Research software development at Helmholtz

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Research software development at Helmholtz

Software is an important innovation factor and an integral part of modern research. Besides the usage of existing software, the development of new software packages, scripts and tools increasingly becomes the norm in research. But how can we create better and more sustainable software to reproduce and improve scientific results?

By participating in this survey you can help us to find out more about the current role, practice and demands of research software development at Helmholtz. On this basis, we want to improve the environment, tools and support activities as well as documentation and training for research software developers at Helmholtz.

Who conducts this survey?

This survey is conducted by the Software Services Cluster of the HIFIS platform (https://www.hifis.net). HIFIS aims at ensuring an excellent information environment for outstanding research in all Helmholtz research fields by providing a seamless and performant IT-infrastructure, connecting knowledge from all centers. It will build a secure and easy-to-use collaborative environment with ICT services efficiently accessible from anywhere. HIFIS will also support the development of research software with a high level of quality, visibility and sustainability.

How long will it take?

There are 29 questions in this survey. It takes about 20 minutes to answer them.

Where is the survey data stored?

The survey infrastructure for this joint effort is kindly provided by the German Cancer Research Center (DKFZ). DKFZ hosts the open source survey tool LimeSurvey (https://www.limesurvey.org). All data is stored on servers of DKFZ.

What will happen to the results of this survey?

We will publish an internal report about the results. We want to use it to improve the environment and existing support activities for research software developers at Helmholtz. In addition, the publication of a scientific publication is planned to contribute to the general discussion of software development practice in research. We anonymize the data upon data collection and make sure that the published reports do not allow cross identification.