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. This 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.
The journal is committed to the principles of Open Data, Open Access and Open Review. Open Data enhances transparency of scientific processes, accountability of researchers and reusability of research results. Open Access facilitates the dissemination of scientific discoveries, making them operational for addressing societal issues. Open Review nurtures vibrant scholarly discussion.The journal is firmly rooted in the engineering sciences. It welcomes contributions from all engineering subject areas. Moreover, the journal recognizes connections and common practices across all subdisciplines of the engineering community and encourages active exchange of experiences.
The process of constituting the editorial board and developing the journal is still ongoing. We are aiming for releasing a call for papers early next year and for publishing a first issue by March 2022.Read More
How will the scientific method evolve in the 21st century? What new methods for scientifc publishing in the engineering sciences will be established in the coming years? As a new journal which addresses these issues ing.grid was announced at the annual conference of the consortium NFDI4Ing, hosted by TU Braunschweig on 27th and 28th September 2021. As an open access journal with an open reviews [...]Read More