<div class="csl-bib-body">
<div class="csl-entry">Schubert, C. (2025, June). <i>EOSC Data Quality Framework : “Integrity, Provenance, and Trust”</i> [Conference Presentation]. Open Science Day 2025, Wien, Austria. https://doi.org/10.34726/9741</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/216195
-
dc.identifier.uri
https://doi.org/10.34726/9741
-
dc.description.abstract
The need for explicit and precise information on data quality within the data productivity chain is becoming increasingly important, particularly in the context of EOSC strategy development. The former EOSC Task Force 'FAIR Metrics & Data Quality' developed a framework document providing recommendations on achieving Data Quality as an opportunity rather than a burden. This is a starting point that facilitates the reuse of trustworthy data, methods, for artificial intelligence, and providing an ensemble of agreements for EU Data Spaces. Through open consultations with the global community, a consensus was reached on providing data quality and indicators as a FAIR artefact. The new EOSC Strategic Pillars for 2026–2027 have raised awareness of the importance of data quality, emphasising its significant role in the operation of research data infrastructures. An overall assessment service on Data Quality does not exist. Domain-specific insights provide examples from NFDI, CODATA and for cultural data, spatial data domains or the health sector.
en
dc.language.iso
en
-
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
-
dc.subject
FAIR Data
en
dc.subject
FAIR data principles
en
dc.subject
Data Quality
en
dc.title
EOSC Data Quality Framework : "Integrity, Provenance, and Trust"
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.identifier.doi
10.34726/9741
-
dc.type.category
Conference Presentation
-
tuw.publication.invited
invited
-
tuw.researchTopic.id
X1
-
tuw.researchTopic.name
Beyond TUW-research focus
-
tuw.researchTopic.value
100
-
tuw.publication.orgunit
E040-01-2 - Fachgruppe Zeitschriften und Datenbanken
-
tuw.author.orcid
0000-0002-4971-2493
-
dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
tuw.event.name
Open Science Day 2025
en
tuw.event.startdate
03-06-2025
-
tuw.event.enddate
03-06-2025
-
tuw.event.online
On Site
-
tuw.event.type
Event for scientific audience
-
tuw.event.place
Wien
-
tuw.event.country
AT
-
tuw.event.institution
TU Wien
-
tuw.event.presenter
Schubert, Chris
-
tuw.event.track
Single Track
-
wb.sciencebranch
Informatik
-
wb.sciencebranch.oefos
1020
-
wb.sciencebranch.value
100
-
item.openaccessfulltext
Open Access
-
item.grantfulltext
open
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cp
-
item.fulltext
with Fulltext
-
item.cerifentitytype
Publications
-
item.mimetype
application/pdf
-
item.languageiso639-1
en
-
item.openairetype
conference paper not in proceedings
-
crisitem.author.dept
E040-01 - Fachbereich Medienmanagement und Bibliotheks-IT
