A new Web site, the Geospatial Data Preservation Resource Center, aims to help those responsible for producing and managing geospatial data learn about the latest approaches and tools available to facilitate long-term geospatial data preservation and access. The Web site provides descriptions and links for a variety of relevant resources, including education and training modules, useful tools and software, information on policies and standards for preserving geospatial data, and examples of successful preservation and associated benefits. This first release of the Web site, which CIESIN will be enhancing over the next year, was developed as an element of the National Digital Information Infrastructure and Preservation Program (NDIIPP) of the Library of Congress.
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The Irish Qualitative Data Archive: Best Practice in Archiving Qualitative Data (PDF) handbook is intended to introduce the researcher and data curator to the issues they need to consider when developing an archiving strategy appropriate to their qualitative data set. The guidelines apply principally to textual data that have been generated in qualitative research projects.
The Penn State University Libraries Data Management Toolkit provides resources to help orient teaching and research faculty, as well as undergraduate and graduate students, around the topic of data management planning. While some sections are dedicated specifically to PSU students, faculty and staff, a large majority of the toolkit may be used generally by the public and offers great information on data management, planning, and sharing. The site also provides links to other institutions and organizations that offer resources on similar topics.
Developed by the Purdue University Libraries, the Data Management Plan: Self-Assessment Questionnaire (PDF) is designed to assist researchers in constructing a data management plan for their National Science Foundation (NSF) proposals.
UVA Scientific Data Consulting provides guidance on the concepts behind data planning and a general template for writing National Science Foundation (NSF) data management plans. In addition to planning, the guide includes a section on data citation.