Data plans can help you:
- Comply with the federal agencies proposal requirements
- Describe how data will be maintained and what resources will be needed to preserve it
- Have well described and organized data when posting a supplemental dataset with your publication
- Prepare data for review before and/or after the article is accepted for publication; as required by some publishers. See Nature's policy
- Facilitate re-use of data sets, open access, and data sharing
|NSF||Requires a 2 page (max.) data plan with all proposals||Plans for data management and sharing of the products of research|
|NIH||Requires a paragraph following the Research Plan section of the proposal that describes how data will be shared||Data Sharing Plan|
|NASA||Requires a data sharing plan as part of the Scientific/Technical/Management section of proposals||Guidebook for Proposers|
|NIJ||Requires a 1-2 page data archiving strategy||Guidelines and examples|
|NEH||Digital Humanities Implementation Grants require a 2 page (max.) sustainability and data management plan||Guidelines|
Depending on the discipline, the nature of a project, and the funding agency, every data management plan is unique. You are free to download the following template to guide you when writing your plan.
The Libraries will provide a review of and comments on draft data management plans prior to proposal submission to help ensure the plan addresses NSF criteria and is easy for proposal reviewers to understand.
|Examples of data management plans from the natural sciences||A list of examples compiled by the Inter-University Consortium for Political and Social Science at the University of Michigan|
|Sample Data Management Plan for Depositing Data with ICPSR||The Inter-University Consortium for Political and Social Science at the University of Michigan|
|Data plan for ABC Laboratory||Developed for an NSF proposal|
|Data plan: Lakeshore Nature Preserve||Developed Lakeshore Nature Preserve (courtesy of the Univ. of Wisconsin-Madison)|
Feel free to use the following phrases in your plans:
Access to Published Research
Using Institutional repository
To increase access to the published research that has been funded, the research collaborators will deposit peer-reviewed or pre-print manuscripts (with linked supporting data where possible) in UNL's open access repository, Digital Commons http://digitalcommons.unl.edu/. Other works, including presentations will also be made accessibly via Digital Commons.
Using Disciplinary repository
To increase access to the published research that has been funded, the research collaborators may want to deposit peer-reviewed or pre-print manuscripts (with linked supporting data where possible) in a subject repository. The DataBib (http://databib.org/), is a searchable catalog / registry / directory / bibliography of research data repositories that are available online.
Using both types of repositories
Research collaborators will deposit publications and presentations (with linked supporting datasets) in relevant open-access institutional and/or disciplinary digital repositories, including UNL's Digital Commons (http://digitalcommon.unl.edu). The researchers will review datasets for long-term preservation and dissemination via deposit in the international DRYAD data repository(http://datadryad.org/), which hosts data associated with any published article in the biosciences.
Data StorageThe data created by this project will be added to the university's data repository (UNLDR), managed by the Libraries and campus IT, for dissemination and long-term curation. The UNLDR (Dell Object Storage Platform) is a server dedicating to scalable and affordable fixed-content storage of data. The researchers will work with Information Systems to assess our data storage needs and provide cost options for short and long term storage of the data created in this project. The UNLDR provides backups, migration, remote access, and other security-based services that ensure the data are appropriately archived for the life of the project and beyond the project if necessary.
Data SharingAll data produced during this research is not confidential or private so it will be freely available to the public under the terms of the Open Data License (http://www.opendatacommons.org/licenses/odbl/). Users may share, create, and/or adapt these data. We request attribution and sharing by users under the terms of the OdBL and redistribution without digital restriction measures.
Data RetentionApproximately [insert amount] images will be created over the 5 year course of this research project. For preservation purposes, the images will be stored as un-compressed 800 dpi TIFF files. For web accessibility the images will be converted to low resolution GIF files for web accessibility. The TIFF headers will be embedded with the appropriate technical and administrative metadata. The team will develop a file-naming convention that will ensure that the date and order in which the images where captured is retained. The researchers intend to retain these images beyond the life of this project so the entire collection (low resolution GIFs) will be deposited in the UNL Image and Multimedia Collections Repository (http://contentdm.unl.edu/) while the high resolution TIFFs will be deposited in the UNL Data Repository for long-term archiving. The archive’s terms of service include regular checks of data integrity. The libraries will archive the online collection and make the images available to authorized users.
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Managing your data before you begin your research and through out its life cycle is essential to ensure its current usability and long-term preservation and access. You can begin the planning process by asking yourself the following questions:
- What type of data are being produced and what are the file formats?
- How much data are being produced, and at what growth rate? Will the data change?
- How long should the data be retained?
- What directory and file Naming convention will be used?
- Do you need data identifiers?
- Are there tools and software needed to render the data?
- Who controls the data?
- Who will be responsible for data management?
- Are there privacy, legal, ethical, or security requirements?
- Does the funder require a data sharing policy, data management plan, or other information?
- Are the data properly described (metadata) and the overall project documented?
- How will you store and backup the data?
- Do you need to publish the data in a repository?
Workshops & Consultations
The Libraries partners with Information Services and the Office of Research and Economic Development to offer support to UNL researchers who need help creating data management plans
This is what we can help you with:
a. Conduct 30-60 minute workshops for your department, laboratory, students, or project team.
b. Review data management plans prior to submission
Workshops may cover a combination of the following Data Management topics:
a. Overview of what you need in order to effectively manage data.
b. File formats and handling best practices
c. Where to get help for data storage, metadata, and archiving