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.
UCSD Research Cyberinfrastructure: Data Management Planning contains resources, examples, and links to guides on writing a data management plan. Strong National Science Foundation (NSF) focus.
The University of Wisconsin’s Research Data Services has a strong focus on National Science Foundation (NSF) DMP requirements, but also contains general guidelines for data sharing and contents of data management plans.
The ARL NSF Resources for Data Management Planning pulls together resources for research libraries to support their researchers in complying with the NSF Data Sharing Policy. This portal represents a variety of sites containing examples, data management tools, and data repositories. Professionals can participate in ARL’s Group on Data Sharing Support.
The UK Data Archive’s guide Managing and Sharing Data: Best Practice for Researchers (PDF) provides guidance to support researchers in producing high quality research data that can be shared and re-used beyond the primary research. The guidance covers: Why and how to share research data Data management planning and costing Documenting data Formatting data Storing data and data security Ethics and consent for data sharing and re-use Data copyright Data management strategies for large investments
UK Data Archive: Create and Manage Data provides best practice guidance for researchers on creating and managing data. Guidance covers data management and sharing planning, consent and ethics in data sharing, data ownership and copyright, documenting data, formatting data, storing data, data security and data management strategies for large-scale research investments.
UK Data Archive’s Research Data Management Costing Tool (PDF) is an activity-based data management costing tool for researchers in the social sciences developed by the UK Data Archive. This tool can be used when preparing research applications or data management plans to estimate the additional costs above standard research procedures and practices that are needed to make research data shareable beyond the primary research team. Background information on how the costing tool was developed is available.
Content licensed under Creative Commons BY 4.0
