Taxonomy Strategies’ Post

Excited to share insights from a pivotal publication, "The Role of Metadata and Open Data in the Innovation Cycle of Land Administration." This comprehensive study delves into the transformative potential of open data and structured metadata within the realm of land governance, spotlighting their crucial roles in promoting transparency, inclusivity, and sustainable development worldwide. The publication illuminates how open data, championed by the Open Data Charter, can revolutionize traditional dynamics of land ownership, use, and management. By democratizing access to essential land administration data, it empowers citizens, reduces corruption, and fosters active public engagement in governance processes. However, the journey towards open data is fraught with challenges, including privacy concerns, documentation complexities, and trust issues between government and society. Addressing these barriers is key to unlocking the full potential of open data for sustainable land governance. Moreover, the publication highlights the indispensable role of metadata in organizing and categorizing information, thus facilitating data exchange and enhancing decision-making. By standardizing metadata and embracing controlled vocabularies, we can accelerate innovation and tackle land administration challenges more effectively. Featuring #LandVoc and #AGROVOC as exemplary tools for ensuring consistency in thematic metadata, the publication underscores the importance of a shared vocabulary for enriching data visibility and fostering collaboration across diverse communities. In conclusion, this publication not only showcases open data and metadata as powerful tools for innovation but also emphasizes their role in building trust, supporting research, and encouraging evidence-based policy-making. As we move forward, embracing these principles can lead to a more transparent, participatory, and informed land governance ecosystem, paving the way for sustainable and equitable development. Read the full article here: https://lnkd.in/exV6dypE #OpenData #LandGovernance #SustainableDevelopment #Innovation #Metadata #LandAdministration Land Portal Foundation, FAO, Charl-Thom H. Bayer, Laura Meggiolaro

HOW A GOOD TAXONOMY WORKS

"Empowering research through enhanced data publishing practices – Let's make our data findable, fostering fairness and progress in the realm of knowledge. #Research #DataPublishing #FairScience"

We have published a new research paper: "Data sharing practices: The interplay of data, organizational structures, and network dynamics" by Marcel Fassnacht, Jannis Leimstoll, Carina Benz, Daniel Heinz & Gerhard Satzger, Karlsruhe Institute of Technology (KIT). https://lnkd.in/dwnrZvfT Abstract With the proliferation of data and advanced analytics, organizations are increasingly recognizing the potential value of sharing data across organizational boundaries. However, there is a lack of empirical evidence and systematic frameworks to guide the design of effective data sharing practices. Realizing the full potential of data sharing requires the effective design and implementation of data sharing practices by considering the interplay of data, organizational structures, and network dynamics. This study presents an empirically and theoretically grounded taxonomy of data sharing practices drawing on existing literature and real-world data sharing cases. The subsequent cluster analysis identifies four generic archetypes of data sharing practices, differing in their primary orientation toward compliance, efficiency, revenue, or society. From a theoretical perspective, our work conceptualizes data sharing practices as a foundation for a more systematic and detailed exploration in future research. At the practitioner level, we enable organizations to strategically develop and scale data sharing practices to effectively leverage data as a strategic asset. #InformationSystems #DataSharing #DataEcosystems #Taxonomy #Archetypes #ClusterAnalysis

A truly good #taxonomy DOES THINGS and is needed to DO THINGS. Do you feel like your taxonomies are doing that today? Daniel O'Neil shares three guidelines for creating taxonomies that are truly in service of your #digital #products. three guidelines for creating truly useful taxonomies that are truly in service of your #digital #products. Roman army maps! The Dewey Decimal System! Anise! Check it out! https://lnkd.in/gWc5DNDq

I'm excited to share our latest research "Data Sharing Practices: The interplay of data, organizational structures, and network dynamics" published in Vol. 34 of Electronic Markets - The International Journal on Networked Business. In the paper we explore the transformative potential of data sharing across organizational boundaries. As data continues to proliferate, understanding how to harness it effectively is crucial. Great shout out to my co-authors Jannis Leimstoll, Carina Benz, Daniel Heinz and Gerhard Satzger for a great collaboration to author this paper. In our study, we developed a taxonomy of data sharing practices, grounded in empirical evidence and real-world cases. Through cluster analysis, we identified four distinct archetypes of data sharing: compliance, efficiency, revenue, and societal impact. Each archetype highlights different strategic orientations that organizations can adopt. ✨ Key Takeaways: - Effective data sharing requires thoughtful design, considering the interplay of data, organizational structures, and network dynamics. - Our framework not only contributes to the theoretical discourse but also provides practical insights for organizations aiming to leverage data as a strategic asset. We hope this work inspires future research and helps organizations to strategically develop and scale their data sharing practices. Check out the full paper here: https://lnkd.in/ex9AZz8z

Time for some totally scientific research to test a hypothesis. What does data/information/content/knowledge look like within your organization today? 1 - Completely unstructured within multiple, unconnected relational databases with no unified taxonomy 2 - Some structure in unconnected, various types of databases with no unified taxonomy 3 - Some structure in partially connected databases 4 - Mostly structured in various databases connected based on a single model with at least one unification capability (taxonomy, ontology, knowledge graph) 5 - Completely structured within vector databases connected by a unified taxonomy, ontology, and knowledge graph Please comment with your response with the entire organization in mind (not just your area). Bonus: Add the approximate number of people in your org. No judgment if you're at a 1. (Surely, you are not alone.) DM me if you don't want to admit that publicly.

I am excited to share that the Towards a National Collection commissioned report ‘Data Matters: Report on the Towards a National Collection Discovery Projects focus group on data management, documentation, and archiving practices in digital cultural heritage projects’ , co-authored with my fantastic colleague Ashleigh Hawkins from The National Archives, UK, is now out 🚀 ! ‘Data Matters’ dives into the challenges in areas of data documentation, archiving and publication in digital cultural heritage projects. Building on the five Towards a National Collection Discovery projects and insights shared in a focus group meeting last summer, this report maps key data-related challenges we encountered—from data availability and documentation to the importance of resources for ongoing data management, infrastructure for storage, analysis and sharing, as well as the crucial role of dedicated data specialists. The report concludes with a set of recommendations on data practices for stakeholders, funders, and the broader cultural heritage and digital research community, caring for and working with digital cultural heritage datasets. This work wouldn’t have been possible without the collaboration, support, and expertise shared by so many amazing colleagues across and beyond TaNC - thank you! Data matters, indeed. In light of the recent UK infrastructure investments in digital research for the arts, humanities, and digital cultural heritage science and data's fundamental role in the rapid advancement of AI, we can’t but consider responsible data curation, management, and publishing as the essential backbone of every data-intensive research endeavour. These are not just generic concepts or simple checkboxes in a project proposal or project management board; they are amalgams of reflective, insightful, informed, dynamic, and collaborative decisions and practices. Yet, recent cybersecurity attacks in cultural heritage and research infrastructures—such as those impacting the British Library and the Internet Archive—serve as important reminders that creating and openly sharing digital (and born-digital) cultural heritage and research data is just one part of our mission; we also need to ensure its long-term legacy, archiving and sustainability. Data matters, but it’s people in the end who bear the responsibility for every data-related decision and choice 🌟 .

🚨New blog alert🚨 Check out our latest blog to learn how we manage our research data in compliance with the FAIR principles to deliver high-quality, collaborative research outputs. https://lnkd.in/eNc9gMbN