Open and FAIR practices increase the usability and equity of climate-risk research.
Category: Innovation & Design · Effect: Strong effect · Year: 2023
Adopting open and Findable, Accessible, Interoperable, Reusable (FAIR) practices in climate-risk research significantly enhances the usability and equitable distribution of critical information.
Design Takeaway
Embrace open and FAIR principles to ensure climate-risk research is more accessible, trustworthy, and adaptable for a wider range of applications and users.
Why It Matters
This approach fosters greater trust and allows for timely adaptation of research findings to diverse contexts. By making data and methodologies transparent, it prevents potential misguidance in critical decision-making processes related to housing, finance, and policy.
Key Finding
A significant majority of climate-risk research is not open or FAIR, limiting its usability and equitable access, which can lead to flawed decision-making.
Key Findings
- Only 4% of highly cited climate-risk studies fully share their data and code.
- Open and FAIR practices enhance the credibility, legitimacy, and timely reuse of climate-risk research.
- Closed models in the climate services industry risk misguiding decisions with broad consequences.
Research Evidence
Aim: What are the impacts of adopting open and FAIR practices on the usability and equity of climate-risk research?
Method: Quantitative analysis and literature review
Procedure: The study analyzed the openness of climate-risk research by examining the availability of data and code in highly cited studies. It also reviewed existing literature on the benefits of open and FAIR practices in scientific research and discussed strategies for their implementation.
Sample Size: Four percent of most-cited peer-reviewed climate-risk studies
Context: Climate-risk research and management
Design Principle
Openness and FAIRness in research outputs foster greater utility and equitable impact.
How to Apply
When developing climate-risk models or research projects, ensure all data, code, and methodologies are made publicly available and adhere to FAIR principles.
Limitations
The study focused on a specific subset of climate-risk studies and may not represent the entirety of the field. The cost-benefit analysis of implementing open and FAIR practices requires further detailed investigation.
Student Guide (IB Design Technology)
Simple Explanation: Making climate research open and easy to share means more people can use it correctly and fairly, which helps us make better decisions about climate change.
Why This Matters: Understanding open and FAIR practices is crucial for creating research that is not only scientifically sound but also practically useful and accessible to a broad audience, promoting more informed decision-making.
Critical Thinking: To what extent do the perceived costs of implementing open and FAIR practices outweigh their long-term benefits for climate-risk research and its application?
IA-Ready Paragraph: The research highlights that adopting open and FAIR practices is essential for enhancing the usability and equity of climate-risk research. By ensuring data and methodologies are Findable, Accessible, Interoperable, and Reusable, researchers can foster greater credibility, legitimacy, and timely adaptation of findings, thereby preventing potential misguidance in critical decision-making processes.
Project Tips
- Clearly document all data sources, methodologies, and code used in your design project.
- Consider using open-source software and platforms where appropriate.
- Plan for how your research outputs will be shared and made accessible.
How to Use in IA
- Reference this study when discussing the importance of data sharing and transparency in your design project's research methodology.
- Justify your choices regarding data management and dissemination by referencing the benefits of open and FAIR practices.
Examiner Tips
- Demonstrate an understanding of how open and FAIR practices contribute to the credibility and usability of research.
- Discuss the potential implications of closed research practices in your chosen design domain.
Independent Variable: Adoption of open and FAIR practices
Dependent Variable: Usability and equity of climate-risk research
Controlled Variables: Type of climate-risk study, citation count, publication year
Strengths
- Highlights a critical gap in current research practices.
- Provides actionable strategies for improvement.
Critical Questions
- What are the primary barriers preventing researchers from adopting open and FAIR practices?
- How can institutions and funders effectively incentivize and support the transition to open and FAIR research?
Extended Essay Application
- Investigate the impact of open data policies on the innovation and diffusion of climate adaptation technologies.
- Analyze the ethical considerations of proprietary climate data versus open access in informing public policy.
Source
Investing in open and FAIR practices for more usable and equitable climate-risk research · 2023 · 10.31219/osf.io/29nhv