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  1. Disseminate Primary Research
  • What is Synthesis-Ready Research?

  • Design Experiments

  • Register Experiments

  • Disseminate Primary Research

On this page

  • Open Data
  • Open Methods

Disseminate Primary Research

Openly disseminating research in a transparent manner is crucial for advancing systematic reviews and evidence-based decision making. It enables the synthesis of diverse studies, providing a comprehensive analysis of existing evidence. This transparency promotes results reproducibility and ensures an accurate assessment of knowledge on a particular topic. Accessible and synthesisable research empowers decision-makers and contributes to the development of informed policies and practices. By openly sharing methodologies, data, and outcomes, researchers create a collaborative knowledge ecosystem that fosters trust and enhances the reliability and relevance of evidence in decision-making processes.

Open Data

Open Data Commons

Open Data Commons is a data sharing portal and repository for data in specific disease domains. The Open Data Commons portal:

  • Share data with your colleagues in a protected space and publish data publicly with a DOI.
  • Supports compliance with the FAIR data principles to ensure data is Findable, Accessible, Interoperable and Reusable.
  • Promotes transparency and reproducibility for our common goal to find cures for serious medical conditions.
  • Allows the community to meet increasing funder and journal data sharing requirements.
ODC-SCI

Spinal Cord Injury
https://odc-sci.org/

ODC-TBI

Traumatic Brain Injury
https://odc-tbi.org/

ODC-Stroke

Coming Soon


Open Methods

Protocols.io

Protocols.io is a collaborative platform designed to facilitate the sharing of research protocols and methods. It serves as a centralised repository where researchers can publish, discover, and discuss experimental techniques across various scientific disciplines with ease and efficiency.

  • Collaboration: Enables researchers to collaborate on protocols and share expertise.

  • Reproducibility: Enhances the reproducibility of experiments by offering detailed, version-controlled protocols.

  • Visibility: Increases the visibility and impact of your research methods, as each protocol can be cited with a DOI.

  • Experiment Tracking: Run protocols as checklists and record changes in your File Manager, which you can choose to keep private or share.

  • Quality Control: Protocols are peer-reviewed, ensuring a high standard of scientific rigor.

Interested in mastering Protocols.io? Check out the Tutorials for quick, insightful guides on using the platform effectively.

Project funded by Volkswagen Stiftung.

We are a community. You can read about our Policies and Code of Conduct, which applies across our community platform, digital and in person events.