Item
Chapter on the data operations needed to prepare data files for analysis and data sharing, starting with data entry and coding of data files. Throughout the different phases of research data files will be edited numerous times. During this process, it is crucial to maintain the authenticity of research information contained in the data and prevent it from loss or deterioration, as well as a comprehensive approach to data quality.
Focus on:
- strategies to minimise errors during the processes of data entry and data coding
- the choice of file formats
- managing the integrity and authenticity of data during the research process
- a systematic approach to data quality
- DMP questions on these topics.
Learning outcome(s)
After completing this module you should:
- Be familiar with strategies to minimise errors during the processes of data entry and data coding;
- Understand why the choice of file format should be planned carefully;
- Be able to manage the integrity and authenticity of your data during the research process;
- Understand the importance of a systematic approach to data quality;
- Be able to answer the DMP questions which are listed at the end of this chapter and adapt them to your own DMP.
Format
Language
Free access
Yes
License
Intended audience
Disciplines
Curated topics
Created
Last updated