#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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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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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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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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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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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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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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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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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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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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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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#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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#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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#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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#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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#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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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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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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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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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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📢 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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📢 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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📢 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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📢 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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Our approach is community-driven and action-oriented. Through flagship events, targeted support, and hands-on training, we’re investing in a culture where making data FAIR isn’t an afterthought—it’s second nature.
Join us as we highlight the role of data stewards and ensure that you get the most of research data.
#FAIRdata #DataStewardship #OpenScience #ResearchData #CaSDaR #NetworkPlus #DataCulture #DataReuse
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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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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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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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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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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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Research Data in Scientific Publications: A Cross-Field Analysis
#DataReuse #DataSharing #GiovanniColavizza #PuyuYang #ResearchData #ScientificCommunication #ScientificPractices
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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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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.