Open Science

A guide to open science principles.

Implementing Open Science in the Research Lifecycle

Open Science practices can be implemented at almost every stage of a typical research workflow.  Scientists are encouraged to explore open research strategies, including but not limited to: organizing files on an Open Science platform such as OSF, or getting into the habit of pre-registering studies.

Shifting to open research practices may feel overwhelming, particularly for graduate students or new researchers starting their careers, so it’s important to keep in mind that many researchers advocate for an incremental approach that highlights a gradual adoption of practices that work best for your particular research project. The infographic below details suggested strategies for various stages of the research life cycle.

Select the tabs on the left to find resources specific to each stage of the research life cycle.  

Open science in practice infographic

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FAIR Principles

The "FAIR Guiding Principles for scientific data management and stewardship" were published in 2016 in the journal Scientific Data.  The intention of the authors was to develop guidelines for increasing the Findability, Accessibility, Interoperability, and Reuse of digital assets.  The principles refer to three entity types: data, metadata, and infrastructure.  The FAIR Principles align with the goals of Open Science by making research data discoverable and accessible for the reproduction of scientific studies.

 

Description of FAIR Principles

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