Digital preservation seeks to ensure that research data can be discovered, accessed, used, and understood – now and in the future. This requires that we address technological change, changing user behavior and new requirements on the computer-aided processing of research data as well as evolving organisational frameworks (e.g. national and international research data infrastructures).
To meet these challenges, GESIS focuses on these topics with research informed by both social and information sciences questions and methods. This includes research on strategies to preserve the authenticity, integrity and interpretability of data, cost (planning) models, certification procedures, standards and their application (e.g. OAIS Reference Model, PAIMAS, PREMIS) as well as technological and organisational aspects of digital preservation.
- Zenk-Möltgen, Wolfgang. 2011. "Collaboration in data documentation: developing “STARDAT - the data archiving suite”." IASSIST 2011 “Data Science Professionals: A Global Community of Sharing”. http://www.iassistdata.org/conferences/2011/presentation/2887.
- Zenk-Möltgen, Wolfgang. 2011. "Implementing digital object identifiers at the GESIS Data Archive for the Social Sciences." Bonn.
- Hausstein, Brigitte, and Wolfgang Zenk-Möltgen. 2011. "da|ra – Ein Service der GESIS für die Zitation sozialwissenschaftlicher Daten." 2., erg. Fassung. In Digitale Wissenschaft: Stand und Entwicklung digital vernetzter Forschung in Deutschland. Beiträge der Tagung vom 20./21. September 2010, edited by Silke Schomburg, Claus Leggewie, Henning Lobin, and Cornelius Puschmann, 139-147. http://www.hbz-nrw.de/dokumentencenter/veroeffentlichungen/Tagung_Digitale_Wissenschaft.pdf.
- Mühlbauer, Alexander. 2011. "Creating a Prototype Application Compatible with DDI 3.1 for the STARDAT Project." 3rd Annual European DDI Users Group Meeting. http://www.iza.org/conference_files/EDDI2011/EDDI11%20D2%20-%20Alexander%20Muehlbauer%20-%20Creating%20a%20Prototype%20Application%20Compatible%20with%20DDI%203.1%20for%20the%20STARDAT%20Project.pdf.
- Mauer, Reiner. 2011. "Langzeitarchivierung von Forschungsdaten: GESIS - Datenarchiv für Sozialwissenschaften." Archivierung sozial- und wirtschaftswissenschaftlicher Datenbestände (gemeinsamer Workshop von RatSWD, nestor und GESIS), 2011-09-15. http://www.ratswd.de/ver/docs_Archivierung_2011/mauer.pdf.