Policy can articulate the scope of work. For repositories that house data, policy can help users manage expectations, especially for individuals who are new to data sharing, or where expectations for sharing data have changed. We cover some of the current literature around the process for writing policy, specifically focusing on policy for data collections and repositories, factors that encouraged us to create a repository policy, our collaborative process for creating the policy, and lessons learned. We hope that others can use our processes to build their own policy that reflects the needs of their campuses and scholars and further moves the needle toward the “Library as Publisher” model.

Adapted from the Digital POWRR project, slides from my NDSR Immersion Program Workshop. Digital preservation tools and advocacy.

The implementation of a scientific research data management system is an important task within long-term, interdisciplinary research projects. Besides sustainable storage of data, including accurate descriptions with metadata, easy and secure exchange and provision of data is necessary, as well as backup and visualisation. The design of such a system poses challenges and problems that need to be solved.This paper describes the practical experiences gained by the implementation of a scientific research data management system, established in a large, interdisciplinary research project with focus on Soil-Vegetation-Atmosphere Data.

D-Lib Magazine

An introductory talk for librarians on why laboratory notebooks are a critical tool for data management in scientific research. I also suggest ways that academ…

Example of authority control on messy data.

Zone 1 provides an easy-to-use first line of preservation service for use by anyone at Harvard for any digital content.

Produced by the Berkman Center for Internet & Society
Filmed and Edited by Daniel Dennis Jones with Rocky Acosta

Creative Commons music by Hugh Doolan: http://soundcloud.com/hughdoolan/heartlands-free-dl

This prezi introduces the subject of research data management and why organisations (inc. HEIs) need to start putting steps in place to meet the increasing expectations of funders.