Discovering and using data

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Title Body
Discover

Chapter on the process of data discovery and reuse, including evaluating data quality. For discovering high-quality data, curated lists of different types of social science data sources in Europe and around the world are presented.

Focus on:

  • set up - and adjust - a search strategy to find suitable data for your research purposes
  • social science data repositories as sources for discovering social science data
  • data sources which CESSDA-experts recommend for selected research topics
  • evaluating the quality and usefulness of data for secondary analysis
  • different types and modes of access to data
  • relevant DMP questions on this topic
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Title Body
CESSDA Data Management Expert Guide

The Data Management Expert Guide is designed by European experts from the CESSDA Training Working Group to help social science researchers make their research data Findable, Accessible, Interoperable and Reusable (FAIR).

The guide is written for social science researchers who are in an early stage of practising research data management. With this guide, CESSDA wants to contribute to professionalism in data management and increase the value of research data.

The guide leads through the research data lifecycle from planning, organising, documenting, processing, storing and protecting data to sharing and publishing them. Taking the whole roundtrip will take approximately 15 hours.

Particular specialties of the guide is a focus on European diversity (for example in data protection legislation, research ethics, research funder DMP requirements, etc), developing a Data Management Plan as you progress through the guide, and topical expert tips.