ing.grid is a 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.
ing.grid now has a new member on its editorial team: Dr.-Ing. Jörg F. Unger. He is the head of “Modeling and simulation” for Bundesanstalt für Materialforschung und -prüfung (BAM) and have been working on computational mechanics with a focus on additive manufacturing, data management, reproducible scientific workflows and Bayesian inference procedures, as well as reduced order models to improve [...]
Read MoreOn March 21st, Izadora Silva Pimenta presented the concept of ing.grid during the Research Data Alliance 20th Plenary meeting, which is happening in a hybrid format. The presentation was led during the joint session “Automation of LIMS for Data Analysis and Reuse”, which counted with two RDA Groups: Materials Data, moderated by Laura Bartolo (Northwestern University) and Research Data [...]
Read MoreAre you ready to show your datasets to others? Don't be shy: you can find your perfect match or life-changing comments that will clarify your next steps. We can build science together; that is why we want you to participate in our speed dating… with data!As part of the #LoveDataWeek, ing.grid will host a cosy and fun event where you can show your unfinished datasets relevant to an engineering or [...]
Read MoreThe international online journal ing.grid is now accepting submissions addressing FAIR data management in engineering sciences.With an open access policy, the journal bridges a gap in the field, offering a platform and recognition for sound scientific practice in generating research data, developing reusable tools for processing that data and curating the data to make it findable, accessible, [...]
Read MoreKevin Logan presented the Open Peer Review process used by ing.grid at the Open Science forum of the Rhein-Main Universities on November 30th, 2022.The panel included Thomas Kollatz (Buber-Korrespondenzen Digital) and Anna Klamet (AuROA) and was moderated by Kerstin von der Krone (Specialised Information Service for Jewish Studies). The panelists discussed how advanced the open science endeavours [...]
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