Collaborative session notes: https://docs.google.com/document/d/1yvHl-LRcA7q9xtwMSx0BlEJoKlT979vxIZTL…
Introduction (5 min)
Introduction to the SSIG and the data quality program for the group.
 
Data quality in the social sciences (20 min)

Data quality in official statistics (Statistics Canada – to be confirmed)

Quality assessment in international social science data projects – the International Social Survey Programme (Steven McEachern, ANU)

Quality review and curation for reproducible and FAIR research (Limor Peer, Yale University and Thu-mai Christian, University of North Carolina)

 
Metadata quality (20 min)

The CESSDA Metadata Office (Carsten Thiel – CESSDA Main Office, Norway)

New data types and metadata extraction developments (Mari Kleemola, Finnish Social Science Data Archive, Finland )

FAIRsFAIR and F-UJI demonstration (Ingrid Dillo, DANS, Netherlands)

 
Development of quality assurance in other domains (20 min)

Data quality in the earth and environmental sciecnes (Barbara Magnana – ENVRI – to be confirmed)

Health/Life Sciences – BY-COVID and COVID-19 integrating projects (Katharina Lauer – Elixir)

 
Breakout discussion 20 min (3 groups)
 
Outcomes and next steps 10 min
Our proposed outcomes are the development of a working group across multiple interest groups, to develop the following proposed outputs:

Conceptual paper: Defining data and metadata quality

Conceptual paper: Dimensions of data and metadata quality

Establishing a working group on data quality within and across domains

 

Additional links to informative material
Documentation on data quality in official statistics:
Australia: https://www.abs.gov.au/websitedbs/D3310114.nsf/home/Quality:+The+ABS+data+quality+framework 
Canada: https://www150.statcan.gc.ca/n1/pub/12-539-x/manage-gestion/4058322-eng.htm 
Eurostat: https://ec.europa.eu/eurostat/web/quality/quality-reporting 
 
The FUJI FAIR Data Assessment Tool

https://www.f-uji.net/

https://www.fairsfair.eu/f-uji-automated-fair-data-assessment-tool 

Applicable Pathways
The FAIR Agenda, Discipline Focused Data Issues

Avoid conflict with the following group (1)
Sensitive Data Interest Group

Avoid conflict with the following group (3)
CURE-FAIR WG

Contact for group (email)
steven.mceachern@anu.edu.au

Group chair serving as contact person
Steven McEachern

Meeting objectives
This is a proposed regular meeting of the Social Science Interest Group. The intent of the meeting is to further the third of the IG’s core areas of activity – data quality. To this end, we are convening an information and engagement session exploring data and metadata quality issues in the social sciences and related disciplines, bringing together key stakeholders in social sciences infrastructure and official statistics, along with other EOSC domain areas including ELIXIR (life sciences) and ENVRI (environmental sciences).
Our proposed outcome of the session are the development of a working group across multiple interest groups, to work on the following proposed activities:

Conceptualisation and definition of data and metadata quality

Understanding the dimensions of data and metadata quality

Establishing a working group on data quality within and across domains

Please indicate the breakout slot (s) that would suit your meeting
Breakout 2, Breakout 5, Breakout 8, Breakout 11, Breakout 14, Breakout 17, Breakout 20, Breakout 23

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