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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Christopher Schnur, Tanja Dorst, Kapil Sajjan Deshmukh, Sarah Zimmer, Philipp Litzenburger, Tizian Schneider, Lennard Margies, Rainer Müller, Andreas Schütze
PIA - A Concept for a Personal Information Assistant for Data Analysis and Machine Learning of Time-Continuous Data in Industrial Applications
ing.grid is proud to announce that our first Data Management Letter is now published in the journal. In this letter, we have an interesting discussion led by Prof. Dr Petra Gehring (Technische Universität Darmstadt), topical editor of ing.grid, regarding sharing data.Data Management Letters are published in ing.grid on an invitation-only basis as a fourth submission type. Data Management Letters [...]
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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 manuscript "Agile Research Data Management with Open Source: LinkAhead", available at https://doi.org/10.48694/inggrid.3866 . This is the second publication from our 2022 NFDI4Ing Conference Special Issue.The authors Daniel Hornung, [...]
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Starting now, ing.grid is aligning itself with the movement of NFDI and numerous NFDI consortia to cease our activities on the social network X, formerly known as Twitter.We are committed to sharing our updates on platforms that better reflect our values. We invite you to follow us on our Mastodon and BlueSky accounts. Our X/Twitter account remain active as archive.You can find the official [...]
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On December 13th, the managing editors of ing.grid held an online workshop open to potential authors.During the workshop, we conducted a live demonstration of the submission of a preprint to our preprint server, and we also demonstrated how our open peer-review process works. Additionally, potential authors could gain an overview of the journal's workflow.The workshop was recorded and is now [...]
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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 manuscript "Towards Improved Findability of Energy Research Software by Introducing a Metadata-based Registry", available at https://doi.org/10.48694/inggrid.3837. This is the second publication from our 2022 NFDI4Ing Conference Special [...]
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