiliated datasets across nearly 70 distinct platforms, including objects without DOIs and objects without affiliation metadata. However, there remain major gaps that stem from suboptimal practices of both researchers and data repositories, many of which were identified in previous studies and which persist despite significant investment in efforts to standardize and elevate the quality of datasets and their metadata.
#researchdata#OpenScience
DiTraRe

Do you already know the Data Value Chain?
It has four major stages: collection, publication, uptake, and impact. These four stages are further separated into 12 steps: identify, collect, process, analyze, release, disseminate, connect, incentivize, influence, use, change, and reuse.

Open Data Watch, The Data Value Chain: Moving from Production to Impact (2025)
opendatawatch.com/publications

#researchdata @nfdi4culture @NFDI4DS @NFDI4Memory @ITAS @AnnaJacyszyn @Feelix #openscience #data #ditrare

NFDI

Great news before the weekend starts! All nine #NFDI consortia from the first funding round will continue to receive funding. 🎉 This was decided by the Joint Science Conference (GWK) today.

The new funding period for the second project phase will begin in October for @nfdi4plants, @ghga, @konsortswd, @nfdi4biodiv, @NFDI4Cat, @NFDI4Chem, @nfdi4culture, @nfdi4health and @nfdi4ing. Congratulations! 👏

Read more: nfdi.de/gute-nachrichten-fuer-

#fdm#rdm#researchdata
OSTrails

As #LIBER2025 continues, we were glad to present an #OSTrails poster (#22), exploring how the Plan – Track – Assess framework helps libraries strengthen interoperability & sustainable research data management.

🗣️ Pedro Príncipe (UMinho):
“Libraries are key partners in building open infrastructures & supporting responsible data practices.”

Stay tuned!

#OpenScience#FAIRdata#DMPs
Digital Research Academy

🎧 The final episode of Research Data: Handle with Care is out now!

If you’ve ever wondered how researchers responsibly handle health data, or how data protection and open science can work hand in hand, this series is for you.

📖 Learn more about the episodes: nfdi4health.de/en/news-eng/lat

Thanks to everyone who contributed their insights. This was a amazing collaboration with the NFDI4Health Consortium!

#ResearchData#OpenScience#DataStewardship
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