DataCite15h ago

DataCite now has a new endpoint for enriched DOI metadata records.
How would you like to contribute or retrieve enriched metadata in the future? Explore the new endpoint and share your thoughts in the survey:
https://github.com/datacite/datacite-suggestions/discussions/236
https://form.typeform.com/to/Ektmjgg3

#DataCite #Metadata #PersistentIdentifiers #PIDs #DOI #OpenScience #ResearchInfrastructure #ScholarlyCommunication #FAIRdata #MetadataQuality #OpenInfrastructure #ResearchData #CommunityInput

CrossrefApr 28

With over 3,300 members in Latin America, and 1,900+ in Brazil alone, #community conversations in São Paulo are shaping how we improve support and services. More in the blog: https://doi.org/10.64000/9mvqq-31278

#metadataquality #membership #meetings #saopaulo #brazil

CrossrefApr 28
Connecting with our #community in Brazil highlighted the importance of #metadata quality, collaboration, and local support. Read more on the blog: https://doi.org/10.64000/9mvqq-31278 #metadataquality #membership #meetings #saopaulo #brazil
Péter KirályMay 24, 2024
A summary of the QA catalogue software in the GWDG Nachrichten:
https://gwdg.de/about-us/gwdg-news/2024/GN_04-05-2024_www.pdf#page=19 (illustrated!) #code4lib #metadata #metadataquality
Péter KirálySep 28, 2023
Analysing PICA & validating with SHACL4Bib - new developments in the bibliographical metadata quality assessment tool QA catalogue. Implemented together with @nichtich and Jean-Michel Nzi Mba. Presentation at Europeana's Data Quality Committee: https://bit.ly/qa-dqc-2023 #metadataquality
Péter KirályJun 9, 2023
Preview from the next release of QA catalogue: shacl4bib, a custom validation based on SHACL-like rule set to check particular issues in MARC or PICA records (it works for all serializations the tool supports). More info and how to: https://github.com/pkiraly/qa-catalogue#shacl4bib #metadataquality
GitHub - pkiraly/qa-catalogue: QA catalogue – a metadata quality assessment tool for library catalogue records (MARC, PICA)

QA catalogue – a metadata quality assessment tool for library catalogue records (MARC, PICA) - GitHub - pkiraly/qa-catalogue: QA catalogue – a metadata quality assessment tool for library catalogue...

GitHub
Péter KirályMay 11, 2023
I received a very kind letter from the Binghamton University Library. A few months ago they found QA catalogue on Github, installed it, used it, and now they thanked me. They analyze a) the quality of vendor supplied metadata for electronic resources, and b) subject access gaps in a collection of books that historically does not include subject headings or genre forms. #metadataquality https://github.com/pkiraly/metadata-qa-marc
GitHub - pkiraly/metadata-qa-marc: QA catalogue – a metadata quality assessment tool for library catalogue records (MARC, PICA)

QA catalogue – a metadata quality assessment tool for library catalogue records (MARC, PICA) - GitHub - pkiraly/metadata-qa-marc: QA catalogue – a metadata quality assessment tool for library catal...

GitHub
Péter KirályMar 21, 2023
I just get a notification that the German research funding agency Deutsche Forschungsgemeinschaft supports our #metadataquality research proposal "Agile quality assurance of metadata on cultural objects in the context of data integration processes" submitted together with Regine Stein (Göttingen University Library) and Prof. Gabriele Taentzer (Marburg University). We will harmonize our so far independent approaches, and make setup of quality criteria easier. It will be my fist funded research.
Andreas FerusMar 21, 2023
Dorothea Strecker (2022). Quality of metadata describing research data and the influence of repository characteristics. Young Information Scientist 7, 13-27. https://doi.org/10.25365/yis-2022-7-2 #ResearchData #Repository #MetadataQuality
Quality of metadata describing research data and the influence of repository characteristics | Young Information Scientist

Jeannette HoJan 17, 2023

A long paper presented at #iPress2022 on #metadata and #metadataquality:

"Metadata Quality in Digital Libraries: an Analysis of Survey Response Data" by Hannah Tarver et al.

https://osf.io/z7sfn

OSF