This document discusses the challenges of handling social science data and potential responses. It describes the types of social science data, including large surveys, longitudinal studies, administrative data, and qualitative data. Three main challenges are identified: researchers lack skills for complex analysis, data processing lacks coordination, and incentives are needed for documentation. Potential responses include training programs, collaborative online services, and tools to facilitate data organization, standardization, linking, and modeling.
Data Management Planning at the DCC: a human factor
Handling social science data: Challenges and responses
1. Handling social science data: Challenges and responses Paul Lambert, University of Stirling DAMES research Node, www.dames.org.uk DIR workshop: Handling Social Science Data 17/MAR/2010
2. What is social science data? 17/MAR/2010 DIR workshop: Handling Social Science Data Example: Accessing surveys via UK Data Archive Shibboleth authentication Download and analyse in Stata, SPSS, etc
15. GESDE – Search and browse supplementary data on occupations; educational qualifications; ethnicity 17/MAR/2010 DIR workshop: Handling Social Science Data
