[{"content":" Herzlich willkommen auf forschungssoftware.info # Aktuell befindet sich diese Seite noch im Aufbau.\n","date":"3 Juni 2026","externalUrl":null,"permalink":"/","section":"","summary":"","title":"","type":"page"},{"content":"","date":"3 Juni 2026","externalUrl":null,"permalink":"/authors/alexander.struck/","section":"Authors","summary":"","title":"Alexander.struck","type":"authors"},{"content":"","date":"3 Juni 2026","externalUrl":null,"permalink":"/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 Juni 2026","externalUrl":null,"permalink":"/RSdays/2026/Berlin/","section":"Research Software Days","summary":"","title":"First Research Software Day Berlin \u0026 Brandenburg","type":"rsdays"},{"content":"","date":"3 Juni 2026","externalUrl":null,"permalink":"/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 Juni 2026","externalUrl":null,"permalink":"/RSweeks/2026/","section":"Research Software Weeks","summary":"","title":"First Research Software Week: June 1st--5th 2026","type":"rsweeks"},{"content":"","date":"1 Juni 2026","externalUrl":null,"permalink":"/RSweeks/","section":"Research Software Weeks","summary":"","title":"Research Software Weeks","type":"rsweeks"},{"content":"","date":"24 März 2026","externalUrl":null,"permalink":"/authors/benedikt.wirth/","section":"Authors","summary":"","title":"Benedikt.wirth","type":"authors"},{"content":"Die Unterseite wird von den Projekten des Förderprogramms „Forschungssoftwareinfrastrukturen“ gepflegt.\nServices # Ziel des Förderprogramms ist es Services bereitzustellen. Diese Services stellen sich hier vor.\nProjekte # Information zu den bewilligten Projekten sind hier zu finden.\nVernetzung # Zusätzlich finden Mitglieder und Interessierte hier weitere Information zur Vernetzung der Projekte untereinander.\n","date":"24 März 2026","externalUrl":null,"permalink":"/DFG-FSI/","section":"DFG Forschungssoftwareinfrastrukturen","summary":"","title":"DFG Forschungssoftwareinfrastrukturen","type":"dfg-fsi"},{"content":"","date":"24 März 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 März 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 März 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":"/authors/aida.jafarbigloo/","section":"Authors","summary":"","title":"Aida.jafarbigloo","type":"authors"},{"content":" Grundlegende Informationen # CAES³AR schlägt vor, eine kollaborative wissenschaftliche Forschungssoftwareinfrastruktur zu entwickeln, um den Prozess der Softwareunterstützung effizienter zu gestalten.\nLaufzeit # Mai 2025 bis Mai 2028\nBeteiligte # Antragsteller # 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 Projektteam # 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-Geschäftszeichen # 561181781\nProjektbeschreibung # CAES³AR (Collaborative and Efficient Scientific Software Support Architecture) (Collaborative and Efficient Scientific Software Support Architecture, Kollaborative und effiziente Architektur für den Support von Forschungssoftware) ist eine offene, disziplin-unabhängige Initiative mit dem Ziel zu verbessern, wie Forschungssoftware entwickelt und unterstützt wird. Dafür wird eine Infrastruktur entwickelt, die den Support-Workflow automatisiert und optimiert. Die Infrastruktur adressiert Herausforderungen wie das Reproduzieren der Probleme von Nutzenden, kollaboratives Lösen von diesen, und der Umgang mit Abhängigkeiten. Dabei wird eine transparente Zusammenarbeit von Entwickelnden und Nutzenden begünstigt. Durch eine Reduzierung des Support Aufwands kann CAES³AR softwareunterstützenden Forschenden mehr Zeit für ihre eigentliche Forschung geben.\nEntstehende Services # Issue2Docker\nCAES³AR Bot\n","externalUrl":null,"permalink":"/DFG-FSI/projects/caes3ar/","section":"DFG Forschungssoftwareinfrastrukturen","summary":"CAES³AR schlägt vor, eine kollaborative wissenschaftliche Forschungssoftwareinfrastruktur zu entwickeln, um den Prozess der Softwareunterstützung effizienter zu gestalten.","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":" Zielgruppe # Entwickelnde und Nutzende von Forschungssoftware, die mit GitHub Issues arbeiten.\nServicebeschreibung # Der CAES³AR Bot ermöglicht kollaborativen Support für wissenschaftliche Open-Source Softwareprojekte. Es ist eine GitHub App, die auf unserer Testseite ausprobiert werden kann. Aktuell beinhaltet die Funktionalität hauptsächlich das Starten von Issue2Docker und GitHub Actions zum Testen der Reproduzierbarkeit. Das Ziel ist es, die unterschiedlichen CAES³AR Features zu orchestrieren und den Supportprozess zu optimieren.\nStatus # in Entwicklung\nBeteiligte Projekte # CAES³AR\n","externalUrl":null,"permalink":"/DFG-FSI/services/caesar-bot/","section":"DFG Forschungssoftwareinfrastrukturen","summary":"Der CAES³AR Bot ermöglicht kollaborativen Support für wissenschaftliche Open-Source Softwareprojekte.","title":"CAES³AR Bot","type":"dfg-fsi"},{"content":"","externalUrl":null,"permalink":"/authors/camilla.luettgens/","section":"Authors","summary":"","title":"Camilla.luettgens","type":"authors"},{"content":"","externalUrl":null,"permalink":"/categories/","section":"Categories","summary":"","title":"Categories","type":"categories"},{"content":" Zielgruppe # Forschende, Entwickler:innen von Forschungssoftware, Metadaten-Kurator:innen, Repository-Betreiber:innen und Metadaten-Aggregatoren, die standardisierte, maschinenlesbare Metadaten für Forschungssoftware auf GitHub, GitLab oder Codeberg erzeugen möchten.\nBeschreibung des Dienstes # CoMET-RS (Code Metadata Extraction Toolkit for Research Software) ist ein tool, das automatisch Metadaten aus Code-Repositories extrahiert und in FAIRe, maschinenlesbare Metadaten (JSON-LD) umwandelt. Es unterstützt mehrere Schemata (z. B. ConnOSS, maSMP, CODEMETA), sowie Schnittstellen via Kommandozeile, eine Python-Bibliothek und eine Web-API.\nStatus # Beteiligte Projekte # ConnOSS\n","externalUrl":null,"permalink":"/DFG-FSI/services/comet/","section":"DFG Forschungssoftwareinfrastrukturen","summary":"CoMET-RS automatisiert die Extraktion von Metadaten aus GitHub-, GitLab- und Codeberg-Repositories und erzeugt maschinenlesbare Metadaten im JSON-LD-Format, um die FAIRness, Auffindbarkeit und Wiederverwendung von Forschungssoftware zu verbessern.","title":"CoMET-RS","type":"dfg-fsi"},{"content":" Grundlegende Informationen # ConnOSS (Connected Open-Source Software)\nPID: https://w3id.org/connoss URL: https://connoss-project.github.io/ GitHub Organisation: https://github.com/ConnOSS-Project Laufzeit # Startdatum: 2025-09-01 Enddatum: 2028-08-31 Teilnehmende # ZB MED Informationszentrum Lebenswissenschaften - Koordination Leyla Jael Castro (PI) Akhilan Ashokan Lukas Hassel Pradyumna Heddur Maryam Sefidbari GESIS Leibniz-Institut für Sozialwissenschaften Brigitte Mathiak (PI) Lu Gan OFFIS Institut für Informationstechnik Julia Köhlke Aida Jafarbigloo Carl von Ossietzky Universität Oldenburg Astrid Nieße (PI) Aida Jafarbigloo Siddika Mullick Kusuma Naduvinamani Sonu Punnakkal DFG-Fördernummer # 561044496\nProjektbeschreibung # ConnOSS ist ein von der DFG gefördertes Forschungsprojekt, das Forschende dabei unterstützt, ihre Softwarearbeit sichtbar zu machen, und es anderen erleichtert, Forschungssoftware zu finden und zu nutzen. Wir sind davon überzeugt, dass gute Forschungssoftware sichtbar, gut beschrieben und leicht auffindbar sein sollte.\nConnOSS bietet eine automatisierte Infrastruktur, die konsistente, harmonisierte und angereicherte Metadaten für Forschungssoftware erzeugt. Im Gegensatz zur manuellen, zeitaufwändigen Metadatenerstellung, oder bestehenden Werkzeugen mit begrenztem Funktionsumfang, vereinfacht ConnOSS den Prozess – und ermöglicht es Forschenden, die Sichtbarkeit und FAIRness ihrer Software mit minimalem Aufwand zu verbessern.\nResultierende Dienste # ConnOSS-Metadatenschema und -Profil CoMET-RS Metadatenextraktions-Backend SMECS Metadaten-Kurations-Frontend ","externalUrl":null,"permalink":"/DFG-FSI/projects/connoss/","section":"DFG Forschungssoftwareinfrastrukturen","summary":"ConnOSS stellt ein Metadatenschema für Forschungssoftware sowie ein entsprechendes Profil zusammen mit Tools zur Extraktion und Kuratierung bereit, um es Forschenden zu erleichtern, ihre Forschungssoftware mit Metadaten zu versehen.","title":"ConnOSS","type":"dfg-fsi"},{"content":" Zielgruppe # Forschende, die sich für Metadaten zu Forschungssoftware interessieren Aggregatoren, Register und Verzeichnisse für Forschungssoftware Entwickler:innen, die Werkzeuge zur Extraktion und Kuration von Metadaten für Forschungssoftware erstellen Beschreibung des Dienstes # Das ConnOSS-Metadatenschema entspricht einem semantischen, kontrollierten Vokabular zur strukturierten, maschinenlesbaren und interoperablen Beschreibung von Forschungssoftware. Es nutzt und erweitert etablierte Vokabulare – darunter schema.org und CodeMeta –, um die Eigenschaften zu erfassen, die für das Auffinden, Nachnutzen und Zitieren von Forschungssoftware über wissenschaftliche Domänen und Communities hinweg am wichtigsten sind.\nPID: https://purls.helmholtz-metadaten.de/connoss/ Namensraum: connoss Das ConnOSS-Profil enthält Informationen zu den Verbindlichkeitsstufen — mandatory/minimum/must, recommended/should, optional/could — sowie zur Kardinalität — one, many. Es folgt dem Ansatz der Bioschemas-Community.\nURL: https://connoss-project.github.io/vocab/Profiles/ Status # Aktive Entwicklung\nBeteiligte Projekte # ConnOSS ","externalUrl":null,"permalink":"/DFG-FSI/services/connoss_metadata/","section":"DFG Forschungssoftwareinfrastrukturen","summary":"Das ConnOSS-Metadatenschema erweitert CodeMeta um Eigenschaften, die aus den deutschen RSE-Communities zusammengetragen wurden, während das Profil als Leitfaden zur Nutzung des Schemas dient","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":" Grundlegende Informationen # CORSES möchte bestehende regionale RSE-Serviceangebote einem bundesweiten Nutzerkreis zugänglich machen. Dazu vernetzt das Projekt RSE-Gruppen und deren Serviceangebote und baut einen institutionsübergreifenden Pool von Research Software Engineers auf.\nLaufzeit # Oktober 2026 – September 2029\nBeteiligte # Projektleitung:\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-Geschäftszeichen # 577086185\nProjektbeschreibung # Die digitale Transformation hat Forschungssoftware zu einem unverzichtbaren Werkzeug in der Wissenschaft gemacht, das von der Datenanalyse bis zu Simulationen und Visualisierungen reicht. Studien in Großbritannien, den USA und Frankreich belegen, dass über 90 % der Forschenden auf Software angewiesen sind und diese für ihre Arbeit als essenziell erachten. Trotz dieser wachsenden Bedeutung besteht jedoch eine erhebliche Qualifikationslücke, da akademische Curricula oft keine ausreichende Ausbildung in Programmierung und Software-Engineering bieten. Dies unterstreicht die Notwendigkeit spezialisierter Unterstützung durch Research Software Engineers (RSEs), wie sie in Deutschland durch die de-RSE-Gemeinschaft vertreten sind. Internationale Modelle zur RSE-Unterstützung variieren: Das Vereinigte Königreich setzt auf dezentrale RSE-Teams, während die Niederlande ein zentralisiertes Modell über das Netherlands eScience Center nutzen. In Deutschland existieren zwar erste institutionelle RSE-Teams an der TU Braunschweig, dem Forschungszentrum Jülich, der Universität Jena, der Universität Heidelberg und der SUB Göttingen. Diese Teams sind jedoch meist lokal eingeschränkt, und es fehlt eine strukturierte, landesweite RSE-Infrastruktur, die allen Forschenden zugänglich ist. Forschende ohne Zugang sind oft auf informelle Community-Hilfe angewiesen. Das CORSES-Projekt will diese Lücke schließen, indem es eine nationale RSE-Unterstützungsinfrastruktur aus dezentralen Einheiten aufbaut und evaluiert. Die Vision ist es, allen Forschenden in Deutschland, unabhängig von ihrer Institution, einen strukturierten Zugang zu RSE-Diensten zu ermöglichen. In der 36-monatigen Phase 1 konzentriert sich das Projekt auf die operationelle Machbarkeit. Es wird ein umfassendes RSE-Serviceportfolio etabliert, von grundlegender Beratung bis zur gemeinsamen Entwicklung von Forschungssoftware. Gleichzeitig wird ein flexibler, institutionsübergreifender RSE-Pool aufgebaut, der die Expertise der Partner bündelt, um ein breiteres Spektrum an Problemen abzudecken und Synergien zu schaffen. Ein zentrales Webportal wird als Hauptschnittstelle für Serviceanfragen, Feedback und Dokumentation entwickelt. Das Projekt führt zudem eine Machbarkeitsanalyse durch und erarbeitet ein Geschäftsmodell, um die Anforderungen für eine nachhaltige Fortführung in einer möglichen zweiten Phase zu ermitteln. CORSES versteht sich als Anschubfinanzierung für eine dauerhaft tragfähige RSE-Infrastruktur. Es berücksichtigt explizit rechtliche und technische Aspekte wie Governance, Datenschutz und IT-Sicherheit. Alle Projektergebnisse und Softwareentwicklungen werden unter offenen Lizenzen zugänglich gemacht. CORSES arbeitet aktiv mit bestehenden nationalen Initiativen wie de-RSE e.V., der NFDI und internationalen Partnern zusammen, um Doppelarbeit zu vermeiden und Synergien zu nutzen.\nEntstehende Services # Demnächst verfügbar.\n","externalUrl":null,"permalink":"/DFG-FSI/projects/corses/","section":"DFG Forschungssoftwareinfrastrukturen","summary":"CORSES möchte bestehende regionale RSE-Serviceangebote einem bundesweiten Nutzerkreis zugänglich machen. Dazu vernetzt das Projekt RSE-Gruppen und deren Serviceangebote und baut einen institutionsübergreifenden Pool von Research Software Engineers auf.","title":"CORSES - Föderale Forschungssoftwarekollaboration - ein regionenübergreifender Ansatz zur Verbesserung der Unterstützung von Research Software Engineering","type":"dfg-fsi"},{"content":"","externalUrl":null,"permalink":"/funders/DFG/","section":"Funders","summary":"","title":"DFG","type":"funders"},{"content":"","externalUrl":null,"permalink":"/authors/dominic.kempf/","section":"Authors","summary":"","title":"Dominic.kempf","type":"authors"},{"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":" Grundlegende Informationen # Mit „find.software“ (Grundlagen für die interdisziplinäre Suche nach (Forschungs-)Software) wollen wir eine zentrale Anlaufstelle für die Suche nach Forschungssoftware schaffen.\nLaufzeit # 01/2026 - 12/2028\nBeteiligte # 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-Geschäftszeichen # 567156310\nProjektbeschreibung # Mit find.software (Foundations for Interdisciplinary Discovery of (Research) Software) wollen wir eine zentrale Anlaufstelle für die Suche nach Forschungssoftware schaffen. Stellen Sie sich vor, Sie suchen nach wissenschaftlicher Software – unabhängig von Ihrem Fachgebiet, der von Ihnen verwendeten Programmiersprache oder dem Betriebssystem, Ihren technischen Kenntnissen oder davon, ob Sie Entwickler oder einfacher Nutzer sind. Zu diesem Zweck arbeiten wir gemeinsam mit Wikidata und der wissenschaftlichen Gemeinschaft daran, eine Lösung für die Gemeinschaft und mit der Gemeinschaft zu entwickeln.\nÜbersetzt mit DeepL.com (kostenlose Version)\nEntstehende Services # TBD\n","externalUrl":null,"permalink":"/DFG-FSI/projects/find.software/","section":"DFG Forschungssoftwareinfrastrukturen","summary":"Wir entwickeln eine Suchinfrastruktur für die Suche nach Forschungssoftware.","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":"/series/FSI-projects/","section":"Series","summary":"","title":"FSI Projects","type":"series"},{"content":"","externalUrl":null,"permalink":"/series/FSI-services/","section":"Series","summary":"","title":"FSI Services","type":"series"},{"content":"","externalUrl":null,"permalink":"/funders/","section":"Funders","summary":"","title":"Funders","type":"funders"},{"content":"","externalUrl":null,"permalink":"/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":" Geförderte Projekte # ","externalUrl":null,"permalink":"/DFG-FSI/projects/","section":"DFG Forschungssoftwareinfrastrukturen","summary":"","title":"Geförderte Projekte","type":"dfg-fsi"},{"content":" Zielgruppe # Entwickelnde und Nutzende von Forschungssoftware, die mit GitHub Issues arbeiten.\nServicebeschreibung # Issue2Docker ermöglicht es, reproduzierbare Umgebungen aus GitHub Issues und Diskussionen zu erzeugen und ist Teil des CAES³AR Worflows. Es ist ein Python Kommandozeilentool, das auf unserer Testseite ausprobiert werden kann. Das Tool konvertiert das Markdown von Issues/Diskussionen in ein Jupyter Notebook, extrahiert Anhänge wie Datendateien, erzeugt Umgebungskonfigurationsdateien, und speichert das Issue Artefakt in GitHub. Der Output besteht aus Links um die Umbegung direkt mit mybinder.org oder Jupyter4NFDI zu öffnen, oder das Kommando um die Umbegung mit Repo2Docker zu bauen.\nStatus # in Entwicklung mit einer ersten Testversion\nBeteiligte Projekte # CAES³AR\n","externalUrl":null,"permalink":"/DFG-FSI/services/issue2docker/","section":"DFG Forschungssoftwareinfrastrukturen","summary":"Issue2Docker ermöglicht es, reproduzierbare Umgebungen aus GitHub Issues und Diskussionen zu erzeugen.","title":"Issue2Docker","type":"dfg-fsi"},{"content":"","externalUrl":null,"permalink":"/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":"/authors/lukas.hassel/","section":"Authors","summary":"","title":"Lukas.hassel","type":"authors"},{"content":"","externalUrl":null,"permalink":"/authors/maxence.azzouz-thuderoz/","section":"Authors","summary":"","title":"Maxence.azzouz-Thuderoz","type":"authors"},{"content":"","externalUrl":null,"permalink":"/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":"/series/","section":"Series","summary":"","title":"Series","type":"series"},{"content":" Services # ","externalUrl":null,"permalink":"/DFG-FSI/services/","section":"DFG Forschungssoftwareinfrastrukturen","summary":"","title":"Services","type":"dfg-fsi"},{"content":" Zielgruppe # Forschende Entwickler:innen von Forschungssoftware Metadaten-Kurator:innen Beschreibung des Dienstes # SMECS erleichtert die Erstellung und Kuration von Metadaten für Forschungssoftware, indem es Metadaten aus GitHub- und GitLab-Repositories extrahiert oder bestehende Metadaten importiert. Es bietet eine benutzerfreundliche grafische Oberfläche zum Überprüfen, Bearbeiten und Vervollständigen der Metadaten, ohne bereits vorhandene Informationen unnötig erneut eingeben zu müssen. SMECS unterstützt die Extraktion, Visualisierung und Kuration auf Basis der Metadatenschemata CodeMeta, ERSmeta und ConnOSS. Die kuratierten Metadaten werden als CodeMeta-konformes und ConnOSS-ausgerichtetes JSON exportiert, was die Integration mit anderen Werkzeugen sowie die Auffindbarkeit und Nachnutzung von Forschungssoftware unterstützt.\nStatus # Aktiv\nBeteiligte Projekte # NFDI4Energy ConnOSS ","externalUrl":null,"permalink":"/DFG-FSI/services/smecs/","section":"DFG Forschungssoftwareinfrastrukturen","summary":"Software Metadata Extraction and Curation Software (SMECS). Eine Webanwendung zum Extrahieren, Importieren, Kuratieren und Exportieren von Metadaten für Forschungssoftware.","title":"Software Metadata Extraction and Curation Software (SMECS)","type":"dfg-fsi"},{"content":"","externalUrl":null,"permalink":"/tags/","section":"Tags","summary":"","title":"Tags","type":"tags"},{"content":" Grundlegende Informationen # Laufzeit # 2025–2028\nBeteiligte # Dr. Moritz Schubotz (PI), Dr. Andreas Kühnemund (Co-PI), Maxence Azzouz-Thuderoz — FIZ Karlsruhe – Leibniz-Institut für Informationsinfrastruktur\nDFG-Geschäftszeichen # 561181416\nProjektbeschreibung # Der Informationsdienst swMATH sammelt seit 2013 umfassende Metadaten zu mathematischer Software sowie Verweise aus der mathematischen Fachliteratur auf diese Software. Der Dienst wurde von FIZ Karlsruhe – Leibniz-Institut für Informationsinfrastruktur in Zusammenarbeit mit dem Mathematischen Forschungsinstitut Oberwolfach initiiert, um die Sichtbarkeit und den Nutzen von Forschungssoftware zu erhöhen. Seit 2022 ist swMATH langfristiger und zentraler Bestandteil unseres Dienstangebots und vollständig in zbMATH Open integriert. Im November 2024 umfasst swMATH 47.057 Softwarepakete, die in 296.479 verschiedenen Dokumenten referenziert werden. Somit ist der Dienst die weltweit größte Sammlung mathematischer Forschungssoftware. Im Rahmen des FairCore4Eosc-Projekts wurde der in swMATH referenzierte Quellcode an Software Heritage gemeldet, wodurch die langfristige Archivierung des Quelltexts sichergestellt und ein Ökosystem rund um den Quellcode der Software geschaffen wird. Anknüpfend an das FairCore4Eosc zielt dieses Projekt darauf ab, den Mehrwert des Software Heritage-Quellcode-Ökosystems für die Nutzer von swMATH verfügbar zu machen. Wir planen beispielsweise, swMATH mit einem auf Forschungssoftware zugeschnittenen Quellcode-Empfehlungssystem auszustatten, das Nutzenden hilft, die am besten geeignete Software oder Codeschnipsel zu finden. Darüber hinaus sollen Menschen in der swMATH-Redaktion bei der Pflege der Metadaten durch KI-generierte Vorschläge, die aus dem Quellcode der Software extrahiert werden, unterstützt werden. Das Projekt umfasst drei Bestandteile: Erstens entwickeln wir, auf der Grundlage unserer vorherigen Analyse der Situation der Software-Ökosystems, spezifische, nutzerzentrierte Metriken zur Messung der Leistung unseres Dienstes, definieren Erfolgskriterien für das geplante Empfehlungssystem und fördern so die Auffindbarkeit von mathematischem Quellcode. Zweitens bereichern wir die swMATH-Daten mit Daten aus Software Heritage und anderen Software-Registern. Darüber hinaus passen wir allgemeine (KI-)Dienste für Software-Quellcode an den swMATH-Katalog an, sodass diese Dienste leichter von Mathematikern genutzt werden können. Drittens entwickeln wir eine erste Version eines Empfehlungssystems und evaluieren dessen Wirksamkeit. Das vorgeschlagene Empfehlungssystem wird swMATH verbessern, indem es personalisierte Empfehlungen auf der Grundlage von Metadaten und Quellcodeanalysen bietet, einschließlich Optionen für Open-Source-Alternativen und verschiedene Implementierungen. Das übergeordnete Ziel besteht darin, Kräfte im Forschungssoftware-Ökosystem zu bündeln und fachspezifische Dienste wie swMATH mit disziplinübergreifenden Angeboten wie Software Heritage und dem dazugehörigen Ökosystem zu kombinieren. Wir erwarten einen deutlichen Profit des neuen Service für die mathematische Community.\n","externalUrl":null,"permalink":"/DFG-FSI/projects/swmath-source-code/","section":"DFG Forschungssoftwareinfrastrukturen","summary":"Anreicherung von swMATH mit Daten aus Software Heritage und Entwicklung eines Quellcode-Empfehlungssystems für mathematische Forschungssoftware.","title":"Verbesserung der Auffindbarkeit von mathematischem Quellcode","type":"dfg-fsi"},{"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":"/authors/zhenlu.ren/","section":"Authors","summary":"","title":"Zhenlu.ren","type":"authors"}]