Research Data Management
1 reportResearch Data Management is a research method used to collect, compare, or analyze evidence under explicit design assumptions. Valid use requires data collection, bias source, and sampling design, with transparent assumptions and checks against bias or model misspecification.
The documented context of Research Data Management includes study design; sampling and measurement; and bias control. Conclusions concerning study design remain tied to protocol transparency, sensitivity analysis, and transparent methods; the evidence is read with the caveat that violated assumptions or selective reporting can change the conclusion.
The documented context of Research Data Management includes study design; sampling and measurement; and bias control. Conclusions concerning study design remain tied to protocol transparency, sensitivity analysis, and transparent methods; the evidence is read with the caveat 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