[{"content":" Welcome to forschungssoftware.info # Currently, this site is still under construction\n","date":"3 June 2026","externalUrl":null,"permalink":"/en/","section":"","summary":"","title":"","type":"page"},{"content":"","date":"3 June 2026","externalUrl":null,"permalink":"/en/authors/alexander.struck/","section":"Authors","summary":"","title":"Alexander.struck","type":"authors"},{"content":"","date":"3 June 2026","externalUrl":null,"permalink":"/en/authors/","section":"Authors","summary":"","title":"Authors","type":"authors"},{"content":" Update: Material has been uploaded to this Zenodo Community. If you want to shape future RS Days in the area, please join the mailing list.\nWe are pleased to invite you to the Research Software Day Berlin \u0026amp; Brandenburg, which takes place in Berlin on June 3, 2026.\nThe event brings together researchers who (want to) develop software, networking and training initiatives for research software engineering, computer scientists interested in this domain, as well as RDM teams, data stewards, librarians and other research managers who are increasingly confronted with software questions.\nThe aim of the Research Software Day is to learn, share and strengthen local communities around research software as a key component of open and responsible research. It is organized by the Berlin University Alliance (BUA) and the de-RSE e.V. – Society for Research Software in Germany, in cooperation with the Cluster of Excellence Matters of Activity. In addition to the face-to-face event on June 3, online training events are organized during the whole week of June 1-5, 2026 (the first ever Research Software Week in Germany!).\nRegistration closed on 2026-05-05. To be placed on the waiting list please send an e-mail to core@berlin-university-alliance.de. Thank you for your interest. \u0026raquo; Please register here until Mai 19th for the Research Software Day 2026.\nSchedule (see abstracts below) # Time Details From 08:30 Arrival \u0026amp; Coffee 09:00-12:00 Session 1: Hands-on Trainings 2.04/2.05 (1.1) Rechtsfragen bei Forschungssoftware: Urheberrecht, Open Source, Lizenzen und Compliance (in German language) Till Kreutzer (iRights) 2.20 (1.2) National High-Performance Computing (NHR): HPC and AI at NHR@ZIB Steffen Christgau, Anirudh Krishnadas and Georgios Nikolis (all ZIB) Central Lab (1.3) How to create better code for better research? Where Small Steps Make Big Differences in Software Quality and Workflow Quality Robert Casties (MPIWG), Julia Damerow (Arizona State), Daniel Nüst (TU Dresden), Malte Vogl (MPI Geoanthropology) 12:00-12:45 Lunch Break 12:45-13:00 Welcome Prof. Manfred Hauswirth (Steering Committee BUA Objective 3 Advancing Research Quality and Value, TU Berlin, Fraunhofer FOKUS, Weizenbaum-Institut) 13:00-13:45 Keynote: “Better Software, Better Research”: How Research Software Engineering (RSE) Improves Scientific Practices Prof. Anna-Lena Lamprecht (Universität Potsdam) 13:45-14:30 Networking and Coffee with booths by - FuturRSI - Research Software Engineering Award der Klaus Tschira Stiftung\n- Open Research Office Berlin - Wikimedia \u0026amp; Research Software Discovery - Digital Humanities Berlin 14:00-14:30 Matters of Activity Showroom tour 14:30-15:30 Session 2: Workshops, Talks and Meetups 2.20 (2.1) Unveiling the Iceberg: Enhancing the Quality and Visibility of Research Software at Helmholtz Antonia Schrader (Helmholtz Open Science Office) Central Lab (2.2) Connecting the Dots: Publications, Data, Models, and Code in the GenAI Era Prof. Sonja Schimmler (TU Berlin, Fraunhofer FOKUS, Weizenbaum-Institut), Dr. Angelie Kraft (Weizenbaum-Institut) 2.19 (2.3) RSE Education: Into the Light Julian Dehne (GI), Magnus Hagdorn (Charité), Nick Del Grosso (University of Bonn, ibehave.nrw) 2.04/2.05 (2.4) Reproducible Computational Analyses Jochen Knaus (Weizenbaum-Institut) 15:30-16:00 Coffee Break 16:00-17:00 Session 3: Workshops, Talks and Meetups 2.20 (3.1) From Experiment to Ecosystem: HU’s AI Service Infrastructure Malte Dreyer (HU Berlin) 2.04/2.05 (3.2) AI Research Governance. Responsiblity, regulation and guidelines in context of research developments Carolin Odebrecht (HU Berlin) 2.19 (3.3) 20 years of Open Source - lessons learned Max Moorkamp (TU Berlin) Central Lab (3.4) Open Networking. Visit the booths! 17:00-17:15 Wrap-up and Closing Location # Cluster of Excellence Matters of Activity at Sophienstr. 22a, 10178 Berlin\nwheelchair accessible Open Street Map or Google Maps in the 2nd backyard turn right and use the elevator or stairs to the 2nd floor and turn right into our central lab Nearby public transport: U8 Weinmeisterstraße, S Hackescher Markt, Tram M1 Weinmeisterstraße/Gipsstraße, train station Alexanderplatz parking spots for bicycles only (2nd backyard) Funding # The BUA and their Center for Open and Responsible Research (CORe) and Open Science Ambassadors Program cover the costs for the RS Day and have staff assigned to the event organization.\nThe event is greatly supported by the de-RSE association.\nWe gladly acknowledge local support from the Cluster of Excellence Matters of Activity.\nContact # For questions, feedback, etc. please contact Claudia Göbel and/or Alexander Struck.\nAbstracts # Session 1: Hands-on Trainings (09:00-12:00) # (1.1) Rechtsfragen bei Forschungssoftware: Urheberrecht, Open Source, Lizenzen und Compliance (in German language) Till Kreutzer (iRights) Der Workshop bietet einen praxisnahen und allgemeinverständlichen Überblick zu rechtlichen Aspekten des Softwareschutzes, insbesondere in Bezug auf Freie und Open Source Software (FOSS). Mit Fokus auf den wissenschaftlichen Kontext werden insbesondere urheberrechtliche Ausgangsfragen, die Systematik, Funktionsweise, sowie typische Lizenzpflichten von Open-Source-Lizenzen, Copyleft- und License-Compliance-Aspekte beleuchtet. Ziel ist es, Orientierung beim rechtssicheren Umgang mit Forschungssoftware in der täglichen Arbeit zu geben und rechtliche Risiken besser einordnen zu können. Es wird viel Raum für Nachfragen und Diskussionen geben.\n(1.2) National High Performance Computing (NHR): An Introduction to the NHR@ZIB Site Georgios Nikolis (ZIB), Steffen Christgau (ZIB) The National High‑Performance Computing Initiative (NHR) offers free, large‑scale computational resources and topic‑specific consulting to scientific projects at public universities across Germany. With nine sites nationwide, the NHR is a key partner for researchers who require high‑performance computing (HPC) at scale. The Berlin node—NHR@ZIB—resides at the Zuse Institute Berlin (ZIB) and operates the LISE supercomputer. In this session we will present an overview of the NHR’s mission, governance and infrastructure, followed by a detailed look at the services available through NHR@ZIB. We will illustrate how HPC and AI are applied in natural and life sciences through concrete use‑case examples, highlighting the impact of high‑performance resources on research outcomes.\n(1.3) How to create better code for better research? Where Small Steps Make Big Differences in Software Quality and Workflow Quality\nRobert Casties (MPIWG), Julia Damerow (Arizona State), Daniel Nüst (TU Dresden), Malte Vogl (MPI Geoanthropology) When in the research lifecycle do small interventions yield the largest gains in code, workflow, and research quality? This hands-on session explores that question by combining two complementary initiatives: CODECHECK https://codecheck.org.uk/, which independently checks computational workflows as part of peer review, and the DHTech Code Review Working Group https://dhcodereview.github.io/, which provides collaborative code review for in-progress research software. After introducing both initiatives, we examine diverse perspectives on what \u0026ldquo;good software/workflows\u0026rdquo; means in research contexts, discuss incentives and benefits, and identify practical, low-barrier quality improvements that individual researchers/developers as well as communities can adopt.\nSession 2: Workshops (14:30-15:30) # (2.1) Unveiling the Iceberg: Enhancing the Quality and Visibility of Research Software at Helmholtz Antonia Schrader (Helmholtz Open Science Office) Open research software is central to transparent and reproducible science: only when both research data and program code are freely accessible can results be verified, reproduced, and reused. The Helmholtz Open Science Policy serves as the institutional framework to set shared standards and grant software the visibility and recognition it deserves within the Helmholtz Association. This presentation explores how initiatives like the Helmholtz Software Award, the Research Software Directory, and the Helmholtz Quality Indicators for Data and Software Products translate this policy into practice, ensuring the professionalization of research software as a research contribution and a visible pillar of scientific excellence.\n(2.2) Connecting the Dots: Publications, Data, Models, and Code in the GenAI Era Prof. Sonja Schimmler (TU Berlin, Fraunhofer FOKUS, Weizenbaum-Institut) Generative AI is reshaping the research landscape, making transparency and reproducibility more critical than ever. As AI-augmented research cycles rise, this shift concerns all digital artifacts: publications, data, models, and code. This one-hour session explores the essential competencies and infrastructures required for this new era, featuring insights into the NFDI (National Research Data Infrastructure) and Data Competency Centers. Designed for both beginners and experts, the session opens with lightning talks on how GenAI reshapes science and redefines the necessary competencies and infrastructures. This transitions into a hands-on session, where participants engage in peer-to-peer discussions to navigate complex transparency and reproducibility challenges. The session culminates in a collaborative synthesis, drafting an outline for a joint paper to ensure a tangible community contribution.\n(2.3) RSE Education: Into the Light Julian Dehne (GI) RSE Education has started out in some dark corners. PhD students may have had some practical tips from their supervisor. Colleagues meet online, and Stackoverflow has been relevant in building communities of interest. With the rise of the field, RSE education has stepped more and more into the light. First, mentoring and consulting was professionalized. Magnus Hagdorn talks about the Capentries and how they have shaped the RSE community as educators. Next, RSE education as a service was invented to move RSE workshops away from the central IT units toward a more method and research-centric support infrastructure. Nick del Grosse is going to talk about his experience leading such as service group and how he perceives RSE education from that angle. Finally, RSE education is stepping into the light fully by getting recognized and institutionalized as university classes. Julian Dehne talks about his experience coordinating the effort for guidelines for an RSE master as well as his two first RSE-classes taught in 2026 at RWTH.\nBuilding Research Software Capacity with Training-Focused RSE Infrastructure: Experiences from the iBOTS Project Nick Del Grosso (University of Bonn, ibehave.nrw) The iBehave Open Technology Support (iBOTS) group at the University of Bonn builds research software engineering capacity for neuroscience through embedded consulting, practical training, and reusable teaching materials. Using a training-driven philosophy, we support more than 40 labs to help researchers move from fragile scripts to reproducible workflows with Python, Git and GitHub, workflow automation, and data management practices. This talk introduces our service model, teaching and support formats, and the lessons we have learned about scaling community, improving software quality, and making open, sustainable research computing visible in academic work across diverse teams and projects.\n(2.4) Reproducible Computational Analyses Jochen Knaus (Weizenbaum-Institut) The replication and reproduction of scientific results and methods constitute good scientific practice. Despite the fact that software and research software are now deeply embedded in mostly all processes throughout the scientific lifecycle in many scientific domains, this technical aspect is often overlooked: the results of software, despite their nominally deterministic nature of computer programs, is stable, but reproducing them is not guaranteed per se, but require adjustments to methodology and design. This becomes all the more evident when considering the entire class of research software, from a single statistical analysis to infrastructure components, over an extended period of time: can computational results performed with software still be reproduced with reasonable effort even years later? And if not, why not? This talk provides an overview of various challenges and solutions: from individual aspects in the programs, using data formats and data preparation, the use of software libraries and (commercial) third-party software, to approaches using dynamic documents and reproducible workflows, all the way to the technical preservation of entire execution environments. Current topics such as the integration of external AI systems, agents, and Vibe Codings will also be addressed from the view of reproducibility, as well as the status and practices of computational reproducibility within the scientific publishing system will be examined.\nSession 3: Workshops (15:45-16:45) # (3.1) From Experiment to Ecosystem: HU’s AI Service Infrastructure Malte Dreyer (HU Berlin) This talk outlines the development of the AI infrastructure at Humboldt University of Berlin since 2023: from the first locally deployed language model to today’s comprehensive ecosystem comprising privacy-compliant LLMs and encoders, multimodal tools (transcription, image analysis, image generation, document summarisation) and integrations with other services. A key factor in its success is the operating model, which does not log personal data whilst ensuring API availability for in-house applications – complemented by the interactive ‘AI Teatime’ format, which feeds user requirements directly into development. The infrastructure is complemented by formats designed to promote AI literacy and platforms for Retrieval Augmented Generation (RAG) to create agent-based interaction formats in the fields of research, teaching and administration.\n(3.2) AI Research Governance. Responsiblity, regulation and guidelines in context of research developments Carolin Odebrecht (HU Berlin) Birds of a Feather (BoF) discussion session on AI governance targeting all levels of developers and engineers in academic research environments, addressing individual accountability, responsibility within teams and institutions, organizational governance frameworks, and necessary conditions for responsible AI development in scientific contexts. This informal forum aims to foster exchange also on ethical considerations and practical implementation challenges specific to software development and AI responsiblity in university settings. We will discuss existing governance approaches across organizational levels and actionable recommendations for responsible AI practices.\n(3.3) 20 years of Open Source – lessons learned (tbc.) Max Moorkamp (TU Berlin) Publishing research software as open source facilitates reproducibility of results, enhances visibility and can be a rewarding experience. However, it is also a daunting endeavor to make software often written for very specific use cases open to the public. For example, as scientists we focus on correctness of results and computational efficiency, but tend to neglect usability, the ease of building software on different platforms and documentation. I will reflect on my experience with making software available for the last 20 years. What has worked? What have been significant obstacles to better use of software? How has publishing my software as open source influenced my career and my research? What might the next 20 years look like? Abstract is under discussion and will be published soon.\nDownload the Research Software Day Poster as PDF\n","date":"3 June 2026","externalUrl":null,"permalink":"/en/RSdays/2026/Berlin/","section":"Research Software Days","summary":"","title":"First Research Software Day Berlin \u0026 Brandenburg","type":"rsdays"},{"content":"","date":"3 June 2026","externalUrl":null,"permalink":"/en/RSdays/","section":"Research Software Days","summary":"","title":"Research Software Days","type":"rsdays"},{"content":" About # 2026 is the first instance of the Research Software Week. This is a prototype event and is shaped by your contributions! The event format is inspired by the international Love Data Week and Open Access Week.\nThe Research Software Week is an event for everybody interested in research software (engineering). In connection with the first Research Software Day Berlin \u0026amp; Brandenburg on 3 June 2026, this week is intended to encourage broader learning, exchange and networking around research software. The idea is to gather events around research software in one place and promote them to a larger audience. Let’s see where we can go together!\nRegister your software event # Please submit your event to this Google Spreadsheet.\nWe encourage you to recycle existing talks and workshop concepts.\nProgramm # generated from your submissions\nSoftware Carpentries # Monday June 1 9:30\u0026ndash;14:00 The Unix Shell Tuesday June 2 9:30\u0026ndash;13:30 Plotting and Programming In Python Thursday June 4 9:30\u0026ndash;13:30 Plotting and Programming In Python Friday June 5 9:30\u0026ndash;13:30 Version Control with Git Registration\nRead More\nSeminarraum 124, Virchowweg 24, CCM. Get directions with OpenStreetMap or Google Maps. What3Words location: ///sensible.bombard.sisters\nFormation : Les logiciels de la recherche et les licences : trois visions sur un objet avec un atelier sur les Plans de gestion de logiciels # Monday June 1 10:00\u0026ndash;12:00 Registration\nRead More in French\nLaboratoire d\u0026rsquo;informatique Gaspard-Monge, Batîment Copernic, salle 4B125, 4ième étage\n(Mit) Software patentieren # Wednesday June 3 13:00\u0026ndash;14:15 Registration limited to BUA member organizations (mention day and title)\nLocation will be online and details will be sent out before the event\nNach einer kurzen Einführung zu Prinzipien und Bedeutung von Patenten wird die Patentierbarkeit von Software-Erfindungen in den Blick genommen. Dabei werden die geltenden Voraussetzungen, mögliche Schutzformen und typische Fallstricke erläutert. Die dargestellten Konzepte sind breit anwendbar auf Erfindungen zu Apps, Computerprogrammen, Algorithmen sowie Steuerungssystemen. Dies gilt insbesondere für Erfindungen, die zumindest teilweise über Software gesteuert oder realisiert werden. Abschließend wird die Patentierung von KI-Systemen, exemplarisch anhand künstlicher neuronaler Netze, behandelt.\nCode Review and Sustainability in the Digital Humanities Publication Landscape # Thursday 16:00\u0026ndash;17:00 Registration\nAre you developing code for Digital Humanities research? Have you ever thought about publishing your code? Do you wish code would be more reusable, visible, and impactful? Join our upcoming webinar to explore how code review and publication practices could transform how we think about code written for research. We’ll discuss how publication requirements contribute to reusability and sustainability of code written for research and how they increase the visibility of code as a valuable part of research output. We will hear from leading initiatives as they share their experiences: How did they get started with code review? What processes do they use? Who submits code, and what has been the impact? Where are they headed next? We’ll also explore the role of journals like DSH, CHR, and Cultural Analytics, as well as conferences, in promoting code review practices. Should these platforms require code review? Join the conversation and share your thoughts!\nRead more\nOpen Code (Sharing) # Thursday June 4 10\u0026ndash;16 part 1 Friday June 5 10\u0026ndash;14 part 2 Open code - i.e., sharing code on platforms such as GitHub and similar platforms - is a central pillar of Open Science. However, a quick look at one\u0026rsquo;s own or others\u0026rsquo; repositories often shows that simply uploading code is not enough. Missing structure, insufficient documentation, or inconsistent conventions frequently make reuse and reproducibility difficult and thus hinder the core goals of Open Science. We aim to address this. Together, we aim to develop practical code-sharing standards that promote transparency, clarity, and reusability. Step 1: Survey As a first step, we are conducting a short survey to learn more about current practices in sharing and re-using code. Duration: 5?10 minutes Target group: Anyone who has ever shared or re-used code (research area: Psychology/Neuroscience/Data Science) We would be very happy if you could participate! Here is the survey: https://www.soscisurvey.de/stand-repos-user-cent/ Step 2: Workshop (4 - 5 June 2026) Based on the survey results, we will host a 1.5-day workshop as part of the Research Software Week on 4 - 5 June in Berlin, where we will jointly develop concrete code-sharing standards.\nRegistration\nBeyond Vibe Coding: Responsible AI-Assisted Data Analysis for Reproducible Research # Friday June 5 13\u0026ndash;16 Generative AI is not only significantly affecting the world of software development, but also rapidly changing the way research is conducted. This online workshop offers a structured opportunity to explore both the practical use of AI-based coding tools for data analysis and the broader questions they raise for scientific integrity and responsibility. During the workshop, we will combine structured hands-on exercises with group discussions to:\nget to know the features and limitations of the various AI-based coding assistants explore how generative AI can help writing reusable, well documented and version controlled analysis code discuss when AI assistance supports research and when it conflicts with good scientific practice develop your own criteria for when and how to use AI-based coding tools in your research By the end of the workshop, you will be equipped to make informed and conscious decisions about how to choose and use AI-based coding assistants in your own research. Prerequisites:\nYou should have some (at least fundamental) experience in scientific coding (e.g. in R or Python). Registration\nAcknowledgements # The Research Software Week is initiated by the Berlin University Alliance (BUA) Center for Open and Responsible Research (CORe).\nThis event is co-organized by the Cluster of Excellence Matters of Activity.\nThis Research Software Week is also generously supported by the communication platforms of de-RSE e.V. - Society for Research Software in Germany.\nContact # Please send feedback, questions, etc. to Claudia Göbel and/or Alexander Struck.\nFuture Work # The Research Software Week could be coordinated with international RSE initiatives in the years to come. A BoF meeting for International Research Software Conference (IRSC26) has been proposed.\n","date":"1 June 2026","externalUrl":null,"permalink":"/en/RSweeks/2026/","section":"Research Software Weeks","summary":"","title":"First Research Software Week: June 1st--5th 2026","type":"rsweeks"},{"content":"","date":"1 June 2026","externalUrl":null,"permalink":"/en/RSweeks/","section":"Research Software Weeks","summary":"","title":"Research Software Weeks","type":"rsweeks"},{"content":"","date":"24 March 2026","externalUrl":null,"permalink":"/authors/benedikt.wirth/","section":"Authors","summary":"","title":"Benedikt.wirth","type":"authors"},{"content":"","date":"24 March 2026","externalUrl":null,"permalink":"/authors/matthias.katerbow/","section":"Authors","summary":"","title":"Matthias.katerbow","type":"authors"},{"content":" Origin # This document was converted from the original office document for convenience. It should contain the same information, but to be sure always refer to the original.\nMeeting # Date:\t3rd of March 2026, 9:00 a.m. to 12:30 p.m. Place: University of Stuttgart, Vaihingen Campus, V47.05 Participants # Representatives of the funded projects Representatives of the invited guest projects Members of the DFG Committee on Scientific Library Services and Information Systems Members of DFG’s Research Software Infrastructures Committee Representatives of the DFG Head Office Agenda # Introduction by the DFG Head Office Introductions of the funded projects and the invited guest projects/organisations Open thematic discussions Summary and integration Minutes # Introduction by the DFG head office\nMaterials: Presentation by the DFG Head Office Benedikt Wirth welcomes the participants of the network meeting and gives a short presentation on the agenda of the day. He clarifies the motivation of the network meeting and describes the goals from the perspective of the DFG, particularly the main objective of the creation of a national Gesamtstruktur for research software infrastructures. Furthermore, he briefly introduces the participants present from the side of the DFG and its committees. Finally, Benedikt Wirth asks the participants about their expectations of the meeting. The participants agree to include the topic of Openness into the open thematic discussions during the second half of the meeting.\nIntroductions of the funded projects and the invited guest projects/organisations\nMaterials: Presentations by the individual projects The representatives of each of the funded projects introduce their projects to the participants and answer the following questions:\nHow can your project benefit from networking with the other projects? How can your project contribute to the creation of a national integrated structure for research software? What should a national integrated structure for research software be able to achieve? Finally, the invited guests introduce their projects/organisations to the participants. Open Thematic Discussions\nMaterials: None The participants are asked to discuss six questions concerning the creation of a national “Gesamtstruktur” for research software infrastructures and to post their central discussion points on six display boards each dedicated to one question. The individual questions and the central discussion points regarding these questions are listed below:\nWhat are the objectives for a Gesamtstruktur for research software? What should it be able to achive?\nAvoid duplication and maximise efficiency Achieve international integration Establish more collaboration with NFDI (particularly BASE4NFDI) Assist in bridging the gap of RSEs to domain knowledge Assist in bridging the gap of researchers to (R)SE Help scientists to develop better software Pool expertise in providing services Focus on the “R” in RSE (i.e., issues related to research \u0026amp; software) Work towards metadata compatibility Work towards standards harmonisation Work towards infrastructure harmonisation Integrate existing infrastructure Create and maintain git repositories What are the most critical challenges on the path to a Gesamtstruktur? How could these challenges be addressed?\nLegal challenges: Service exchange Taxes Funding limitations (Bund vs. Länder) Licenses for Code and data Implications of scraping from journals or databases Communication Federation and International integration Incentives for the scientific community to contribute Career perspectives Research software as Visibility of RSI services Acceptance of RSE services (e.g., by funding agencies) Recognition of research software as research output Selection of appropriate economic models (“Gebührenordnung” for RSE) Research software quality (bug-free, correct, documented) Long-term sustainability and dependence Downsides of AI: (Dis-)Trust into the high volume of code produced by AI Time waste vs. time save through LLMs Dealing with code that no one really understands Assessment of quality, innovation, and excellence Which stakeholders should be involved in the creation of a Gesamtstruktur?\nNFDI and meta-section infrastructure Local (or state-wide) RSE support units/infrastructures Industry State governments or initiatives Scientists Researchers who code Non-researchers who code for scientists Scientific councils and societies Research libraries Science educators Which aspects can be negotiated bottom-up? Where are top-down specifications necessary? Who should formulate these specifications?\nTop-down: Enforce integration into Gesamtstruktur (via proposal acceptance and rejection) Provide continuous funding Establish research software policies in organisations Establish nation-wide policies Demand usage of services Guide endorsement processes for standards Bottom-up: Defining of and agreeing on standards (e.g., for interoperability development) Community commitment Service-based funding (services that provide income) Lean, automated workflows (e.g., registration) Both routes: Identification of needs, gaps, and opportunities Set-up and maintenance of collaboration channels Which infrastructures can be established across disciplines? Where are discipline-specific structures necessary?\nBroad spectrum of RSE between discipline-specific and discipline-agnostic software engineering Identify aspects of discipline-specific solutions that can be generalized Understand the common aspects in scientific software across disciplines Generic software management infrastructures (github vs. sovereign offers) Potential conflict between domain-specific solutions and a Gesamtstruktur Advertisment of RSI services in “underserved” domains How can Openness help to create a Gesamtstruktur? (Topic suggested by participants)\nSuggest Open Source by default Establish clear publication policies for research software Round tripping Joint events Publishing the software as such Diamond Open Access Red Teaming “Kerndatensatz Forschung” “Hello World” (see Item 4) Summary and integration\nMaterials: None At the end of the meeting, Benedikt Wirth collects the most important take-away messages from the open thematic discussions. First, the “Hello World” concept is put forward. This concept suggests that each project feeds a minimal example into the infrastructure of another project to check whether the infrastructure works as intended and to see whether the output is useful for other projects. This should – in turn – lead to the projects finding areas for future collaboration and to the different projects growing together.\nAnother idea to foster the collaboration between projects is the concept of red teaming. The rationale of red teaming would be that the team of one project scans the output of another project for critical weaknesses regarding cybersecurity (e.g., before the publication of new stable releases). This concept could be expanded to also include project teams testing the soundness and validity of tools and infrastructures created within other projects.\nBenedikt Wirth asks the projects to either nominate or elect one project to be the spokesperson “Klassensprecher” for all the funded projects. The idea would be that this Klassensprecherprojekt coordinates the communication among projects and the communication between the DFG Head Office and the funded projects. Since the project CORSES is characterised by a universal, generalised approach, the project representatives nominate CORSES as the Klassensprecherprojekt. It is further decided that the CORSES project will set-up an email list and a matrix channel for communication. To this end, the DFG Head Office will provide the CORSES project with the email addresses of all the funded projects (both PIs and employees).\nFinally, it is agreed upon that the next Research Software Infrastructures Network Meeting should take place at deRSE27. Importantly, however, informal interaction between the projects should be fostered in the meantime. The collaboration workshop in Göttingen in September is pointed out as an excellent opportunity for this informal exchange.\n","date":"24 March 2026","externalUrl":null,"permalink":"/DFG-FSI/networking/posts/2026-03-24_1st-Network-Meeting-Minutes/","section":"DFG Forschungssoftwareinfrastrukturen","summary":"","title":"Minutes: Network Meeting „Research Software Infrastructures”","type":"dfg-fsi"},{"content":"Damit Projekte des Förderprogramms „Forschungssoftwareinfrastrukturen“ die Möglichkeit haben, sich miteinander zu vernetzen und so zu einer kohärenten deutschlandweiten Forschungssoftwareinfrastruktur beizutragen, wurden primär zwei Kommunikationskanäle für Kommunikation der Projekte untereinander eingerichtet.\nKommunikationskanäle # Email-Verteiler # Der Email-Verteiler dfg-fsi@forschungssoftware.info ist prinzipiell offen für alle Interessierte. Es wäre zielführend, wenn jedes Projekt mindestens eine Person bestimmt, die diesem Kanal folgt.\nEmailadresse: dfg-fsi@forschungssoftware.info Listenwebseite (u. a. zum Ein- und Austragen) Archiv (nur für Mitglieder einsehbar) Chatraum # Für schnellere Kommunikation als auf einem Emailverteiler möglich gibt es einen öffentlichen Chatraum in Matrix.\nFür wen Matrix neu ist, könnte die Hilfe der Academic Cloud dazu nützlich sein.\nMaterial # Folien des 1. Vernetzungstreffens 2026-03-02 in Stuttgart ","date":"24 March 2026","externalUrl":null,"permalink":"/DFG-FSI/networking/","section":"DFG Forschungssoftwareinfrastrukturen","summary":"","title":"Vernetzung von Projekten der DFG Forschungssoftwareinfrastrukturen","type":"dfg-fsi"},{"content":" Projekte # Die folgende Liste besteht aus Projekten, die für eine deutsche Forschungssoftwareinfrastruktur relevant sein könnten.\nHinweis: Diese Liste beinhaltet nicht nur Projekte, die als Teil des DFG-Programms „Forschungssoftwareinfrastrukturen“ gefördert wurden oder werden (über welches man hier mehr erfahren kann).\n","externalUrl":null,"permalink":"/projects/","section":"","summary":"","title":"","type":"projects"},{"content":"","externalUrl":null,"permalink":"/en/authors/aida.jafarbigloo/","section":"Authors","summary":"","title":"Aida.jafarbigloo","type":"authors"},{"content":" Basic information # CAES³AR proposes to develop a collaborative scientific software support architecture to make the process of software support more efficient.\nDuration # May 2025 to May 2028\nParticipants # Principal Investigators # Dr. rer. nat. Marius Politze 0000-0003-3175-0659, IT Center, RWTH Aachen University Univ.-Prof. Dr. sc. Florian M. Wagner 0000-0001-7407-9741, Geophysical Imaging and Monitoring, RWTH Aachen University Project Team # Dr. rer. nat. Marc S. Boxberg 0000-0002-8538-4650, Geophysical Imaging and Monitoring, RWTH Aachen University Camilla Lüttgens 0009-0002-4080-7485, IT Center, RWTH Aachen University Marcel Nellesen 0000-0002-1830-5780, IT Center, RWTH Aachen University Zhenlu Ren 0009-0000-4963-0415, Geophysical Imaging and Monitoring, RWTH Aachen University Alumni # Dr. rer. nat. Andrea Balza Morales 0000-0001-5997-2072, Geophysical Imaging and Monitoring, RWTH Aachen University DFG Grant number # 561181781\nProject description # CAES³AR (Collaborative and Efficient Scientific Software Support Architecture) is an open, discipline-independent initiative designed to improve the way research software is supported and maintained. The project aims to develop an infrastructure that automates and streamlines software support workflows. It aims to address challenges such as reproducing user issues, collaborative support in solving these and dealing with dependency-related problems, while fostering transparent collaboration between developers and users. By reducing the manual burden of technical support, CAES³AR ultimately aims to allow software-supporting research teams to focus more on scientific innovation and less on troubleshooting.\nResulting services # Issue2Docker\nCAES³AR Bot\n","externalUrl":null,"permalink":"/en/DFG-FSI/projects/caes3ar/","section":"DFG Research Software Infrastructures","summary":"CAES³AR proposes to develop a collaborative scientific software support architecture to make the process of software support more efficient.","title":"CAES³AR","type":"dfg-fsi"},{"content":" CAES³AR # CAES³AR (Collaborative and Efficient Scientific Software Support Architecture) is an open, discipline-independent initiative designed to improve the way research software is supported and maintained. The project aims to develop an infrastructure that automates and streamlines software support workflows. It aims to address challenges such as reproducing user issues, collaborative support in solving these and dealing with dependency-related problems, while fostering transparent collaboration between developers and users. By reducing the manual burden of technical support, CAES3AR ultimately aims to allow software-supporting research teams to focus more on scientific innovation and less on troubleshooting.\n","externalUrl":null,"permalink":"/projects/CAESAR/","section":"","summary":"","title":"CAES³AR","type":"projects"},{"content":" Target audience # Maintainers and users of research software, who work with GitHub issues.\nService description # The CAES³AR Bot facilitates collaborative support for scientific open-source software projects. It is a GitHub App that can be tried out on our testpage. At the moment, this mainly includes running Issue2Docker and launching GitHub Actions to test for reproducibility. The goal is to orchestrate the different CAES³AR features and streamline the support process.\nStatus # in development\nParticipating projects # CAES³AR\n","externalUrl":null,"permalink":"/en/DFG-FSI/services/caesar-bot/","section":"DFG Research Software Infrastructures","summary":"The CAES³AR Bot facilitates collaborative support for scientific open-source software projects.","title":"CAES³AR Bot","type":"dfg-fsi"},{"content":"","externalUrl":null,"permalink":"/en/authors/camilla.luettgens/","section":"Authors","summary":"","title":"Camilla.luettgens","type":"authors"},{"content":"","externalUrl":null,"permalink":"/en/categories/","section":"Categories","summary":"","title":"Categories","type":"categories"},{"content":" Target audience # Researchers, research software engineers, metadata curators, repository maintainers, and metadata aggregators who need to generate standardized, machine-actionable metadata for research software hosted on GitHub, GitLab, or Codeberg.\nService description # CoMET-RS (Code Metadata Extraction Toolkit for Research Software) is a tool that automatically extracts metadata from code repositories and transforms it into FAIR, machine-actionable metadata (JSON-LD), supporting multiple schemas (e.g. ConnOSS, maSMP, CODEMETA) and multiple access channels including a CLI, a Python library, and a web API.\nStatus # Participating projects # ConnOSS\n","externalUrl":null,"permalink":"/en/DFG-FSI/services/comet/","section":"DFG Research Software Infrastructures","summary":"CoMET-RS automates the extraction of metadata from GitHub, GitLab, and Codeberg repositories, generating machine-actionable metadata in JSON-LD to improve FAIRness, discoverability, and reuse of research software.","title":"CoMET-RS","type":"dfg-fsi"},{"content":" Basic information # ConnOSS (Connected Open-Source Software)\nPID: https://w3id.org/connoss URL: https://connoss-project.github.io/ GitHub organisation: https://github.com/ConnOSS-Project Duration # Starting date: 2025-09-01 Ending date 2028-08-31 Participants # ZB MED Information Centre for Life Science - Coordinator Leyla Jael Castro (PI) Akhilan Ashokan Lukas Hassel Pradyumna Heddur Maryam Sefidbari GESIS Leibniz Institute for the Social Sciences Brigitte Mathiak (PI) Lu Gan OFFIS Institute for Information Technology Julia Köhlke Aida Jafarbigloo Carl von Ossietzky Universität Oldenburg Astrid Nieße (PI) Aida Jafarbigloo Siddika Mullick Kusuma Naduvinamani Sonu Punnakkal DFG Grant number # 561044496\nProject description # ConnOSS is a DFG-funded research project that aims to help researchers showcase their software work and makes it easier for others to find and use research software. We believe that good research software should be visible, properly described, and easy to discover.\nConnOSS offers an automated infrastructure that generates consistent, harmonised, and enriched metadata for research software. Unlike manual metadata creation, which is time-consuming, or existing tools with limited coverage, ConnOSS streamlines the process—enabling researchers to enhance the visibility and FAIRness of their software with minimal effort.\nResulting services # ConnOSS metadata schema and profile CoMET-RS metadata extraction back-end SMECS metadata curation front-end ","externalUrl":null,"permalink":"/en/DFG-FSI/projects/connoss/","section":"DFG Research Software Infrastructures","summary":"ConnOSS provides a research software metadata schema and corresponding profile together with extraction and curation tool to make it easier for research to add metadata to their research software","title":"ConnOSS","type":"dfg-fsi"},{"content":" Target audience # Researchers interested in metadata for research software Research software aggregators, registries, and directories Developers creating research software metadata extraction and curation tools Service description # The ConnOSS metadata schema corresponds to a semantic controlled vocabulary for describing research software in a structured, machine-actionable, and interoperable way. It reuses and extends established vocabularies — including schema.org and CodeMeta — to capture the properties that matter most for discovering, reusing, and citing research software across scientific domains and communities.\nPID: https://purls.helmholtz-metadaten.de/connoss/ Namespace: connoss The ConnOSS profile provides information on the obligation levels — mandadory/minimum/must, recommended/should, optional/could — and cardinality — one, many. It follows the approach defined but the Bioschemas community\nURL: https://connoss-project.github.io/vocab/Profiles/ Status # Active development\nParticipating projects # ConnOSS ","externalUrl":null,"permalink":"/en/DFG-FSI/services/connoss_metadata/","section":"DFG Research Software Infrastructures","summary":"The ConnOSS metadata schema extends CodeMeta with properties collected from German RSE related communities while the profile acts as a guideline on how to use the schema","title":"ConnOSS metadata schema and profile","type":"dfg-fsi"},{"content":" Föderale Forschungssoftwarekollaboration # Ein regionenübergreifender Ansatz zur Verbesserung der Unterstützung von Research Software Engineering # ","externalUrl":null,"permalink":"/projects/CORSES/","section":"","summary":"","title":"CORSES","type":"projects"},{"content":" Basic information # CORSES aims to extend existing, regional RSE service offers to a nation-wide audience. It does so by connecting RSE departments and their service offers and provide a cross-institutional RSE workforce pool.\nDuration # October 2026 - September 2029\nParticipants # Principal Investigators:\nJan Linxweiler, Universitätsbibliothek, TU Braunschweig Robert Speck, Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH Dominic Kempf, Scientific Software Center, Universität Heidelberg Zeki Mustafa Dogan, Niedersächsische Staats und Universitätsbibliothek Göttingen, Georg August Universität Göttingen DFG Grant number # 577086185\nProject description # The digital transformation has made research software an indispensable tool in science, spanning from data analysis to simulations and visualizations. Studies in the UK, the US, and France show that over 90% of researchers rely on software and consider it essential for their work. Despite this growing importance, a significant skills gap persists among researchers, as academic curricula often lack sufficient training in programming and software engineering. This highlights the need for specialized support from Research Software Engineers (RSEs), as represented in Germany by the de-RSE community. International RSE support models vary: the UK relies on decentralized RSE teams, while the Netherlands uses a centralized model via the Netherlands eScience Center. In Germany, initial institutional RSE teams exist at institutions such as TU Braunschweig, Forschungszentrum Jülich, the University of Jena, the University of Heidelberg, and the SUB Göttingen. However, these teams are mostly limited to local support, as a structured, nationwide RSE infrastructure accessible to all researchers is missing. Researchers without access must often rely on informal community help. The CORSES project aims to close this gap by building and evaluating a national RSE support infrastructure from decentralized units. The overall vision is to provide all researchers in Germany, regardless of their institution, with structured access to RSE services. In the 36-month Phase 1, the project will focus on operational feasibility. It will establish a comprehensive RSE service portfolio, from basic consultation to collaborative research software development. Simultaneously, a flexible, cross-institutional RSE pool will be built, pooling the expertise of the partners to cover a wider range of issues and create synergies. A central web portal will be developed as the main interface for service requests, feedback, and documentation. The project will also conduct a feasibility analysis and develop a business model to determine the requirements for a sustainable continuation in a possible second phase. CORSES is intended as initial funding to lay the foundation for a permanently viable RSE infrastructure. It explicitly considers legal and technical aspects such as governance, data protection, and IT security. All project results and software developments will be made available under open licenses. CORSES will actively collaborate with existing national initiatives like de-RSE e.V., the NFDI, and international partners to avoid duplication of work and leverage synergies.\nResulting services # Coming soon.\n","externalUrl":null,"permalink":"/en/DFG-FSI/projects/corses/","section":"DFG Research Software Infrastructures","summary":"CORSES aims to extend existing, regional RSE service offers to a nation-wide audience. It does so by connecting RSE departments and their service offers and provide a cross-institutional RSE workforce pool.","title":"CORSES — Collaborative RSE Services — A Cross Regional Approach to Enhancing Re search Software Engineering Support","type":"dfg-fsi"},{"content":"","externalUrl":null,"permalink":"/funders/DFG/","section":"Funders","summary":"","title":"DFG","type":"funders"},{"content":"This subpage is maintained by projects of the funding programme Die Unterseite wird von den Projekten des Förderprogramms „Research Software Infrastructures“.\nServices # Goal of the programme is to offer sevices which introduce themselves here.\nProjects # Information on the granted projects can be found here.\nNetworking # Additionally, members and interested parties can find further information on networking between the projects here.\n","externalUrl":null,"permalink":"/en/DFG-FSI/","section":"DFG Research Software Infrastructures","summary":"","title":"DFG Research Software Infrastructures","type":"dfg-fsi"},{"content":"","externalUrl":null,"permalink":"/en/authors/dominic.kempf/","section":"Authors","summary":"","title":"Dominic.kempf","type":"authors"},{"content":" Basic information # Duration # 2025–2028\nParticipants # Dr. Moritz Schubotz (PI), Dr. Andreas Kühnemund (Co-PI), Maxence Azzouz-Thuderoz — FIZ Karlsruhe – Leibniz Institute for Information Infrastructure\nDFG Grant number # 561181416\nProject description # Since 2013, the information service swMATH has been collecting comprehensive metadata on mathematical software, as well as references to this software found in specialized mathematical literature. The service was initiated by FIZ Karlsruhe – Leibniz Institute for Information Infrastructure in collaboration with the Mathematisches Forschungsinstitut Oberwolfach (MFO) to enhance the visibility and utility of research software. Since 2022, swMATH has been a central, long-term component of our service portfolio and is fully integrated into zbMATH Open. As of November 2024, swMATH comprises 47,057 software packages referenced in 296,479 distinct documents, making it the world\u0026rsquo;s largest collection of mathematical research software. Within the framework of the FairCore4Eosc project, source code referenced in swMATH was submitted to Software Heritage, thereby ensuring the long-term archiving of the source text and fostering an ecosystem around the software\u0026rsquo;s source code. Building on FairCore4Eosc, this project aims to make the added value of the Software Heritage source code ecosystem available to swMATH users. For instance, we plan to equip swMATH with a source code recommendation system tailored to research software, helping users identify the most suitable software or code snippets. Furthermore, we intend to support the swMATH editorial team in metadata maintenance through AI-generated suggestions extracted directly from the software\u0026rsquo;s source code. The project comprises three components: First, based on our prior analysis of the software ecosystem landscape, we are developing specific, user-centric metrics to measure our service\u0026rsquo;s performance and defining success criteria for the planned recommendation system, thereby promoting the discoverability of mathematical source code. Second, we are enriching swMATH data with information from Software Heritage and other software registries. Furthermore, we are adapting general (AI) services for software source code to the swMATH catalog, making it easier for mathematicians to use them. Thirdly, we are developing an initial version of a recommendation system and evaluating its effectiveness. The proposed recommendation system will enhance swMATH by providing personalized recommendations based on metadata and source code analysis, including options for open-source alternatives and various implementations. The overarching goal is to pool resources within the research software ecosystem and combine domain-specific services like swMATH with cross-disciplinary initiatives such as Software Heritage and its associated ecosystem. We anticipate that the mathematical community will derive significant benefit from this new service.\n","externalUrl":null,"permalink":"/en/DFG-FSI/projects/swmath-source-code/","section":"DFG Research Software Infrastructures","summary":"Enriching swMATH with Software Heritage data and developing a source code recommendation system for mathematical research software.","title":"Enhancing the Discoverability of Mathematical Source Code","type":"dfg-fsi"},{"content":" Foundations for Interdisciplinary Discovery of (Research) Software # With find.software (Foundations for Interdisciplinary Discovery of (Research) Software), we aim to develop a single point of entry for searching for research software. Imagine you are looking for scientific software, regardless of your scientific field, the programming language or operating system you use, your technical knowledge, or whether you are a developer or a simple user. To this end, we are working together with Wikidata and the scientific community to build a solution for the community and with the community, an open solution that knows no national boundaries.\n","externalUrl":null,"permalink":"/projects/find.software/","section":"","summary":"","title":"find.software","type":"projects"},{"content":" Basic information # With find.software (Foundations for Interdisciplinary Discovery of (Research) Software), we aim to develop a single point of entry for searching for research software.\nDuration # 01/2026 - 12/2028\nParticipants # FIZ # Daniel Mietchen 0000-0001-9488-1870\nMoritz Schubotz 0000-0001-7141-4997\nAnkit Satpute 0000-0003-3219-026X\nTIB # Oliver Karras 0000-0001-5336-6899\nElsa Rahgooy 0000-0001-5336-6899\nUFZ # Jan Bumberger 0000-0003-3780-8663\nRonny Gey 0000-0003-1028-1670\nDFG Grant number # Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project number: 567156310.\nProject description # With find.software (Foundations for Interdisciplinary Discovery of (Research) Software), we aim to develop a single point of entry for searching for research software. Imagine you are looking for scientific software, regardless of your scientific field, the programming language or operating system you use, your technical knowledge, or whether you are a developer or a simple user. To this end, we are working together with Wikidata and the scientific community to build a solution for the community and with the community.\nResulting services # TBD\n","externalUrl":null,"permalink":"/en/DFG-FSI/projects/find.software/","section":"DFG Research Software Infrastructures","summary":"We develop a discovery infrastructure for searching research software.","title":"find.software - Foundations for Interdisciplinary Discovery of (Research) Software","type":"dfg-fsi"},{"content":"Im DFG-Förderprogramm „Forschungssoftwareinfrastrukturen“ können Anträge zum Aufbau, der Etablierung oder der Organisation von Infrastrukturen für Forschungssoftware eingereicht werden.\n","externalUrl":null,"permalink":"/fundingprogrammes/DFG-FSI/","section":"Fundingprogrammes","summary":"","title":"FSI","type":"fundingprogrammes"},{"content":"","externalUrl":null,"permalink":"/en/series/FSI-projects/","section":"Series","summary":"","title":"FSI Projects","type":"series"},{"content":"","externalUrl":null,"permalink":"/en/series/FSI-services/","section":"Series","summary":"","title":"FSI Services","type":"series"},{"content":" Funded projects # ","externalUrl":null,"permalink":"/en/DFG-FSI/projects/","section":"DFG Research Software Infrastructures","summary":"","title":"Funded projects","type":"dfg-fsi"},{"content":"","externalUrl":null,"permalink":"/en/funders/","section":"Funders","summary":"","title":"Funders","type":"funders"},{"content":"","externalUrl":null,"permalink":"/en/fundingprogrammes/","section":"Fundingprogrammes","summary":"","title":"Fundingprogrammes","type":"fundingprogrammes"},{"content":" Next-Level RSE in Germany # FutuRSI [ˈfjuːt͡ʃəɹaɪz] is a joint initiative supported by six partner institutions to conceptualise a German research software institution.\n","externalUrl":null,"permalink":"/projects/FutuRSI/","section":"","summary":"","title":"FutuRSI","type":"projects"},{"content":" Target audience # Maintainers and users of research software, who work with GitHub issues.\nService description # Issue2Docker allows building reproducible environments from GitHub issues and discussions as part of the CAES³AR workflow. It is a Python command-line tool that can be tried out on our testpage. The tool transforms the issue/discussion markdown into a Jupyter Notebook, extracts attachments such as data files, creates environment configuration files, and stores the issue artifact in GitHub. The outputs are links to build the environments directly with mybinder.org or Jupyter4NFDI, or a command to build the environment with Repo2Docker.\nStatus # in active development with a first test-version released\nParticipating projects # CAES³AR\n","externalUrl":null,"permalink":"/en/DFG-FSI/services/issue2docker/","section":"DFG Research Software Infrastructures","summary":"Issue2Docker allows building reproducible environments from GitHub issues and discussions.","title":"Issue2Docker","type":"dfg-fsi"},{"content":"","externalUrl":null,"permalink":"/en/authors/jael.castro/","section":"Authors","summary":"","title":"Jael.castro","type":"authors"},{"content":"","externalUrl":null,"permalink":"/funders/KTS/","section":"Funders","summary":"","title":"KTS","type":"funders"},{"content":"","externalUrl":null,"permalink":"/en/authors/lukas.hassel/","section":"Authors","summary":"","title":"Lukas.hassel","type":"authors"},{"content":"","externalUrl":null,"permalink":"/en/authors/maxence.azzouz-thuderoz/","section":"Authors","summary":"","title":"Maxence.azzouz-Thuderoz","type":"authors"},{"content":"","externalUrl":null,"permalink":"/en/authors/ronny.gey/","section":"Authors","summary":"","title":"Ronny.gey","type":"authors"},{"content":" Foundational tools for single-cell omics data analysis # ","externalUrl":null,"permalink":"/projects/scverse/","section":"","summary":"","title":"scverse","type":"projects"},{"content":"","externalUrl":null,"permalink":"/en/series/","section":"Series","summary":"","title":"Series","type":"series"},{"content":" Services # ","externalUrl":null,"permalink":"/en/DFG-FSI/services/","section":"DFG Research Software Infrastructures","summary":"","title":"Services","type":"dfg-fsi"},{"content":" Target audience # Researchers Research Software Engineers Metadata curators Service description # SMECS facilitates the creation and curation of research software metadata by extracting metadata from GitHub and GitLab repositories or importing existing metadata. It provides a user-friendly graphical interface for reviewing, editing, and completing the metadata without unnecessarily re-entering information already available elsewhere. SMECS supports extraction, visualization and curation based on CodeMeta, ERSmeta, and ConnOSS metadata schema. The curated metadata are exported as CodeMeta-compliant and ConnOSS-aligned JSON, supporting integration with other tools and the discoverability and reuse of research software.\nStatus # Active\nParticipating projects # NFDI4Energy ConnOSS ","externalUrl":null,"permalink":"/en/DFG-FSI/services/smecs/","section":"DFG Research Software Infrastructures","summary":"Software Metadata Extraction and Curation Software (SMECS). A web application for extracting, importing, curating, and exporting research software metadata.","title":"Software Metadata Extraction and Curation Software (SMECS)","type":"dfg-fsi"},{"content":"","externalUrl":null,"permalink":"/en/tags/","section":"Tags","summary":"","title":"Tags","type":"tags"},{"content":" A pilot validation infrastructure for analysis software # ","externalUrl":null,"permalink":"/projects/VINAS/","section":"","summary":"","title":"VINAS","type":"projects"},{"content":" Verbesserung der Auffindbarkeit von mathematischem Quellcode # zbMATH Open (formerly known as Zentralblatt MATH) is the world\u0026rsquo;s most comprehensive and longest-running abstracting and reviewing service in pure and applied mathematics.\n","externalUrl":null,"permalink":"/projects/zbMATH-F/","section":"","summary":"","title":"zbMATH-F","type":"projects"},{"content":"","externalUrl":null,"permalink":"/en/authors/zhenlu.ren/","section":"Authors","summary":"","title":"Zhenlu.ren","type":"authors"}]