Implementing Open Science in the Research Lifecycle
Open Science practices can be implemented at almost every stage of a typical research workflow. Researchers 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. The infographic to the left details suggested strategies for various stages of the research life cycle.
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.
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.
- How to GO FAIR describes a three-point framework that formulates the essential steps towards implementing FAIR Principles
Attribution
This guide was created using many resources, many of them are linked throughout the guide. This guide was also built using information from UTSA Libraries and Museums guide on Open Science by Rachel Davis.