GATE Research Meeting #1

This is the report about the first GATE Research Meeting, which took place on April 4th, 2025, in a hybrid format, welcoming in-person and online participants at Christian-Albrechts-Universität Kiel, Germany. This open-call meeting marked a foundational step in aligning the research direction of the Open Science Learning GATE initiative and served as a collaborative exchange of ideas across disciplines. Organised by the Zentrum für Konstruktive Erziehungswissenschaft (ZKE) and GATE partners, the meeting aimed to explore how data collected by GATE could contribute to an actionable, community-driven GATE Report, informing about emerging and changing Open Science (OS) guiding thoughts and practices. It brought together GATE’s core team and a panel of external experts, each contributing insights into how to model, analyse, and translate the qualitative data gathered from Open Science supporters. The Programme was organised as follows: Part 1: What is the GATE’s internal research process? Welcome from the GATE supporters, Katharina Miller (MIK) The GATE service: Prompting and GATE data, Marie Alavi (CAU) & Anika Müller-Karabil (MIK) About the GATE - Research Challenges and Gaps, Prof. Dr. Julia Priess-Buchheit (ZKE) Part 2: Answers from external researchers The GATE Report and Knowledge Graphs, Dr. Daniel Mietchen: Using the GATE data and building a design pattern for organising the guiding thoughts of Open Science, including their semantic relationships. How could the GATE Report become an ontology?, Tim Errington, PhD: Reiterating prompting and modelling opens a door towards the representation of Open Science fields, good practices, and relations between these practices. Modelling the GATE Data for the Target Group from the European Research Area, Prof. Dr. Thalheim: Starting with the target group's needs, conceptual modelling is a way to convey information. The meeting highlighted that the GATE’s potential lies in its qualitative richness, community participation, and capacity for adaptable infrastructure. With constructive input from all speakers, several next steps were outlined: Refining data modelling through qualitative analysis methods and possibly AI-supported tools. Building formal vocabularies and graph models to structure GATE's open-ended responses into machine-readable formats. Developing stakeholder-specific outputs—from granular reports to web-based dashboards. Preparing the 2025 GATE Report, targeting release in autumn, using insights from the meeting to shape content and format. Fostering iterative collaboration, including needs assessment with community stakeholders and co-designing future meetings for more interactive, discussion-based formats.