## Module 8: Curation & Preservation for Data ## This module will emphasize characteristics of long-term data curation and preservation that build on and extend active data management. Distinguishing between curation and preservation is important for understanding their importance throughout the research data life cycle. Best practices and models will be foundational for offering data curation and preservation services. ### Learning Objectives ### 1. Emphasize characteristics of long-term data curation and preservation that build on and extend active data management 2. Distinguish between preservation and curation 3. Explore the data curation role and its importance throughout the research data life cycle 4. Review good practices for data curation and preservation ### Readings and Resources ### **Required** The Open Data Imperative: How the Cultural Heritage Community Can Address the Federal Mandate, by Suzie Allard, Christopher Lee, Nancy Y. McGovern, and Alice Bishop. CLIR REport 171, July 2016. https://www.clir.org/pubs/reports/pub171/ Inter-university Consortium for Political and Social Research (ICPSR). 2009. “Principles and Good Practice for Preserving Data.” International Household Survey Network, IHSN Working Paper No 003, December 2009. http://www.ihsn.org/sites/default/files/resources/IHSN-WP003.pdf Digital Preservation Management. Workshops and Tutorial http://dpworkshop.org DigCurV. A Curriculum Framework for Digital Curation http://www.digcurv.gla.ac.uk **Supplemental** University of Edinburgh for the Digital Curation Centre. International Journal of Digital Curation. ISSN: 1746-8256 http://www.ijdc.net/index.php/ijdc/index Digital Preservation. Digital Preservation Outreach & Education http://www.digitalpreservation.gov/education Digital Preservation Coalition. Digital Preservation Handbook. 2nd Edition, 2015. http://dpconline.org/handbook