Table of Contents
After completing your travels through this chapter on data discovery you should:
- Be able to set up - and adjust - a search strategy to find suitable data for your research purposes;
- Understand that social science data repositories are important sources for discovering social science data;
- Be aware of data sources which CESSDA-experts recommend for selected research topics;
- Be aware of steps in evaluating the quality and usefulness of data for secondary analysis;
- Understand different types and modes of access to data;
- Be able to answer the DMP questions which are listed at the end of this chapter, and adapt your own DMP.
Authors and guides to this chapter
Johana Chylikova | Czech Social Science Data Archive (CSDA)
I am a quantitatively oriented social researcher and my main focus is the validity of survey data and measurement errors. While working on the content of this chapter I made use of my experience in analysing data and designing surveys and questionnaires.
Martin Vávra | Czech Social Science Data Archive (CSDA)
As archivist I am responsible mainly for data acquisition and for doing training in data search among (potential) users of CSDA. My work on this chapter is based on my experience as quantitative researcher interested in analysis of social attitudes too.
Jindrich Krejčí | Czech Social Science Data Archive (CSDA)
In preparation of the Expert tour guide, I have used my almost 20 years of experience in building CSDA data services as well as my experience in teaching data management and social survey methodology.
Jennifer Buckley | UK Data Service, University of Manchester
As a social researcher and member of the User Support and Training team at the UK Data Service, I have enjoyed contributing my expertise in finding and accessing archived data for social research, especially the use of complex survey datasets for secondary analysis.
Michaela Kudrnacova | Czech Social Science Data Archive (CSDA)
As occasionally teaching research oriented sociologist, I often come across small misunderstandings or knowledge gaps regarding data management among students and researchers as well. I hope this module will help to provide them with the right explanations while they are struggling with their very own research projects.