The principal objectives are: to build capacity in secondary analysis amongst new and mid-career researchers
Prof. John Stillwell
Secondary data analysis is the further analysis of an existing dataset which was collected for some other particular (primary) purpose or purposes. It includes various analytical practices that use existing data to investigate new research questions or to re-examine primary study questions for the purpose of corroboration. Secondary analysis presents interpretations, conclusions or knowledge in addition to, or different from, that presented in the first report on the enquiry as a whole and its main results. The challenge for those undertaking secondary analysis is to understand the conditions under which the data were collected so that they may be correctly interpreted, to devise ways of making imperfect data substitute for primary data, and to be imaginative and skilled in applying and developing methods that take account of these factors but still address the questions at hand.
UPTAP is predominantly targeted at early or mid-career researchers wishing to enhance their skills, experience, knowledge and expertise in secondary data analysis. Consequently, the principal objectives of the UPTAP initiative are to:
- build capacity in secondary data analysis amongst new and mid-career researchers;
- spread knowledge and use of secondary analysis through and beyond the social science community;
- add value to the ESRC investments in the collection, preservation and promotion of large-scale national data sets by encouraging their use and exploitation; and
- in the longer term, to maximize the knowledge gained about economic and social change from secondary data analysis.
Quality in Qualitative Research :: Data Editing :: Data Matching :: Measurement ::
This web resource has been restored on:2013-07-10
This web resource has been updated on:2013-07-30