Next meeting of NFDI4Ing’s SIG QA & metrics
14.04.2023
No Comments
Am 14. April 2023 von 09 bis 11 Uhr findet das nächste Treffen der SIG QA & metrics der NFDI4Ing statt. Read more…
Am 14. April 2023 von 09 bis 11 Uhr findet das nächste Treffen der SIG QA & metrics der NFDI4Ing statt. Read more…
Save the date – NFDI4Ing Online-Workshop on March 28, 2023: Research Data Management for Data from HPC Read more…
The next onboarding for new employees in NFDI4Ing will take place on 22.03.2023, from 09:00 to 12:00 A.M. The aim of the (virtual) event is to provide an overview of the topics and tasks of the consortium and to introduce the larger NFDI context. Read more…
On Monday, March 20th, NFDI4Ing takes part in the NFDI ToolTalks. Ilona Lang (RWTH Aachen) will present and give an introduction to the RDM platform Coscine. Read more…
The next NFDI4Ing community meeting is designed as a workshop to teach approaches for sustainable software development in the context of science. The main focus will be on automation approaches using Continuous Integration (CI) and software testing. The Community Meeting will take place on March 17th. Read more…
To introduce new members into the larger NFDI context, the NFDI Directorate hosts its own onboarding event on March 15th, 2023 from 10:30 a.m. to 12 p.m. The event will be held in English. Read more…
On Friday, March 3rd, the working group Identity & Access Management (IAM) of the NFDI Section Common Infrastructures is hosting a workshop on IAM basics from 1 P.M. to 4:30 P.M. The workshop is intended as an introductory event. Read more…
NFDI4Ing cordially invites you to participate with a contribution on this years conference! The motto of the NFDI4Ing conference 2023 is “Innovation in Research Data Management: Bridging the gaps between disciplines and opening new perspectives for research in engineering science”.
The 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, interoperable, and reusable (FAIR).