We can help! We have an assortment of plans that we can share as examples from several funders (by request) and we can review your DMP or related plan. It doesn't matter if you used the DMPTool, a template, or drafted one from scratch. We'll compare it to the funders requirements for managing and sharing your data and research data management best practices. Contact us at firstname.lastname@example.org
The National Institutes of Health (NIH) has released their new Data Management and Sharing Policy after a 5 year cycle of community input and revisions. It will take effect on January 25, 2023.
The National Science Foundation (NSF) issued a Dear Colleague Letter: Effective Practices for Data, on May 20, 2019. The purpose of this DCL is to describe - and encourage - effective practices for managing research data, including the use of persistent identifiers (IDs) for data and machine-readable data management plans (DMPs).
"Movement towards open science by the research community offers the potential to enhance public benefits of science and engineering research. Open science provides new opportunities for researchers to access research findings and data, which in turn has the potential to advance knowledge in many critical domains. The capacity of science and engineering research to achieve these advances depends on the extent to which researchers are aware of, and use, effective practices for data preparation, curation, and distribution. Through this DCL, NSF encourages researchers to learn about the practices described above, and to implement them in the proposals that they prepare for submission to NSF."
This guide provides information and resources to help make research data management easier for you. Use the tabs above or the menu on the left to go directly to information about research data management best practices, data management plans, active data storage, data sharing, data repositories, impact statements, data security, and training.
Libraries have been managing information for 4,000 years. The UVa Library is evolving and building expertise to continue this tradition so that we can help you create, manage, store, share and cite your research data today, and to share and preserve it for tomorrow.
Research Data Management is ready to consult with you on your entire data life cycle, helping you to make the decisions that work best for you and your funder requirements. Contact us now to start a conversation about your research.
Other Life Cycle Models: