A core open science curriculum.

A guide for project design, communication, and reproducibility.

A collection of training resources for open science practices.

An introductory self-paced course on open science principles and practices.

An introductory self-paced course on open science principles and practices.

You must get consent from participants to share their data. Example wording for consent forms is available from the UWO ethics guidelines.

A data management plan is a formal document that outlines how data will be handled during and after a research project.

A free, open-source platform for managing research projects and sharing data.

A user-friendly platform for submitting and evaluating preregistrations.

A publishing format that reviews and accepts manuscripts based on the study design and methods, before results are known. Go to the following to learn about and find journals accepting registered reports.

A collaborative platform for sharing and managing research methods.

Principles for making data Findable, Accessible, Interoperable, and Reusable.

A free online platform for creating psychological experiments.

An open-source software for creating neuroscience and psychology experiments.

Brain Imaging Data Structure (BIDS) is a standard for organizing and describing neuroimaging data.

The BIDS Starter Kit provides templates and tools to help you get started with BIDS.

The BIDS Validator checks if your dataset is compliant with the BIDS standard.

The BIDS Apps are a collection of open-source neuroimaging tools that work with BIDS datasets.

ezBIDS puts your neuroimaging data into BIDS formatting.

A data standard for neurophysiology data.

Data management system that keeps track of your data, creates structure and integrates with widely used data infrastructure.

A platform for creating, sharing, and publishing metadata.

A platform for analyzing and sharing neuroimaging data.

A versatile programming language for data analysis, visualization, and machine learning.

Python library for Neurophysiological data analysis.

A programming language and software environment for statistical computing and graphics.

A free and open-source statistical software program that is easy to use and offers a range of statistical analyses.

A free and open statistical software that is easy to use and offers a range of statistical analyses.

Open-source software for MEG/EEG analysis.

A global registry of research data repositories.

A free and open platform for sharing and analyzing neuroimaging data.

A free, open-source platform for managing research projects and sharing data.

A community-driven platform for sharing open-source tools for behavioral research.

A free and open digital repository for research outputs.

A platform for sharing and analyzing neuroscience data.

A platform for sharing and analyzing microscopy data.

An open-source platform for sharing research data.

A repository for research outputs, including data, figures, and code.

A platform for sharing and analyzing mouse behavior data.

A platform for sharing and analyzing multidimensional data collected from participants with epilepsy, cerebral palsy, neurodegenerative disorders, depression and neurodevelopmental disorders.

A platform for sharing and analyzing data from children and adolescents with mental health and learning disorders.

A repository for research data across all disciplines.

A platform for sharing and analyzing data from participants with mental health disorders.

A platform for requesting and sharing clinical trial data.

A platform for sharing and analyzing neurophysiology data.

Curated biomedical database that can be accessed globally by approved researchers.

Principles for First Nations, Inuit, and Métis communities that assert their control and self-governance of data collection and storage processes.

Principles for Indigenous data governance that are people and purpose-oriented, reflecting the crucial role of data in advancing Indigenous innovation and self-determination.

A platform for hosting and sharing code, collaborating on projects, and building software.

The most comprehensive AI-powered DevSecOps platform.

A platform for creating, sharing, and running reproducible code environments.

Open-source hardware for brain-computer interfaces for neuroscience and biosensing.

Open-source software and hardware for electrophysiology.

Open-source software and hardware for functional and metabolic brain mapping.

Open-source hardware for in vivo electrophysiology - microdrive systems, rat and mouse head fixation, and more.

A repository of open source plans and protocols to 3D-Print lab equipment.

A global non-profit organization that promotes and protects open-source software.

A tool to help you choose an open-source license for your code.

List of journals where articles related to different types of software can be published.

The Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), and the Social Sciences and Humanities Research Council of Canada (SSHRC) have developed a policy for open access publications.

>A community-curated online directory that indexes and provides access to high quality, open access, peer-reviewed journals.

An open-access journal from the Society for Neuroscience that publishes high-quality, broad-based, peer-reviewed research.

Life science and medicine. Publishes Reviewed Preprints that combine the advantages of preprints with the scrutiny offered by peer review.

Free and open catalog of research.

A free distribution service and an open-access archive for scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, and statistics.

A free online archive and distribution service for unpublished preprints in the life sciences.

A free preprint service for the psychological sciences.

A free online archive and distribution service for unpublished preprints in the medical and health sciences.

Preprint server for Jupyter notebooks and interactive data analyses.

Find information about journals in your field that offer discounts and fee waivers through Western’s membership.

A platform for sharing and analyzing data from researchers at Western University.

Find information about research involving Indigenous communities and resources for working with Indigenous data.

Western Open Neuroscience Knowledge Base.

Western’s institutional repository for research and scholarly output. You can make your article open access on Western University’s institutional repository. Simply email your manuscript to WINopenscience@uwo.ca and your article will be published on the repository.

"Our research will adhere to open science principles by ensuring that all data, code, and methodologies are freely accessible to the public, fostering transparency and reproducibility in our work."

"We will deposit all datasets generated during this project in publicly accessible repositories, such as [repository name], in compliance with the FAIR (Findable, Accessible, Interoperable, Reusable) data principles. In doing so, this will maximize the research investment by enhancing data reuse, reproducibility and data quality."

"We are committed to publishing our findings in open access journals to ensure that our research is freely available to the global scientific community and the public. This will also increase the impact and reach of this research."

"The software and tools developed during this project will be released as open source under [specific license, e.g., MIT, GPL] and made available on platforms such as GitHub and accompanied by thorough documentation to facilitate widespread use and collaborative improvement."

"To enhance the rigor and transparency of our research, we will pre-register our study protocols and hypotheses on [platform name, e.g., OSF, ClinicalTrials.gov].”

"As part of our commitment to transparency and rigor, we will submit registered reports to peer-reviewed journals, ensuring that our study protocols and hypotheses are reviewed and accepted before data collection begins."

State how the community will be involved in open science, such as whether the data or database will live with the community partners.

"Involving community members in the research process ensures that the study addresses relevant questions and translates findings into everyday language, making results more understandable to the wider community. Open access publication further enhances accessibility by removing financial barriers, allowing anyone with internet access to benefit from the research. This approach ensures that findings are not only widely disseminated but also seen as credible and relevant by policymakers, thereby increasing the likelihood that the research will inform policy and practice improvements."

"We will collaborate with Indigenous communities to ensure that our research respects Indigenous data sovereignty, adhering to the principles of Ownership, Control, Access, and Possession (OCAP) to ensure that data is managed in a way that benefits and respects the community. This approach fosters trust and strengthens partnerships with Indigenous communities, leading to more relevant and impactful research outcomes."

"Our project will include the creation of a secure data repository managed by Indigenous communities, ensuring that they retain ownership and control over their data. Community-managed repositories empower Indigenous communities to maintain control over their data, supporting self-determination and long-term data stewardship."

"We will adhere to the Ownership, Control, Access, and Possession (OCAP) principles for Indigenous data governance, ensuring that data collection processes are controlled by Indigenous communities and that data are owned and controlled by the community."

"Our project will actively collaborate with other research groups and integrate data from various sources, including open data repositories such as [e.g., Healthy Brain Network, OpenNeuro]. By leveraging open datasets to maximize statistical power, fostering scientific collaboration to enhance impact, and sharing our results as a preprint for faster and wider dissemination, we will significantly advance the reach and influence of our research."

“We are committed to not only conducting high-quality research but also ensuring that our findings are widely accessible and impactful. Our previous project utilizing open science had over 15,000 downloads from across the world, 15 citations for our open software tool, and our open data cited by 17 users. The data indicates a significant engagement from researchers and institutions worldwide in various formats, reflecting the relevance and applicability of our work on a global scale.”

"Our research plan includes the creation of an open access database [include link] that will be continuously updated throughout the project’s lifespan and made available to the research community and the public. The data will be maintained by the research team and can be accessed through [manuscript, website, etc]."

"Our project will contribute to existing open data initiatives by integrating our findings with large-scale databases, such as [xyz], to enhance the collective understanding of the research topic."

"Our methodologies, including detailed protocols and analysis scripts, will be shared on platforms such as GitHub to promote transparency and allow others to replicate our study."

"To support the integration of our findings into educational curricula, we will develop open and free teaching materials and resources for educators at various levels."

"Our methodologies, including detailed protocols and analysis scripts, will be shared on platforms such as GitHub to promote transparency and allow others to replicate our study."

"All research outputs, including publications, datasets, and software, will be published under open licenses, ensuring they are freely accessible and can be used without restrictions."

"Funds are allocated to cover the costs associated with data management, including data curation, storage, and sharing, to ensure that our research outputs are openly accessible and preserved for long-term use in accordance with the FAIR principles."

"To enhance the quality and impact of our research, the budget includes funds for supporting open science practices, including data and code sharing, creating training materials on our methodologies, and covering article processing charges for open access publishing."

"Funds are allocated for open-access publication fees (APCs) ensuring that our research outputs are freely available to all stakeholders."