Data Management Plans
The Ontario Agri-Food Innovation Alliance is committed to fostering sound data management practices to facilitate new agri-food and rural research.
As of 2018, researchers awarded funding through the Alliance research program must complete a data management plan (DMP) for their awarded project(s). A DMP summarizes how data generated over the course of a research project will be stored, shared and maintained. It can help improve the effectiveness and efficiency of a research project as well as help prepare data for preservation and sharing.
In most cases, DMPs are a condition of award. Please refer to your award agreement for details.
Please note: all DMPs must be reviewed and endorsed by the U of G Library prior to submission to the Alliance. Please submit your complete, Library-endorsed DMP to firstname.lastname@example.org. Please refer to the how to complete your DMP section below for details.
To learn more about data management planning, visit the U of G Library's DMP page.
Upcoming Data Management Workshop
To assist researchers with the development of a data management plan (DMP), the McLaughlin Library is leading a workshop to provide an overview of data management plans and discuss strategies and resources for completing a DMP.
The last workshop took place September 2, 2020. A new workshop will be scheduled soon.
- Use the Portage DMP Assistant online tool to create your DMP. Instructions for using the DMP Assistant tool are available in the 2020 DMP Manual.
- Send your DMP to the U of G Library for feedback at least three weeks before the due date. Email your draft DMP to email@example.com. A librarian will provide feedback using established DMP review criteria and will indicate if the plan is endorsed and/or detail recommended changes.
- Address any recommended changes and resubmit your DMP to the Library for review. You can update your DMP using the Portage DMP Assistant.
- Email your Library-endorsed DMP to firstname.lastname@example.org. Please be sure to include the relevant project number in your email.
Information and resources
The Alliance encourages all researchers to deposit into a recognized repository all digital research data, metadata and code that directly support the research conclusions in journal publications, pre-prints and other research outputs. The selected data repository/repositories should be described in the DMP. Researchers are encouraged to provide public access to the data deposited where ethical, legal and commercial requirements allow.
Complete your DMP using the Portage Network's DMP Assistant online tool. The Portage Network is an initiative of the Canadian Association of Research Libraries.
The Portage DMP Assistant will provide guidance and resources to address the following categories of questions:
*Note: these questions do not constitute a complete DMP template and are provided for general guidance only. Use the Portage DMP Assistant to develop a complete plan.
- Data Collection
- What types of data will you collect, create, link to, acquire and/or record as part of this project?
- Where will you deposit your data for long-term preservation and access at the end of your research project?
- Indicate how you will ensure your data is preservation ready. Consider preservation-friendly file formats, ensuring file integrity, anonymization and de-identification, as well as inclusion of supporting documentation.
- Are there any current or future restrictions on the data used in and/or generated during this project?
- Sharing and reuse
- Will you make data from this project available for sharing?
- If so, what data will you share and in what form? (e.g., raw, processed, analyzed, final)
After submitting your DMP to the library, your plan will be reviewed for the following:
|Performance Criteria||Required Information||Level of Detail Expected|
|Data Collection||What types of data will you collect, create, link to, acquire and/or record as part of this project?||Clear description of data origin, nature and scale, and level of sensitivity. Outline plans for data organization, storage, backup, and security.|
|Preservation||Where will you deposit your data for long-term preservation and access at the end of your research project?||Clear statement outlining which data/digital outputs will be preserved, where and for how long. Decision validated against value of outputs, economic viability of preservation, potential for reuse. Repository named (link provided where applicable), indication of service type (institutional, disciplinary, generic, validity of choice - e.g. reasons for selection).|
|Preservation||Indicate how you will ensure your data is preservation ready. Consider preservation-friendly file formats, ensuring file integrity, anonymization and de-identification, inclusion of supporting documentation||Demonstrated awareness of need for metadata creation, including methodology, codebooks, scripts, readme files, etc. Plan for moving preservation files to non-proprietary format and any modifications such as anonymization, aggregating, etc. that would be required. If a repository not being used, plan should demonstrate what will be in place to enable data to be preserved/curated effectively beyond the grant.|
|Restrictions||Are you aware of any current or future restrictions on the data used in and/or generated during this project?||Outline any requirements restricting preservation or sharing of data, include difficulties, conflicting requirements, and possible measures to ensure all requirements can be met. Identify source of restrictions. Would a non-disclosure agreement provide sufficient protection?|
|Sharing and Reuse||Will you make data from this project available for sharing?||Outline where, how and with whom data of long-term value should be made available. Will there be any embargoes, or restrictions of use?|
|Sharing and Reuse||If so, what data will you be sharing and in what form? (e.g., raw, processed, analyzed, final)||Outline the amount and type of data to be shared. Include details on raw, processed, analyzed and final data. What will be included, what will be excluded. What form of data is required to meet institutional, funding or other agreements.|
To assist with the development of a DMP, the McLaughlin Library will be leading workshops to provide an overview of data management plans and discussing strategies and resources for completing a DMP. The next workshop will be scheduled soon.
The McLaughlin Library is also provides one-on-one consultations for researchers. For assistance, questions or to book a one-on-one consultation with a research and scholarship librarian at the U of G Library contact email@example.com.
The 2020 DMP Manual provides details on how to complete your DMP.