Table of Contents
After completing your journey through this chapter on organising and documenting your data you should:
- Be aware of the elements which are important in setting up an appropriate structure for organising your data for intended research work and data sharing;
- Have an overview of the best practices in file naming and organising your data files in a well-structured and unambiguous folder structure;
- Understand how comprehensive data documentation and metadata increases the chance your data are correctly understood and discovered;
- Be aware of common metadata standards and their value;
- Be able to answer the DMP questions that are listed at the end of this chapter and adapt your own DMP.
The content of this chapter was inspired by research data management manuals, guidelines, online courses and methodological texts published by several data organisations and experts, in particular the information provided by the UK Data Service (2017a), the “Guide to Social Science Data Preparation and Archiving” by the US-based data organisation ICPSR (2012), the online course Research Data MANTRA (EDINA and Data Library, University of Edinburgh, 2017), A guide into research data management by Corti, Van den Eynden, Bishop and Woollard (2014), Krejčí's "Introduction to the Management of Social Survey Data" (Krejčí, 2014), Gibbs (2007) and Data Management Guidelines produced and published by the Finnish Social Science Data Archive (FSD-Finnish Social Science data Archive, 2017).