Guidelines for creating DATA MANAGEMENT PLANS
This document provides ideas and boilerplate to Lehigh researchers relevant to writing a data management plan (DMP) for a grant proposal. You may also want to consult the DMP tool, which provides you with an outline of what is needed in your specific grant proposal. Below gives you specific points and language related to Lehigh resources.
You can consult with the Library & Technology Services (LTS) research data management team for assistance and advice in writing your own DMP!
The attached sample DMPs are made available for the benefit of Lehigh faculty. Please consider emailing your finalized DMP to LTS [firstname.lastname@example.org] for its use as a source of ideas and phraseology for other researchers at Lehigh who are writing DMPs for their research. Everyone benefits!
To the best of our knowledge, your DMP should contain most, if not all, of the following sections. These are guidelines for items to include in your DMP. Please feel free to contact us if we have missed some sections based on the funding agencies that you are applying to.
In the introduction, briefly describe what the DMP is addressing for e.g. data storage, preservation and dissemination.
Provide a rationale for the DMP
The DMP is developed to ensure that results generated from this research project are independently verifiable and reusable in subsequent research by other scientists and engineers. Information necessary for reproducing and validating our research findings will be made available through published papers, references therein, and online supplemental materials.
You may want to weave it into the introductory section or have a separate section for the rationale.
Provide information about the data types that will be generated, stored and/or disseminated
E.g. output from software programs, surveys, publicly or privately available original or processed/derived data sets, etc
Describe the format of the data types. Please consider specifying whether the data format is open source or closed source.
If the data format is proprietary, consider specifying the software used Examples:
Describe how your data will be disseminated for public consumption, preferably on a subject data repository. Depending on what the granting agency allows, you may want to stipulate a time frame that will ensure that you have time to publish results based on the data. Consider publishing your data using a DOI and an appropriate license.
Describe how your data will be protected.
Describe how your data will be preserved for the length of the grant and the extended time frame that your funding agency requires.