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.
University of Oxford: Research Data Management contains good practice research data management guidance for researchers, including a data management planning checklist with topic-specific guidance and common components of a data management plan.
Yale University ODAI: Data Management provides researchers with reasons for, and resources to, manage their research data. Includes real case example data management plans from National Science Foundation (NSF) grant applications made by Yale University researchers.
University of Michigan Library: Research Data Management and Publishing Support contains resources for writing a data management plan, understanding and managing data, and using data in research. Its page on National Science Foundation (NSF) Data Management Plans provides guidance for preparing data management plans in compliance with NSF requirements for researchers, grant administrators and support staff. Contains real-case examples from various U.S. universities of actual submitted plans, as well as links to templates and tutorials.
CDL: Manage Your Data provides guidance on data management plans, an overview of data requirements of USA funding agencies and general guidance on creating, organizing, managing, and sharing data by the California Digital Library. Data management planning information refers both to specific National Science Foundation (NSF) plan requirements and to more generic guidance.
The MIT Libraries Data Management and Publishing guide is aimed to provide academic researchers with practical tips for research data management. Includes guidance on a range of topics, covering both managing data during a project and sharing/archiving data upon completion. Includes page on developing data management plans.
The ANDS: Guide to Data Management Planning from the Australian National Data Service offers generic guidance on data management planning aimed at all disciplines of research. The guidance gives a checklist of topics to include in a plan.
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