Insights and Lessons in Interconnectivity from Building a Map of the Open Source Science Landscape

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Ask the person next to you right now: What open source tools are used in astrophysics? What tools enable open science practices? Which datasets led to the patents behind your smartphone’s GPS? If their answer isn't 'I have no idea,' they're either a domain expert or very comfortable guessing. Maps are critical for exploration and understanding. They guide experts through unknown alleys of their vast knowledge reservoirs while opening worlds of possibilities to new users. Consider how Google Maps revolutionized how we navigate cities – both those we were unfamiliar with and our hometowns. Similarly, in the realm of open source and open science, maps can illuminate pathways, reveal connections, and unlock the wild potential of our movement. We use maps every day, whether they’re built by pulsars throughout the universe, by chemicals creating the human genome to develop breakthroughs in health and life sciences, or even by the social graphs, CRMs, and other tools that help us navigate the complex relationships of our modern world. And yet, here we are, pushing forward open source and open science – the very foundation of our understanding of pulsars, the human genome, and the technology powering digital tools – with no bearing on where we are, the impact of what we're doing, the necessity of what we're doing, or who is contributing where in the ecosystems. Here we are, entering a digitalized world of infinite possibilities without a map… This presentation will highlight the valuable insights and lessons from creating the Map of Open Source Science (MOSS). MOSS is designed as a comprehensive, composable, interactive map of the digital knowledge and research ecosystems. The creation of MOSS involved collecting vast amounts of data on people, projects, patents, packages, dependencies, alternative tools, papers, supporting organizations, fiscal sponsors, funding pathways, funding amounts, and much more. Through this session, attendees will gain valuable insights from the experience of collecting such extensive data for MOSS. They will also walk away with a deep appreciation of the power of such a robust database, and a comprehensive understanding of how mapping can illuminate dynamics, challenges, and opportunities within the open source and open science ecosystems.Together we will see how mapping gobs of data can help: - Identify relevant tools and resources for research. - Showcase the impact and connections of contributors and organizations. - Highlight the influence of open source research tools. - Identify gaps and prevent redundancy in research tools. - Streamline grant submissions and review processes. - Enhance security flaw identification and management. Attendees Will Learn: - The data sources and methodologies used to create MOSS. - How maps can help identify emerging opportunities in open source, from identifying ecosystem gaps to finding new funding sources and collaboration opportunities. - How researchers can leverage insights from a map to enhance their work, find collaborators, and secure funding. - How funders and policymakers can use a map to identify impactful projects and individuals to support. - The technical hurdles, community engagement strategies, and iterative nature of developing a map of this magnitude. - The broader impact of mapping on transparency, collaboration, and driving scientific advancements. Pre-session Knowledge: A basic understanding of open source software and research practices is helpful. Familiarity with research tools and the open source and open science communities is beneficial but not critical. This session offers a unique opportunity to gain deep insights into the open source and open science ecosystems. By sharing the lessons learned from mapping these ecosystems, attendees will learn how to navigate and contribute to these communities more effectively. Whether you are a researcher, developer, funder, or policymaker, this presentation will provide valuable knowledge and practical applications.




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