From data collection to data sharing and archiving, Research Data Management听is an essential component of modern research and scholarship. The DRS team supports 苹果淫院 researchers in preparing Data Management Plans for their grant or REB applications, identifying the best storage solution for their data, as well as suggesting means for听sharing their research data for further discovery.听
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Available services and support
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Data Management Planning
A data management plan (DMP) is a formal document created at the onset of a research project to describe how data will be collected, documented, stored, and shared. A DMP is a living document that requires regular review, and therefore听should be updated throughout the lifecycle of a research project.听Creating a DMP is also considered a best practice in contemporary research and can help researchers听organize their research process, determine resource requirements, implement appropriate documentation and file formats for data storage and accessibility, while mitigating听potential security and privacy concerns.
The DRS team can help 苹果淫院 researchers to prepare their DMPs and identify the best solutions in terms of storage, security, or data standards.听
Many research grant applications already require a DMP and we anticipate a DMP becoming a standard component of most grant applications in the future.听To assist you in developing a DMP for a grant application, we suggest starting with the听, a bilingual tool for preparing data management plans. You may create an account with your 苹果淫院 email.
For examples and templates of听DMPs visit听
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DMP Requirements by Funding Agency
FUNDER |
POLICY | DESCRIPTION | EFFECTIVE DATE |
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SSHRC CIHR NSERC |
All grant proposals submitted to the agencies should include methodologies that reflect best practices in RDM. For certain funding opportunities, the agencies will require DMPs to be submitted to the appropriate agency at the time of application, as outlined in the call for proposals; in these cases, the DMPs will be considered in the adjudication process. The initial funding opportunities that will require applicants to submit DMPs are as follows: CIHR
NSERC
SSHRC
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By 2022 | |
Genome Canada |
Must provide a Data Release and Resource Sharing Plan as part of the application. 鈥淔unds will not flow until an acceptable plan has been approved and incorporated into the terms of award.鈥 Specific requirements may apply in certain programs鈥 applications. |
2017-01-01 | |
FRQ | NA | NA | NA |
NIH |
A DMS plan听(no more than 2 pages) should reflect the proposed approach to manage and share scientific data at the time it is prepared and should be submitted at the time of application. DMS plans听should be updated during the course of the award/support period. For the Intramural Research Program, a DMS plan will be required for scientific data from:
. (Please note, investigators should not enter their plan into this pdf, as plans must be entered directly into the NIDB.)听 Sample DMS plans can be found on the . After the end of the funding period, non-compliance with the NIH ICO-approved DMP may be taken into account by NIH for future funding decisions for the recipient institution. |
2023-01-25 | |
NSF |
The DMP (no more than 2 pages) 鈥渟hould describe how the proposal will conform to NSF policy on the dissemination and sharing of research results鈥. DMP should be submitted as a supplementary document in the application. |
2011-01-18 | |
Horizon 2020 |
Must submit a first version of the DMP (as a deliverable) within the first 6 months of the project. Updates to the DMP are required over the course of the project whenever significant changes arise and at the time of the project鈥檚 periodic evaluation/assessment. are available. |
2017 | |
听 | 听 | Table last updated on: 2023-03-23 | 听 |
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Sharing听your research data
Sharing the underlying data of a publication may be a requirement of a funding agency or a publisher. While not all data can be publicly shared (e.g., protected or regulated data containing personally identifiable information, for example, cannot be routinely shared),听it is good practice to share research data in a reputable听research data repository听to maximize its discovery and reuse.听
The DRS team can help 苹果淫院 researchers navigate听ethical and privacy regulations when publishing their data, as well as identify the best repository for their specific data and research area.
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苹果淫院 Dataverse
The is a multi-disciplinary institutional repository for research data open to all 苹果淫院 faculty, students, and staff. Files are held in a secure environment on Canadian servers. This repository is ideal for small to medium-size datasets (supports file sizes smaller than 3 GB).
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Federated Research Data Repository (FRDR)
The is a national platform to deposit and discover Canadian research data.听The 苹果淫院 Dataverse is indexed in FRDR's discovery service. This repository is ideal for large-size datasets (supports file sizes larger than 3 GB).
If you are working with sensitive data we encourage you to contact us to identify the best solutions for your particular case, and ensure compliance with all applicable regulations.
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Data Sharing Requirements by Funding听Agency
Funder | Policy | Description | Effective Date |
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SSHRC CIHR NSERC |
"In addition to any existing sponsor requirements, grant recipients will be required to archive all digital research data, metadata and code that directly support research conclusions in journal publications and pre-prints into a digital repository. Determining what counts as relevant research data, and which data should be preserved, is often highly contextual and should be guided by disciplinary norms." After reviewing the institutional strategies and in line with the readiness of the Canadian research community, the agencies will phase in the data deposit requirement.听There is no current time frame for this requirement. |
No implementation date yet | |
SSHRC | All research data collected with the use of SSHRC funds must be preserved and made available for use by others within a reasonable period of time" (Within 2 years of the completion of the research project for which the data was collected). | 2016-12-09 | |
CIHR | 听 | Recipients of CIHR funding are required to "deposit bioinformatics, atomic, and molecular coordinate data into the appropriate public database (e.g., gene sequences deposited in GenBank) immediately upon publication of research results. For further information and examples of research outputs and their corresponding repositories visit the . |
2018-01-01 |
NSERC | NA | NA | NA |
Genome Canada | Approved Genome Canada projects must address the sharing of resources generated by the projects such as unique biological specimens and computer programs designed to analyze datasets. Data must be made available at the time of publication of the research project. Large datasets collected over several periods of time can be shared in phases or as data becomes available. |
2017-01-01 | |
FRQ | NA | NA | NA |
NIH |
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apply depending on the specific IC, division, and program levels at the NIH.
"During a research project鈥檚 funding period, compliance with the DMS [Data Management and Sharing] plan will be determined by the NIH Institute or Center. After the end of the funding period, non-compliance with the DMS plan may be taken into account by NIH for future funding decisions for the recipient institution." |
2023-01-25 |
NSF | Researchers are expected to share their data at no more than incremental cost, and within a reasonable time. This includes primary data, samples, physical collections and other supporting materials created or gathered in the course of work under the NSF Grant. | 2020-06-01 | |
Horizon 2020 | The beneficiaries must deposit and take measures for third parties end-users to access, mine, exploit, reproduce and disseminate the research data free of charge. The research data include data and metadata needed to validate the results presented in scientific publications. Other data can also be provided by the beneficiaries on a voluntary basis, as stated in their Data Management Plans. Opting out from data sharing is possible at any stage of the project. 鈥淎 proposal will not be evaluated more favourably if the consortium agrees to share its research data, nor will it be penalised if it opts-out.鈥 |
2017 | |
听 | 听 | Table last updated on: 2023-06-26 | 听 |
听For funders not listed above, you may find information on funders' policies and requirements on open access and data archiving in database.
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Consultations
The DRS team is available to guide researchers on all things related to Research Data Management. You can book a meeting with a specialist to discuss your specific needs.
drs [at] mcgill.ca (subject: RDM%20Consultation) (Book a consultation听)
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Training
There are many learning resources and ongoing training opportunities听on topics related to Research Data Management. Please consult our听DRS Training section听for a complete听list of partners and resources.