Neue Publikation
๐—ค๐˜‚๐—ฎ๐—น๐—ถ๐˜๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ๐—ป ๐—˜๐—ฟ๐—ต๐—ฒ๐—ฏ๐˜‚๐—ป๐—ด ๐˜‚๐—ป๐˜๐—ฒ๐—ฟ ๐—ฃ๐—œ๐——-๐—ฅ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฟ๐—ถ๐—ฒ๐—ฟ๐˜‚๐—ป๐—ด๐˜€๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜‚๐—ฟ๐—ฒ๐—ป, ๐—”๐—ด๐—ด๐—ฟ๐—ฒ๐—ด๐—ฎ๐˜๐—ผ๐—ฟ๐—ฒ๐—ป, ๐—ญ๐—ถ๐˜๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€๐—ฑ๐—ฎ๐˜๐—ฒ๐—ป๐—ฏ๐—ฎ๐—ป๐—ธ๐—ฒ๐—ป ๐˜‚๐—ป๐—ฑ ๐—œ๐—ป๐—ณ๐—ฟ๐—ฎ๐˜€๐˜๐—ฟ๐˜‚๐—ธ๐˜๐˜‚๐—ฟ๐—ถ๐—ป๐—ถ๐˜๐—ถ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ๐—ป

Im Fokus stehen Bedarfe, Herausforderungen und Entwicklungspotenziale fรผr die weitere Stรคrkung von PID-Infrastrukturen in Deutschland.

๐Ÿ“– https://doi.org/10.5281/zenodo.20308904

Wir danken allen, die unsere Fragen beantwortet haben: @arks_org @datacite @zbw_news @TIBopenpub @re3data @DNB_Aktuelles, @GESIS

#PIDs #OpenScience #FAIR #Metadata #ORCID #DOI

I came across publication #DOI:10.1186/s43093-023-00285-2, where a respondent states: โ€˜Well, we would like, for instance, #Microsoft to sign a #contract with us where they #promise not to #reveal our #information to a third party.โ€™
The article continues: โ€˜[โ€ฆ], the respondent decided to exclusively use #supplierโ€‹s based in the #EU [โ€ฆ] #European CSPโ€‹s provide a promise [โ€ฆ] not to disclose their information and #assure that they will not utilize suppliers outside the EU. โ€™
https://doi.org/10.1186/s43093-023-00285-2
Exploring the General Data Protection Regulation (GDPR) compliance in cloud services: insights from Swedish public organizations on privacy compliance - Future Business Journal

The adoption of cloud services offers manifold advantages to public organizations; however, ensuring data privacy during data transfers has become increasingly complex since the inception of the General Data Protection Regulation (GDPR). This study investigates privacy concerns experienced by public organizations in Sweden, focusing on GDPR compliance. A qualitative interpretative approach was adopted, involving semi-structured interviews with seven employees from five public organizations in Sweden. Additionally, secondary data were gathered through an extensive literature review. The collected data were analyzed and classified using the seven privacy threat categories outlined in the LINDDUN framework. The key findings reveal several significant privacy issues when utilizing public cloud services, including unauthorized access, loss of confidentiality, lack of awareness, lack of trust, legal uncertainties, regulatory challenges, and loss of control. The study underscores the importance of implementing measures such as anonymization, pseudonymization, encryption, contractual agreements, and well-defined routines to ensure GDPR compliance. The findings emphasize the importance of implementing measures such as anonymization, pseudonymization, encryption, contractual agreements, and well-defined routines to ensure GDPR compliance. Furthermore, this research highlights the critical aspect of digital sovereignty in addressing privacy challenges associated with public cloud service adoption by public organizations in Sweden.

SpringerLink

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(Note: the vastly general term "#AI" is here used, as often, instead of the quite more specific intended meaning: #GenAI / #SyntheticTextExtrudingMachines)

#References

[1] Sarkar, R., 2026. Why AI canโ€™t be trusted to write scientific reviews. Nature 653 (8116), 983โ€“983. https://doi.org/10.1038/d41586-026-01616-3

#DOI

How can community-informed metadata guidance become practical repository improvements? In this guest post, LMU Munich shares how the PID Network Germany pilot supports better DOI metadata workflows through the DataCite Metadata Generator - a reusable tool for metadata creation and validation with integrated PID support: https://doi.org/10.5438/acdm-0120

@fdm_bayern
@PIDNetworkDE
#DataCite #DOI #Metadata #PIDs #PersistentIdentifiers #OpenScience @ORCID_Org @ResearchOrgs #OpenResearch

Dear scientific publishers:
Please ๐Ÿ›‘ STOP ๐Ÿ›‘ inserting spaces after each period and slash in a #DOI in a reference list.

DOIs are (some sort of) web links, not regular sentences. Therefore, it's doi.org/abc.de, not:
doi. org/ abc. de

#ScientificPublishing

Also uploaded the new dataset as CSV to Zenodo, so at https://doi.org/10.5281/zenodo.16883949 you can get it and cite it as #DOI 10.5281/zenodo.16883949
Member States' notifications of the temporary reintroduction of border control at internal borders pursuant to Article 25 and 28 et seq. of the Schengen Borders Code

Based on data published at https://home-affairs.ec.europa.eu/policies/schengen/schengen-area/temporary-reintroduction-border-control_en and the PDF at https://home-affairs.ec.europa.eu/policies/schengen/schengen-area/temporary-reintroduction-border-control_en (Full list of Member States' notifications of the temporary reintroduction of border control at internal borders pursuant to Article 25 et seq. of the Schengen Borders Code) from 2025-09-o6 Changes to previous version: Added entries 482-496  

Zenodo

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#References

[1] Mervis, J., 2026. White House seeks to tighten political oversight of grantmaking. Science. https://doi.org/10.1126/science.zv0elgw

[2] Feynman, R.P., 1955. The value of science. Engineering and Science 11 (3), 13โ€“15. https://archive.org/details/feynman_201604
(originally, a public address given at the 1955 autumn meeting of the National Academy of Sciences - see also https://calteches.library.caltech.edu/40/ )

#DOI #InternetArchive

Thinking of upgrading OJS? PKP and @crossref present:

Introducing #OpenJournalSystems 3.5 key features and user enhancements

๐Ÿ—“๏ธ Wednesday June 3, 8 AM PDT (UTC-7)

๐Ÿ“Œ Streamlined submission tracking with a redesigned editorial dashboard

๐Ÿ“Œ Auto editorial team compilation, published on the journal website

๐Ÿ“Œ Increased user privacy and control via a new user invitation process

๐Ÿ“Œ Metadata improvements, such as enhanced @ORCID_Org, @ResearchOrgs, and #DOI integrations

https://www.eventbrite.ca/e/pkp-crossref-introducing-ojs-35-key-features-and-user-enhancements-tickets-1988844021005?aff=ebdsoporgprofile

The recording and slides for our community webinar, โ€œCheck your Metadata Quality with the DataCite Metadata Dashboard,โ€ are now available. See how the new dashboard helps you spot gaps, track progress, and improve DOI metadata quality. Watch, learn, and improve your metadata: https://youtu.be/wstEsFZ1Esk

@kelly
#DataCite #Metadata #MetadataQuality #PersistentIdentifiers #PIDs #DOI #ResearchData #OpenScience #FAIRData #ScholarlyInfrastructure #OpenInfrastructure #OpenResearch

Check your Metadata Quality with the DataCite Metadata Dashboard

YouTube
Oh, look! Another thrilling episode of "The Chronicles of the Unreadable Abstract," starring the coveted #arXiv identifier and its sidekick, the #DOI. ๐Ÿš€๐Ÿ’พ Featuring everyone's favorite pastime: deciphering jargon-filled PDFs while sipping coffee from a Simons Foundation mug. โ˜•๐Ÿ“š
https://arxiv.org/abs/2601.16670 #HackerNews #TechJargon #CoffeeLovers #ResearchAdventure #HackerNews #ngated
The Green Side of the Lua

The United Nations' 2030 Agenda for Sustainable Development highlights the importance of energy-efficient software to reduce the global carbon footprint. Programming languages and execution models strongly influence software energy consumption, with interpreted languages generally being less efficient than compiled ones. Lua illustrates this trade-off: despite its popularity, it is less energy-efficient than greener and faster languages such as C. This paper presents an empirical study of Lua's runtime performance and energy efficiency across 25 official interpreter versions and just-in-time (JIT) compilers. Using a comprehensive benchmark suite, we measure execution time and energy consumption to analyze Lua's evolution, the impact of JIT compilation, and comparisons with other languages. Results show that all LuaJIT compilers significantly outperform standard Lua interpreters. The most efficient LuaJIT consumes about seven times less energy and runs seven times faster than the best Lua interpreter. Moreover, LuaJIT approaches C's efficiency, using roughly six times more energy and running about eight times slower, demonstrating the substantial benefits of JIT compilation for improving both performance and energy efficiency in interpreted languages.

arXiv.org