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Social Science, Arts & Humanities Data in Interdisciplinary Research

Dr Chris Emmerson & Dr Roya Olyazadeh

04 December 2021


Learning Aims 

Aim

To review data management and data sharing approaches for Social Science, Arts and Humanities research projects.

 

Objectives  

  • Examine what data is 
  • Explore the data lifecycle and its role in data management 
  • Consider data management planning as tool to support effective research 
  • Explore how to review and describe data  
  • Learn how to store, organise and document data 
  • Examine ethical and legal considerations  
  • Advance understanding of how to share and reuse data 

Defining data in the Social Sciences, Arts and Humanities

“Research data are the evidence that underpins the answer to the research question, and can be used to validate findings regardless of its form (e.g. print, digital, or physical). These might be quantitative information or qualitative statements collected by researchers in the course of their work by experimentation, observation, modelling, interview or other methods, or information derived from existing evidence … Data may be defined as ‘relational’ or ‘functional’ components of research, thus signalling that their identification and value lies in whether and how researchers use them as evidence for claims.” 

Concordat on Open Research Data, 2016, HEFCE, Research Councils UK, Universities UK and Wellcome Trust

“Evidence which is used or created to generate new knowledge and interpretations. ‘Evidence’ may be intersubjective or subjective; physical or emotional; persistent or ephemeral; personal or public; explicit or tacit; and is consciously or unconsciously referenced by the researcher at some point during the course of their research.”  

~ Garrett, 2012, What is visual arts research data (revisited) 

Data Management

Legal and Ethical Considerations

Data Sharing

Hub Data Team Response

In this short video Hub data manager, Roya Olyazadeh, explains the core principles of how we treat a diversity of data within the Hub according to FAIR principles, and how we meet best practice and funder requirements in terms of open data and public accessibility, making sure that our research has the greatest impact for future decision making, planning, and to aid other researchers.  

References and Further Reading 

General: 

Corti, L., Van den Eynden, V., Bishop, L. and Woollard, M., 2014. Managing and sharing research data. 2nd ed. SAGE. 

Oliver, G. and Harvey, R., 2016.  Digital curation. London: Facet Publishing.  

www.ncl.ac.uk/rdm     

https://ukdataservice.ac.uk/  

https://www.dcc.ac.uk/  

Data Documentation:  

https://ukdataservice.ac.uk/learning-hub/research-data-management/#document-your-data  

GDPR: 

https://ico.org.uk/for-organisations/guide-to-data-protection/guide-to-the-general-data-protection-regulation-gdpr/  

Open Data and Research: 

https://www.fosteropenscience.eu/  

https://www.ukri.org/wp-content/uploads/2020/10/UKRI-020920-ConcordatonOpenResearchData.pdf  

https://www.gida-global.org/care  

https://www.openaire.eu/how-to-make-your-data-fair  

Research Ethics: 

Carroll et al., (2021) Operationalizing the CARE and FAIR Principles for Indigenous data futures https://www.nature.com/articles/s41597-021-00892-0  

https://www.go-fair.org/  

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