Announcing the NFDI4Ing Community Survey 2022

NFDI4Ing is running a community survey on the state of research data management (RDM) in the engineering sciences. You can participate in the survey by following this link: https://nfdi4ing.de/survey.

One of the goals of the survey is to tailor the consortium’s services precisely to the needs of engineers. To obtain a detailed picture of the state of RDM in the individual engineering disciplines, we hope for numerous participants from all fields of engineering.

Fig. 1: Illustration of a survey by iKrUeMeL on Pixabay

The first online survey of the NFDI4Ing consortium in 2019 gained a lot of support from you, our community. A total of 701 questionnaires were answered, 618 of which were completed in whole. You can find the results from 2019 by following this link.

We would like to build on the success of 2019 with this year’s survey and hope for your support. We are pursuing several goals with our annual online surveys. First, we would like to obtain a detailed and up-to-date picture of the status quo of research data management in the various engineering communities. Second, we would like to use the opportunity to learn more about your needs and requirements regarding RDM services, so that we can adjust our service portfolio or the scope of individual services accordingly, if needed.

Additionally, recurring surveys help us to evaluate and question ourselves and our progress in achieving our goal of providing targeted support for engineers in dealing with your research data.

You can participate in the survey by following this link: https://nfdi4ing.de/survey.

J. Linxweiler

Tags

NFDI4ING services may be relevant to different users according to varying requirements. To support filtering or sorting, we added a tag system outlining which archetype, phase of the data lifecycle, or degree of maturity a service corresponds to. By clicking on one of the tags below, you can get an overview of all services aligned with each tag.

This service has the following tags:

The tags correspond to:
The Archetypes: Services relevant to Alex – Bespoke Experiments, Betty – Research Software Engineering, Caden – Provenance Tracking, Doris – High Performance Computing, Ellen – Complex Systems, Fiona – Data Re-Use and Enrichment

The data lifecycle: Services related to Informing & Planning, Organising & Processing, Describing & Documenting, Storing & Computing,
Finding & Re-Using, Learning & Teaching

The maturity of the service: Services sorted according to their maturity and status of their integration into the larger NFDI service landscape. For this we use the Integration Readiness Level (IRL), ranging from IRL0 (no specifications, strictly internal use) up to IRL4 (fully integrated in the German research data landscape and the EOSC). Click here for a diagram outlining all Integration Readiness Levels.

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