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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Research Data Management is becoming a subject of scholarly research in its own right.That's why scholars from engineering sciences and related disciplines engaged in research data management joined forces to provide ing.grid as a platform for scientific discussion on the subject with the support of the University and State Library Darmstadt.In this presentation at the 3rd NFDI4Ing Conference, [...]Read More
Our Managing Editor Kevin Logan attended CoRDI in Karlsruhe to present ing.grid in a poster session for the track Linking RDM.As a platform for scientific discussion on FAIR data management, ing.grid links engineers from all disciplines engaged in RDM activities. Using linked metadata, ing.grid links all three elements of a submission, manuscript, software, and dataset in order to achieve [...]Read More
ing.grid is proud to announce that we had one more successful open peer review process completed through our preprint platform. This led to the publication of the article "Evaluation of tools for describing, reproducing and reusing scientific workflows", available at https://doi.org/10.48694/inggrid.3726.In this article, the authors Phillip Diercks, Dennis Gläser, Ontje Lünsdorf, Michael Selzer, [...]Read More
From now on, we have established new channels for more effective contact with the ing.grid managing editors. This way, we are available to answer questions regarding the open peer review process, clarify steps for editing a publication, and solve any other problems that you may have regarding the journal and its functionality. ing.grid Office Hours: Wednesdays 09:00 - 11:00 CE(S)T on [...]Read More
In a move to promote inclusivity and ensure equitable access to scholarly content, ing.grid has made a significant update to its Author Guidelines. The latest revision incorporates comprehensive image accessibility guidelines aimed at enhancing the reading experience for individuals with visual impairments.The decision to incorporate image accessibility guidelines was driven by ing.grid's [...]Read More