From Data Spaces to Collections as Data: bridging the gap between large-scale initiatives and day-to-day practices
Sally Chambers, KBR, Royal Library of Belgium,
Ghent Centre for Digital Humanities and DARIAH-EU
University of Oslo Library
24th October 2023
Bruxelles,
From large-scale initiatives to day-to-day practice
Introducing the common
European data space for cultural heritage
DATA SPACE for CULTURAL HERITAGE FACTSHEET
Currently being deployed by a Consortium led by the Europeana Initiative together with 18 partners.
A flagship initiative of the EU to support the digital transformation of the cultural heritage sector, funded under the Digital Europe programme. It is one of 14 data spaces in strategic sectors and domains of public interest.
Will be the main access point to cultural heritage data, with a focus on reuse and discovery purposes within and across sectors.
Building on and expanding Europeana’s accomplishments over the past 15 years
60+ staff (EF)
4,200+ members from all countries of Europe (ENA)
40 regional, national, domain and thematic aggregators (EAF)
4,000 museums, libraries and archives (Content providers)
27 Member States (CEDCHE)
European Commission
EUROPEANA INITIATIVE
Europeana Initiative
Europeana Data Model (EDM)
Europeana.eu
Capacity Building & Reuse
Data Quality
Digital Services for the public
Infrastructure
European data space for cultural heritage
What is a dataset?
Towards a Collaborative Cloud for Cultural Heritage
Towards an interconnected ecosystem of cultural heritage data …
European Commission, Directorate-General for Research and Innovation,Report on a European collaborative cloud for cultural heritage : ex – ante impact assessment, Publications Office of the European Union, 2022, https://data.europa.eu/doi/10.2777/64014
European Commission, Directorate-General for Research and Innovation, Stakeholders’ survey on a European collaborative cloud for cultural heritage: report on the online survey results, Publications Office of the European Union, 2022, https://data.europa.eu/doi/10.2777/691331
European Collaborative Cloud for Cultural Heritage (ECCCH)
European Collaborative Cloud for Cultural Heritage (ECCCH)
Linking cultural heritage data with research data
Introducing Collections as Data
Collections as Data: “Always Already Computational”
Padilla, Thomas, Allen, Laurie, Frost, Hannah, Potvin, Sarah, Russey Roke, Elizabeth, & Varner, Stewart. (2019, May 22). Final Report --- Always Already Computational: Collections as Data (Version 1). Zenodo. http://doi.org/10.5281/zenodo.3152935
Always Already Computational: Collections as Data final report and project deliverables: https://osf.io/mx6uk/wiki/home/
… and “Part to Whole”
https://collectionsasdata.github.io/part2whole/
Collections as Data: State of the Field and Future Directions
“The Vancouver Statement suggests a set of principles for thinking through questions that collections-as-data work produces, as part of an expanding global, interprofessional, and interdisciplinary effort to empower memory, knowledge, and data stewards (e.g., practitioners and scholars) who aim to support responsible development and computational use of collections as data. This stewardship role only grows in importance as artificial intelligence applications, trained on vast amounts of data, including collections as data, impact our lives ever more pervasively.”
Digitised Historical Newspapers as Data
Providing data-level access to the underlying files of digitised and born-digital cultural heritage resources to facilitate data analysis by means of tools and methods developed in the field of digital humanities
Newspapers as Data
National Library of Scotland: Data Foundry
https://data.nls.uk
Ames, S. (2021) “Transparency, Provenance and Collections as Data: The National Library of Scotland’s Data Foundry.” LIBER Quarterly 31 (1): 1–13. https://doi.org/10.18352/lq.10371.
Digital Library of the Caribbean as Data
https://dataverse.fiu.edu/dataverse/dloc-as-data
CLARIN Resource Families
https://www.clarin.eu/resource-families/newspaper-corpora
https://glamlabs.io/books/
A Collections as Data Checklist
25
Cultural Heritage Data as
Humanities Research Data
Cultural Heritage Data as Humanities Research Data
Tasovac, T., Chambers, S. and Tóth-Czifra, E. (2020) Cultural Heritage Data from a Humanities Research Perspective: A DARIAH Position Paper. https://hal.archives-ouvertes.fr/hal-02961317
Cultural Heritage Data as Humanities Research Data
Cultural Heritage Data as Humanities Research Data
Introducing the European Open Science Cloud (EOSC)
Cultural Heritage Data in the EOSC Marketplace?
Cultural Heritage Data in EOSC?
Cultural Heritage Data in EOSC? - Europeana
Cultural Heritage Data in EOSC? - Europeana
Social Sciences and Humanities Open Marketplace
https://marketplace.sshopencloud.eu
3 Guiding Principles:
Cultural Heritage in the SSH Open Marketplace
Social Sciences and Humanities Open Marketplace
This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782
A Collections as Data Workflow on the
SSH Open Marketplace
Many thanks to: Dr. Gustavo Candela
A Collections as Data Workflow - 10 Steps
European Open Science Cloud (EOSC) and Libraries
Presentation: https://eoscfuture.eu/wp-content/uploads/2022/04/ProviderDays_Libraries_Presentation2Inge_clean.pdf
Recording: https://www.youtube.com/watch?v=_vxHJNU78Pw
Collaborative Session Notes: https://bit.ly/45uS1zR
Embedding Collections as Data into Day-to-Day Practice
Digitised Historical Newspapers as Data
Interdisciplinary Research Scenarios
From collections to corpora
Which newspapers are digitised?
Importance of historical context
Methods for Data Extraction
Methods for Data Sharing
Vooruit, 24 November, 1944 - 1950
Methods for Data Sharing: Next Cloud
Towards the ‘DATA-KBR-BE’ platform
Collections as Data @ KBR, Royal Library of Belgium
Towards an interconnected ecosystem of cultural heritage data …
Role: Interoperable Data Aggregation (beyond metadata)
Role: State of the Art processing of Cultural Heritage Data (e.g AI-based)
Role: Publishing of tools; methods and derived datasets for reuse
Thanks for listening!
Sally Chambers | sally.chambers@ugent.be
University of Oslo Library
24th October 2023