Open Data

2 reports
Open Data is a research method used to collect, compare, or analyze evidence under explicit design assumptions. The method is judged through analysis workflow, uncertainty estimate, and experimental control, especially where design choices change uncertainty or causal interpretation.

A detailed treatment of Open Data follows study design; sampling and measurement; and bias control. The strength of statements about study design depends on how well sensitivity analysis is supported by replication or validation; the result is bounded by the possibility that violated assumptions or selective reporting can change the conclusion.

Open CSP Tower Data Set Aims to Advance Solar Thermal Research

A new open-access database from German researchers provides detailed operational data from a solar power tower facility, aiming to accelerate research on concentrated solar power and improve the technology's efficiency and deployment

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How Physics Tools Are Shaping Food System Modeling and Policy

Sarah Bridle, a physicist with a background in cosmology, is applying quantitative modeling and open-data practices from astrophysics to analyze food systems, land use, and climate impacts, revealing new challenges for sustainable agriculture

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