About ing.grid

ing.grid is a scholarly-led journal for FAIR data management in engineering sciences.

ing.grid is committed to the principles of Open Access, Open Review and Open Data. Open Access facilitates the dissemination of scientific discoveries, making them operational for addressing societal issues. Open Review nurtures and improves the quality of vibrant scholarly discussion. Open Data enhances transparency of scientific processes, accountability of researchers and reusability of research results.

Firmly rooted in the engineering sciences, ing.grid welcomes contributions from all engineering subject areas as it recognises connections and common practices across all subdisciplines of the engineering community. ing.grid encourages active interdisciplinary exchange of experiences within and beyond engineering sciences.

If data are the resource of the 21st century, then data management is the necessary power station of modern engineering sciences including data sciences that converts the resources into usable energy. The scientific method includes hypothesis, abstraction, experiment (simulation), verification and validation. In ing.grid, we believe that the scientific method needs to be expanded to include data literacy, data management and data infrastructure in engineering, as experimental data increasingly come from the field rather than a laboratory.

Hence, data management in engineering sciences becomes a focused subject of scholarly research in its own right. ing.grid is the platform on which the results of this research are published and discussed.

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