Dataset for article "Measuring FAIR Data Compliance in German Energy Research"

This dataset was used as a data corpus for a comparative analysis titled “Measuring FAIR Data Compliance in German Energy Research: A Follow-Up Assessment to ‘Unveiling Openness in Energy Research’ Using OpenAlex, F-UJI, and FAIR-Checker “

The CSV file (2025-11-09_Dataset(1545)_OpenAlex(xpac)_Energy_Ger_2015-2025) was obtained on November 9, 2025 using the following query specifications: Field: Energy; Continent: Europe; Year: 2015-2025; Country: Germany; and Type: dataset. It was obtained from the OpenAlex database in the “Walden” version. This procedure resulted in a total of 1,545 datasets. Based on this file, a random sample of 384 dataset (Sample_Fuji_FC_results_384_doi - fuji_+FC_results_OA_year_repos.csv) was extracted for detailed evaluation.

This dataset was collected, processed, and used to answer the following research questions:

RQ1: To what extent are FAIR principles adopted in contemporary energy research datasets?

-          What is the average FAIR score of the datasets?

-          Which criteria of FAIR (Findable, Accessible, Interoperable, Reusable) yield consistently higher or lower scores? Are there systematic gaps specific to the energy domain?

RQ2: How do the FAIR scores differ between the results from FAIR-Checker and F-UJI, and what can we learn from them?

RQ3: How do FAIR scores correlate with the characteristics of repositories, institutional affiliations, and open access status of datasets?

-          How does FAIRness differ between repositories/institutions?

-          What do the FAIR scores look like for the datasets from the top institutions in the preliminary study?