Skip to Content

What data management policies should be implemented to uphold best practices and community standards?

Take action

  • Review frameworks for data management policy
  • Review examples of data management policies that have implemented at other institutions

 

Explore

The DCC is collecting examples of explicit policies on research data and examples of existing policies amended to encompass research data.

OpenDOAR has created a simple tool to help repository administrators to formulate and/or present their repository's policies. It provides a series of check boxes and pick lists for all the key policy options, which can be very quickly selected.

 

Watch

  • Haywood, Jeff. Research Data Management Policies. Edinburgh, UK: University of Edinburgh. Accessed October 3, 2013. http://youtu.be/V8IIdfBAr_0.

In this video, Prof. Jeff Haywood, Vice Principal Knowledge Management, explains why universities need a research data management policy.

  • Watson, Frances. Data Management Policies. Canberra, Australia: Australian National Data Service (ANDS), 2012. http://youtu.be/nnQK26QPTjE.

This webinar provided an overview of the main elements of an Institutional Research Data Management Policy and suggest some approaches to creating a policy that supports the implementation of Data Management within an institution - presented by Frances Watson, Senior Policy Analyst, ANDS.

 

Read

  • Barton, C., R. Smith, and R. Weaver. “Data Practices, Policy, and Rewards in the Information Era Demand a New Paradigm.” Data Science Journal 9 (2010): IGY95–IGY99. doi:10.2481/dsj.SS_IGY-003.

As informatics becomes embedded in the scientific method, workload shifts from the user to the provider of data and information services and systems. Yet there is little incentive for research scientists to devote time to data management and system development. Our reward system can be adjusted to encourage responsible data management and open access practices, as well as motivate people to develop systems and services for the common good. At the same time, the status and professional infrastructure for those engaged in informatics needs to match traditional scientific and technical disciplines and create an attractive, competitive career path. Five readily achievable steps can be taken to redress these imbalances.

  • Beagrie, Neil, Najla Semple, Peter Williams, and Richard Wright. Digital Preservation Policies Study: Final Report. UK: JISC, October 2008.

This report is the result of a call by the JISC, issued in January 2008, for a study that would assist UK higher and further education institutions to formulate policies relating to the preservation of their digital assets.

  • Bohémier, Kayleigh Ayn, Thea Atwood, Andreas Kuehn, and Jian Qin. “A Content Analysis of Institutional Data Policies.” In Proceedings of the 11th Annual International ACM/IEEE Joint Conference on Digital Libraries, 409–410. Ottawa, Canada: ACM Press, 2011. doi:10.1145/1998076.1998159.

The newly issued requirement for a data management plan in proposals submitted to the U.S. National Science Foundation and other federal funding agencies prompted many institutions to develop their own policies to conform to this new requirement as well as to more effectively manage, share, publish, and provide access to research data. While the need for guidelines or a framework in developing such data policies is imminent, research is lacking in this area. The study reported here addresses this need by using a content analysis of 58 policy documents from 20 institutions. Our preliminary findings reveal an uneven distribution of data policies among the institutions and disciplines included in this study. We are currently analyzing our results.

This tool examines policies in use or in project for preserving and maintaining digital materials and ensuring their availability for current and future use; in particular, it dwells upon some specific aspects such as costs, requirements, roles, responsibilities, monitoring and review.

This paper looks at the high-level challenges associated with establishing a digital preservation policy. It is intended to be of use to readers responsible for managing digital media collections. For hands-on digital preservation advice see the document An Introduction to Digital Preservation.

  • Qin, Jian, and Carrie Solinger. “Institutional Policies on Science Research Data: A Pilot Analysis.” In Proceedings of the 2011 iConference, 761–762. Seattle, WA: ACM, 2011. doi:10.1145/1940761.1940896.

Institutions are increasingly feeling the pressure to develop strategies and policies to address these issues in science data management. Policies for data management, archiving, sharing, publishing, and use have sprouted on institutional and research centers' websites. The purpose of our pilot analysis was to collect policy examples for content analysis so that we have a better understanding of what types of policies exist and what issues they address. The poster will present an analysis of institutional policies on science research data management, archiving, sharing and publishing, and use.



about seo | page