A scholarly-led, Diamond Open Access journal for publishing, reviewing and discussing research data management in engineering sciences.
As research data management (RDM) becomes central to engineering sciences, researchers, data stewards, and practitioners need a place to publish, discuss, and get academic credit for this work. ing.grid – FAIR Data Management in Engineering Sciences is that place. A scholarly-led Diamond Open Access journal, ing.grid uses open peer review to foster transparent scientific discussion. It accepts manuscripts, open access datasets, and open source software — each reviewed on its own terms. The journal runs on the open-source platform Janeway and is backed by an international editorial board of RDM experts from NFDI4ING and beyond.
What you can publish
ing.grid covers seven core topics in research data management. Contributions from all engineering subdisciplines – and beyond – are welcome.
| Data Literacy | Educational concepts, best practices, case studies |
| Data Infrastructure | Tools for the data-rich research environment |
| Data Governance | Curation strategies, collaboration frameworks |
| Data Economics | Value and impact of research data |
| Data Ethics | Moral dimensions of data generation, sharing, and use |
| Datasets | Good practices in structuring data and exchange formats |
| Data Management Software | Tools built specifically for RDM |
Our Principles
Diamond Open Access
Open Peer Review
FAIR by Design
Beyond Manuscripts
Free for readers and authors. No article processing charges, ever.
Transparent, post-publication review. All review comments are publicly accessible.
FAIR principles are embedded across the entire workflow — from what authors must provide, to how reviewers assess, to what gets published.
Submit manuscripts, datasets and APIs, or research software — each reviewed on its own terms.
Submission Types
ManuscriptResearch articles, best-practice reports, and educational material. |
SoftwareStand-alone modules for engineering RDM, with documentation and sample data. |
DatasetCollections of research data with a full data descriptor. |
|
|---|---|---|---|
| Mandatory | Manuscript | Descriptor, Link to Software | Descriptor, Link to Data |
| Optional | Link to Data, Link to Software | Link to Data | Link to Software |
Get involved
| Submit your work | Manuscripts, datasets, and software are welcome. | submit |
| Review for ing.grid | Register as a reviewer and contribute your expertise. | become a reviewer |
| Read and discuss | All articles and review comments are freely accessible. | browse articles |
Access and Participation
Open to everyone. All articles are open access under CC BY 4.0. Reading articles and review comments requires no account. To post community comments, submit manuscripts, or register as a reviewer, create a free account at inggrid.org. As a diamond open access journal, ing.grid charges neither readers nor authors.
Questions or feedback? Get in touch — we’d love to hear from you.
📧 editors@inggrid.org
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References
Kleinhans, Agnes, Logan, Kevin; Leštáková, Michaela; Pelz, Peter F. (2025): Bridging the Troubled Waters of Peer Review with ing.grid: Towards Openness, Fairness and F.A.I.R.-ness, in Heuveline, Vincent et al. (Hrsg.): E-Science-Tage 2025: Research Data Management: Challenges in a Changing World, Heidelberg: heiBOOKS, DOI: https://doi.org/10.11588/heibooks.1652.c23942
Silva Pimenta, Izadora; Logan, Kevin; Leštáková, Michaela; Pelz, Peter F.; Günther, Anne-Christine; Kerekes, Matthias; Kraußold, Sebastian (2023): Open Peer Review for a Transparent and Engaging Scientific Environment: Towards a FAIR Journal. The Lower Decks. A Symposium on Janeway and Open Access Publishing, London, United Kingdom, 07.-08.09.2023, DOI: https://doi.org/10.26083/tuprints-00024577
Logan, Kevin; Silva Pimenta, Izadora; Leštáková, Michaela; Pelz, Peter F. (2023): A FAIR Future for Engineering Sciences – Linking an RDM Community through a Scientific Journal. 1st Conference on Research Data Infrastructure (CoRDI), Karlsruhe, Germany, 12.-14.09.2023. 10.26083/tuprints-00026332
Silva Pimenta, Izadora; Logan, Kevin; Leštáková, Michaela; Pelz, Peter F. (2023): Research outcomes and scholarly publishing: FAIR principles as quality assessment. Data Stewardship goes Germany (DSgG), Dresden, Germany, 25.-26.09.2023 https://doi.org/10.26083/tuprints-00026331