Sprache: English
Research Software Engineering (RSE) is fundamental to the German National Research Data Infrastructure (NFDI) to FAIRify data within the Research Data Management Process. This results in FAIRification tools and reproducible workflows implementing the FAIR4RS principles. These are, in short:
- F: Software, and its associated metadata, is easy for both humans and machines to find
- A: Software, and its metadata, is retrievable via standardised protocols
- I: Software interoperates with other software by exchanging data and/or metadata, and/or through interaction via application programming interfaces (APIs), described through standards
- R: Software is both usable (can be executed) and reusable (can be understood, modified, built upon, or incorporated into other software)
One of the main goals of the NFDI initiatives is to interlink and perform knowledge transfer within the different Communities of Practices on Research Software Engineering to create sustainable methods and services.
The overarching goal of the Research Software Engineering Community Cluster is the interdisciplinary exchange in developing sustainable research software. The cluster defines research software as software and tools used to generate, process, analyse, link or present research data. This includes statistical analyses, e.g. with R and Python, or the visualisation of geo or 3D data in web platforms. The CC is dealing with strengthening RSE and the community in computational archaeology and the digital humanities, implementing the FAIR4RS principles in the scientific process, developing sustainable FAIRification tools and integrating RSE in research and teaching.
Within the NFDI e.V., several sections deal with overarching topics, including RSE technologies and knowledge, especially the "Section Common Infrastructures" with its working groups on "Data Integration (DI)", "Data Management Planning (DMP)", "Data Science and Artificial Intelligence (DSAI)", "Electronic Lab Notebooks (ELN)", "Persistent Identifiers (PID)" and "Research Software Engineering (RSE)". The RSE working group connects the NFDI consortia in software-related aspects. It focuses on Research software, software communities, and software infrastructure at NFDI. The working group operates a central forum in an advisory and supportive capacity. It establishes the necessary software ecosystem within NFDI for the professional development of software infrastructure components, which represent an integral part of the NFDI. In addition, the working group serves as an interface for the NFDI to compare European and international initiatives to promote the connectivity of the NFDI with other infrastructures. The WG RSE comprises several tasks that are also related to Base4NFDI: Task Jupyter Services, Task Software Marketplace, Task Training Materials, Task Mission Statement, Task Status Quo Survey and Report, Task Overarching Initiatives, Task Software Ecosystem, Task Use Cases, Task Quality Criteria for Research Software, and Task Criteria for NFDI Components.
This poster shows the main subjects, challenges, and participation opportunities for Research Software Engineers within the NFDI in cooperation with the Community Cluster RSE, the Working Group RSE (INFRA-WG-RSE), CAA-DE, CAA International, and deRSE. It serves as a communication point for researchers dealing with this topic.
This is a poster of the Community Cluster Research Software Engineering and the Working Group Research Software Engineering (RSE) within the NFDI e.V. section Common Infrastructures in cooperation with the CAA-DE association “Computeranwendungen und quantitative Methoden in der Archäologie (CAA) e.V.”, the CAA international Community of Practice “Little Minions” and the Arbeitskreis NFDI of the “de-RSE e.V. - Gesellschaft für Forschungssoftware”.
Research Software Engineer @ NFDI4Objects TA2, originally studied Geoinformatics and Surveying (M.Sc. 2013, FH Mainz), a digital thinking software engineer and geodesist with passion for Linked Open Data, currently working as Research Software Engineer (RSE) at the IT department of the Leibniz-Zentrum für Archäologie (LEIZA), with more than 10 years of professional experience within the field of Digital Humanities and the growing scientific digital archaeological community.