#datareuse — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #datareuse, aggregated by home.social.
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NFDI4Culture: Culture Community Plenary 6
9–11 Nov 2026
Deutsches Bergbau-Museum Bochum
Deadline: 15 June 2026👉 Further information: https://www.performing-arts.eu/de/news/newsstream/call-for-papers-culture-community-plenary-6-nfdi4culture/
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NFDI4Culture: Culture Community Plenary 6
9–11 Nov 2026
Deutsches Bergbau-Museum Bochum
Deadline: 15 June 2026👉 Further information: https://www.performing-arts.eu/de/news/newsstream/call-for-papers-culture-community-plenary-6-nfdi4culture/
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NFDI4Culture: Culture Community Plenary 6
9–11 Nov 2026
Deutsches Bergbau-Museum Bochum
Deadline: 15 June 2026👉 Further information: https://www.performing-arts.eu/de/news/newsstream/call-for-papers-culture-community-plenary-6-nfdi4culture/
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NFDI4Culture: Culture Community Plenary 6
9–11 Nov 2026
Deutsches Bergbau-Museum Bochum
Deadline: 15 June 2026👉 Further information: https://www.performing-arts.eu/de/news/newsstream/call-for-papers-culture-community-plenary-6-nfdi4culture/
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NFDI4Culture: Culture Community Plenary 6
9–11 Nov 2026
Deutsches Bergbau-Museum Bochum
Deadline: 15 June 2026👉 Further information: https://www.performing-arts.eu/de/news/newsstream/call-for-papers-culture-community-plenary-6-nfdi4culture/
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RT by @EULawDataPubs: Very good example of #DigitalFirst publishing from @emcdda, which also allows for easy #DataReuse!
🐦🔗: https://nitter.cz/HardemanHildeML/status/1744813390869200931#m
[2024-01-09 20:08 UTC]
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RT by @EULawDataPubs: Very good example of #DigitalFirst publishing from @emcdda, which also allows for easy #DataReuse!
🐦🔗: https://nitter.cz/HardemanHildeML/status/1744813390869200931#m
[2024-01-09 20:08 UTC]
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RT by @EULawDataPubs: Very good example of #DigitalFirst publishing from @emcdda, which also allows for easy #DataReuse!
🐦🔗: https://nitter.cz/HardemanHildeML/status/1744813390869200931#m
[2024-01-09 20:08 UTC]
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Only 0.14% of open biomedical datasets have ever been used - and just 0.03% reused. Open data keeps growing, but actual reuse remains stagnant.
:doi: https://doi.org/10.1016/j.joi.2025.101737
We talk about openness, but hardly anyone looks inside the box. :thisisfinefire:
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Highly recommended read - make sure to take a minute and file through @mjgiarlo's thread (linked below 👇🏽) for a #code4lib member perspective on the recent court case of OCLC v. Anna's Archive ...
And we couldn't agree more, this is just such a waste of energy, time, and resources - and to what end? To antagonise / alienate OCLC's customer base even more?
This is exactly why we are working hard to establish an equitable, fully open alternative to #OAbooks metadata creation and dissemination - with all metadata records released under a #CC0 public domain dedication (as they should!) #MARC #ONIX #KBART #MetadataMatters #DataReuse #Right2Remix
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Europe sets out the rules of the road for its data reuse plan - European Union lawmakers have laid out a major legislative proposal today to encourage the reuse of ... - http://feedproxy.google.com/~r/Techcrunch/~3/nOx4xqnQY28/ #artificialintelligence #datagovernanceact #datalocalization #dataprotection #datareuse #privacy #europe #policy #ai #eu
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Very interesting German documentary regarding the challenges of #OpenAccess and #OpenScience. The documentary also covers #datatracking (by academic publishers), science #espionage and the risks of #dataReuse.
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Why don't we share data and code? Perceived barriers and benefits to public archiving practices | Proceedings of the Royal Society B: Biological Sciences
https://royalsocietypublishing.org/doi/10.1098/rspb.2022.1113#openscience #datascience #reproducibility #transparency #datareuse #codereuse
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[Blog Post] v11 For Service Providers - Activating More Data Integration API Enhancements
#v11 #DataReuse #FUSE #Linux https://anthonyspiteri.net/v11-service-providers-data-integration-api/
🐦🔗: https://twitter.com/anthonyspiteri/status/1375091431426129923
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Why is reusing data often more complex than making it available? On 22 May, Christine Borgman (UCLA) and Paul Groth (Uva) will explore the social fabric of data sharing and reuse at Leiden University Library. Their talk builds on “From Data Creator to Data Reuser: Distance Matters” (Harvard Data Science Review) and reflects on the accompanying commentaries and response. Organised by DANS and CWTS. Join in person or online: https://edu.nl/xnkjp
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A #study from the #Oxford Internet Institute analysed 445 #AIbenchmarks, finding that many #oversell #AIperformance and lack scientific rigour. The study highlights issues like #uncleardefinitions, #datareuse, and inadequate #statisticalmethods, calling for more rigorous and transparent benchmark criteria. https://www.nbcnews.com/tech/tech-news/ai-chatgpt-test-smart-capabilities-may-exaggerated-flawed-study-rcna241969?eicker.news #tech #media #news
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#Archaeology #DataReuse is in the air!
Here's another example of a paper, authored by James Newhard and colleagues, that cites and reuses shared #opendata: https://doi.org/10.3390/heritage8080298
Their paper reuses data from "The Eastern Korinthia Archaeological Survey" (Pettegrew et al 2021): https://doi.org/10.6078/M7SF2T9Q
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Die Folien zu meinem Vortrag "FAIR, really? Zur Nutzbarkeit von Kulturerbedaten" auf der #bibliocon2025 sind jetzt online: https://opus4.kobv.de/opus4-bib-info/frontdoor/index/index/docId/19891 (URN löst noch nicht auf). Der Vortrag versteht sich als Plädoyer dafür, den Datenzugriff und die Nutzbarkeit zu erleichtern, Datenangebote also von ihrer *tatsächlichen* Nutzbarkeit her zu denken und nicht die ideale Nutzerin vorauszusetzen.
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📢 HMC FAIR Friday Lecture Alert!
On 11/07/2025, 10 am, join #HMC FAIR Friday with Prof. Paul Groth @pgroth
from the @UniversityofAmsterdamHe’ll explore how we can better support data reuse – and why the “distance” between creator and user really matters.
🔗 Register here:
https://events.hifis.net/event/2486#HMC_FAIRfriday
#DataReuse #OpenScience #FAIRdata@hidadigital @DKFZ @MDC_Berlin @awi @geomar_de @hzbde @Helmholtz_HZI @GFZ @ufz @HZDR @fzj @KIT_Karlsruhe @cispa @HelmholtzMunich @dzne @DLR
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Forschungsdaten für andere zugänglich zu machen erfordert Fachwissen und Zeit, die Forschenden oft nicht bleibt. Dr. Maie Stein und Prof. Dr. Hannes Zacher von der #UniLeipzig möchten erreichen, dass andere Wissenschaftler:innen die Daten aus ihrer arbeitspsychologischen Langzeitstudie nachnutzen können. #datareuse
Eine Förderung im Bereich #Forschungsdatenmanagement unterstützt sie nun dabei: https://magazin.uni-leipzig.de/das-leipziger-universitaetsmagazin/artikel/daten-teilen-wissen-mehren-forschungsdaten-sollen-neue-fragen-beantworten-2025-04-24Foto: Colourbox
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Everything you need to know about Digital Object Identifiers on one page! 🤩 See an expanded version of our DOI Cheatsheet 📑✨ on our website: archaeologydataservice.ac.uk/help-guidanc... #DOIsWithADS #DOIsWithIA #DataReuse #FAIR #Research #DataCite
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Langfristige Nutzbarkeit, Offenheit: „Europäische Religionsfrieden Digital“ bietet solide Editorik, aufbereitete und wiederverwendete Daten und Tools aus früheren Projekten in einem beispielhaften FAIR-Data-Anwendungsfall. https://eured.de/ #textplus_advent #fair #datareuse #religionsfrieden
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💪 DOIs > URLs 🙅 Digital Object Identifiers enhance your digital citation practices and ensure long-term accessibility and credibility. 🌐✨ Watch our new video for more information! youtu.be/48Rth4IFGY4 #DOIsWithADS #DataReuse #DigitalPreservation 🏺
An Introduction to Digital Obj... -
Question regarding #dataReuse and #datasharing:
With my students, I scraped tweets on different topics relating to time frames up to October 2022. I am still making some of those data sets available for #teaching purposes and wonder if that's officially allowed, given the changes in Twitter/X's recent terms of use. I would appreciate some clarifications as I cannot find precise up-to-date information online. Most information I find still relates to the pre-Musk period and seems outdated.
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Nancy and @boas_pucker presented some research projects of our group at the monthly BRICS seminar: pathway discovery and evolutionary biology with big data #DataReuse #Genomics #RNAseq
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Today, @tabea from our team presented "From Data Creator to Data Reuser: Distance Matters", a new paper by Christine Borgman and Paul Groth in our local Journal Club. There's more to consider than just the FAIR principles when it comes to enable (research) data reuse. Recommended reading!
paper: https://arxiv.org/abs/2402.07926
#fair #researchdata #datareuse @nfdi4culture @NFDI4Memory @NFDI4DS #nfdirocks @epoz @sashabruns @heikef @MahsaVafaie @enorouzi @shufan #recommendations
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Seeking help! Research data by/about/related to art history - who created it, who has it, who (re-)uses it? We only know so little! Yes, there's https://www.arthistoricum.net/. Yes, there are image metadata in LIDO XML. But: Who makes use of them for new research? Yes, there were a number of PhD theses on CIDOC CRM. Where's the data? Was the schema adopted? Has data been (re-)used, even outside art history? Please share your knowledge! #DigitalArtHistory #ResearchData #DataReuse #FAIRData
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This preprint observes a citation advantage of papers reusing more than one dataset, based on publications reusing ICPSR datasets:
http://arxiv.org/abs/2402.05024"Papers that used more than one dataset garnered 22%, 15%, and 15% more citations over 3, 5, and 10 years relative to papers that used a single dataset." The effect is higher for datasets that are rarely used in combination.
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The Future of Data in Research Publishing: From Nice to Have to Need to Have?
#AmyBrand #ChristineLBorgman #DataReuse #FAIRData #OpenAccess #OpenData #ResearchData #ResearchDataManagement
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To get you in the Halloween spirit, we've rounded up a creepy, crawly collection of data on bats, monsters, pumpkins, spiders, and more.
As always, free to access and reuse.
Check out this month’s Open Data Digest and sign up to have it delivered straight to your inbox 📥
https://blog.datadryad.org/2023/10/04/open-data-digest-october-2023/
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Congratulations @monimunozto on your DataWorks! award, can't wait to hear your presentation on @MonarchInit !
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RT @MonarchInit
Join Monarch and other DataWorks! Prize recipients at a free online symposium (organized by @NIHDataScience and @FASEBorg) on April 25 about best practices in data sharing and reuse! #OpenScience #OpenData #DataReuse
https://monarchinit.medium.com/monarch-to-participate-in-dataworks-prize-symposium-on-april…
https://twitter.com/MonarchInit/status/1646220306271604737 -
This preprint analyses how and why social science datasets are cited.
https://doi.org/10.48550/arXiv.2302.08477The authors developed a typology that covers the entities being referenced, as well as the structure and function of the reference.
They demonstrate that referencing data serves various purposes beyond re-analysis of data, for example providing readers with access to data or supporting empirical arguments.
#DataCitation #DataReuse -
The #EuropeanCommission decides to refer Belgium, Bulgaria, Latvia and the Netherlands to the Court of Justice of the European Union @Curia for failing to enact #EU rules on #OpenData and public sector #DataReuse
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A slightly overdue #introduction…
I mostly do freelance work in #data helping with strategy, governance and capability. Interested in #InformationScience and #CriticalDataStudies.
I’m also a growing digital #archaeologist, interests include #DataReuse, #LandscapeArchaeology, #LateAntiquity and #DigitalHumanities.
Otherwise, I’m a #runner and #parkrun ED. A baker of sourdough. A former computational chemist, developer and civil servant. Will do almost anything for decent coffee and cake.
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A #study from the #Oxford Internet Institute analysed 445 #AIbenchmarks, finding that many #oversell #AIperformance and lack scientific rigour. The study highlights issues like #uncleardefinitions, #datareuse, and inadequate #statisticalmethods, calling for more rigorous and transparent benchmark criteria. https://www.nbcnews.com/tech/tech-news/ai-chatgpt-test-smart-capabilities-may-exaggerated-flawed-study-rcna241969?eicker.news #tech #media #news
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A #study from the #Oxford Internet Institute analysed 445 #AIbenchmarks, finding that many #oversell #AIperformance and lack scientific rigour. The study highlights issues like #uncleardefinitions, #datareuse, and inadequate #statisticalmethods, calling for more rigorous and transparent benchmark criteria. https://www.nbcnews.com/tech/tech-news/ai-chatgpt-test-smart-capabilities-may-exaggerated-flawed-study-rcna241969?eicker.news #tech #media #news
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A #study from the #Oxford Internet Institute analysed 445 #AIbenchmarks, finding that many #oversell #AIperformance and lack scientific rigour. The study highlights issues like #uncleardefinitions, #datareuse, and inadequate #statisticalmethods, calling for more rigorous and transparent benchmark criteria. https://www.nbcnews.com/tech/tech-news/ai-chatgpt-test-smart-capabilities-may-exaggerated-flawed-study-rcna241969?eicker.news #tech #media #news
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A #study from the #Oxford Internet Institute analysed 445 #AIbenchmarks, finding that many #oversell #AIperformance and lack scientific rigour. The study highlights issues like #uncleardefinitions, #datareuse, and inadequate #statisticalmethods, calling for more rigorous and transparent benchmark criteria. https://www.nbcnews.com/tech/tech-news/ai-chatgpt-test-smart-capabilities-may-exaggerated-flawed-study-rcna241969?eicker.news #tech #media #news
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Research Data in Scientific Publications: A Cross-Field Analysis
#DataReuse #DataSharing #GiovanniColavizza #PuyuYang #ResearchData #ScientificCommunication #ScientificPractices
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For those following the #AutomaticTextRecognition course, this is the last course in the curriculum, reviewing the final steps and how to make the data reuseable! Check it out this #TrainingTuesday 😻
➡️ https://campus.dariah.eu/resources/hosted/automatic-text-recognition-atr-end-formats-and-reusability
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For those following the #AutomaticTextRecognition course, this is the last course in the curriculum, reviewing the final steps and how to make the data reuseable! Check it out this #TrainingTuesday 😻
➡️ https://campus.dariah.eu/resources/hosted/automatic-text-recognition-atr-end-formats-and-reusability
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Why is reusing data often more complex than making it available? On 22 May, Christine Borgman (UCLA) and Paul Groth (Uva) will explore the social fabric of data sharing and reuse at Leiden University Library. Their talk builds on “From Data Creator to Data Reuser: Distance Matters” (Harvard Data Science Review) and reflects on the accompanying commentaries and response. Organised by DANS and CWTS. Join in person or online: https://edu.nl/xnkjp
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Why is reusing data often more complex than making it available? On 22 May, Christine Borgman (UCLA) and Paul Groth (Uva) will explore the social fabric of data sharing and reuse at Leiden University Library. Their talk builds on “From Data Creator to Data Reuser: Distance Matters” (Harvard Data Science Review) and reflects on the accompanying commentaries and response. Organised by DANS and CWTS. Join in person or online: https://edu.nl/xnkjp
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Why is reusing data often more complex than making it available? On 22 May, Christine Borgman (UCLA) and Paul Groth (Uva) will explore the social fabric of data sharing and reuse at Leiden University Library. Their talk builds on “From Data Creator to Data Reuser: Distance Matters” (Harvard Data Science Review) and reflects on the accompanying commentaries and response. Organised by DANS and CWTS. Join in person or online: https://edu.nl/xnkjp
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Why is reusing data often more complex than making it available? On 22 May, Christine Borgman (UCLA) and Paul Groth (Uva) will explore the social fabric of data sharing and reuse at Leiden University Library. Their talk builds on “From Data Creator to Data Reuser: Distance Matters” (Harvard Data Science Review) and reflects on the accompanying commentaries and response. Organised by DANS and CWTS. Join in person or online: https://edu.nl/xnkjp
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Only 0.14% of open biomedical datasets have ever been used - and just 0.03% reused. Open data keeps growing, but actual reuse remains stagnant.
:doi: https://doi.org/10.1016/j.joi.2025.101737
We talk about openness, but hardly anyone looks inside the box. :thisisfinefire:
-
Only 0.14% of open biomedical datasets have ever been used - and just 0.03% reused. Open data keeps growing, but actual reuse remains stagnant.
:doi: https://doi.org/10.1016/j.joi.2025.101737
We talk about openness, but hardly anyone looks inside the box. :thisisfinefire:
-
Only 0.14% of open biomedical datasets have ever been used - and just 0.03% reused. Open data keeps growing, but actual reuse remains stagnant.
:doi: https://doi.org/10.1016/j.joi.2025.101737
We talk about openness, but hardly anyone looks inside the box. :thisisfinefire:
-
Only 0.14% of open biomedical datasets have ever been used - and just 0.03% reused. Open data keeps growing, but actual reuse remains stagnant.
:doi: https://doi.org/10.1016/j.joi.2025.101737
We talk about openness, but hardly anyone looks inside the box. :thisisfinefire:
-
#Archaeology #DataReuse is in the air!
Here's another example of a paper, authored by James Newhard and colleagues, that cites and reuses shared #opendata: https://doi.org/10.3390/heritage8080298
Their paper reuses data from "The Eastern Korinthia Archaeological Survey" (Pettegrew et al 2021): https://doi.org/10.6078/M7SF2T9Q