Train the Trainer Course
Skills for the Social Sciences and Humanities (SSH) thematic area
Module 1:
Planning: doing research in the SSH OS landscape
Data in the SSH
Learning Objectives
Name Surname | Event | Date
Describe the current policy landscape that shapes knowledge production in SSH
Identify Open Science practices in SSH
Recognise SSH specificities within the research workflow during knowledge production from an ethical, legal and methodological perspective
Describe what the research data management requirements and standards are
Content
Name Surname | Event | Date
Data in the SSH
Adapted from:
1) Giglia, E. (2021, January 28). CO-OPERAS: FAIR data in the SSH. Zenodo. https://doi.org/10.5281/zenodo.4475487 - CC BY-SA 4.0
2) Giglia, E. (2021, September 15). FAIR data in the Humanities. Zenodo. https://doi.org/10.5281/zenodo.5510388 - CC BY 4.0
Data in the SSH
Humanities
ALLEA Report, 2020 – Sustainable and FAIR data sharing in the humanities.
Social Science
All underlying materials in your study – Open Research Europe
Question
Do these definitions represent your perspective of what data is in SSH?
What is Data in the Social Sciences and Humanities research?
Data in the Humanities– a taxonomy
Edmond, J. (Ed.) (2020). Digital Technology and the Practices of Humanities Research. Open Book Publishers.
Print publications
Electronic/ Digital
Single or collected/curated primary sources
Software, Code
[patents/licences]
[ephemera]
Data in the Digital Humanities
Arnold, M., Valencia, O., & Arènes, C. (2022, May 9). Humanities and FAIR data. Zenodo. https://doi.org/10.5281/zenodo.6531506 - CC BY 4.0
Metadata
Tabular Data
Structured Text
Non-structured text
Image files
Digitised Manuscripts
Sound files
Maps
Relational database
Data in the Social Sciences
Observational
Experimental
Simulation
Survey data
Records
Secondary
Jeng, W., He, D., & Oh, J. S. (2016). Toward a conceptual framework for data sharing practices in social sciences: A profile approach. Proceedings of the Association for Information Science and Technology, 53(1), 1-10. DOI: https://doi.org/10.1002/pra2.2016.14505301037
Data in the Social Sciences
Personal/Sensitive data
Quantitative/Qualitative
CESSDA Training Team (2017 - 2022). CESSDA Data Management Expert Guide. Bergen, Norway: CESSDA ERIC.
Retrieved from https://dmeg.cessda.eu/ - CC BY-SA 4.0
Data in the SSH
Thank you!�Questions?
[Trainer’s email address]