Autoren: Stefan Kramer, Yale University Library, stefan.kramer@yale.edu; Anne Oechtering, Staatsbibliothek zu Berlin, anne.oechtering@sbb.spk-berlin.de; Joachim Wackerow, GESIS (Leibniz-Institut für Sozialwissenschaften), joachim.wackerow@gesis.org

Abstract:
Numeric datasets generated in the course of research projects in the social sciences pose distinct problems for their efficient and effective description, indexing, locating, reusing, and archiving. The development of the Data Documentation Initiative (DDI) seeks to address these problems. With the release of DDI version 3 as a metadata schema for social science data, the DDI Alliance as the organization behind these efforts now focuses on the development of tools and the promotion of the DDI in appropriate communities of practice. (more…)