CDO Matters Ep. 73 | Embracing Library Science in Data & Analytics
Apr 4, 2025
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Jessica Talisman, Senior Information Architect at Adobe, discusses the essential intersection of library science and data management. She emphasizes how knowledge management principles can enhance analytics in today’s organizations. The conversation dives into the integration of librarianship concepts within data roles, the significance of findability and discoverability, and the evolution of entity resolution with machine learning. Talisman advocates for collaboration between librarians and data professionals to foster innovation in data practices.
Embracing library science principles in data management enhances knowledge organization, making data more accessible and retrievable for organizations.
The importance of holistic governance measures in data management is crucial for reconciling internal and external data sources effectively.
Deep dives
The Modern Role of Professionals as Information Stewards
In today’s data-driven landscape, professionals are increasingly required to adopt roles similar to librarians, focusing on information management and knowledge organization. The podcast emphasizes that this involves structuring and organizing data to make it accessible and retrievable for both humans and machines, which is crucial in a world where large volumes of unstructured data exist. Jessica Talisman points out that the principles of librarianship—organizing, structuring, and ensuring findability—are applicable across various fields, especially in data and analytics. By embracing these principles, data leaders can effectively manage and leverage their organizations’ information assets.
Understanding the Framework of Ontology for Data Management
The discussion around ontology highlights its significance in data management, particularly in the formation of knowledge graphs. The ontology pipeline starts with controlled vocabularies, progressing to metadata standards, and then to thesauri and taxonomies, eventually culminating in complex ontologies that accurately reflect the relationships between entities. Each stage in this process is foundational and interdependent, emphasizing the need for structured definitions and relationships to prevent logical discrepancies within the resulting knowledge structures. This approach not only benefits internal data management but also facilitates better engagement with external models, particularly in AI applications.
Challenges in Using AI for Data Structuring
The reliance on large language models (LLMs) for structuring data presents significant challenges, primarily due to their inability to fully comprehend context and the unique requirements of specific organizations. Jessica cautions against using LLMs as the primary solution for tasks like taxonomy formation, suggesting that simpler, more defined tools should be employed first to analyze and categorize data accurately. This sequential approach ensures that the defined structures are meaningful and inform the AI correctly, avoiding oversimplification and ambiguity. By integrating human oversight and expertise in the initial stages, organizations can better ensure that their data models are robust and reliable.
The Need for Holistic Data Governance
The conversation underscores the necessity of holistic governance measures that encompass all data types and structures, as organizations increasingly seek to reconcile internal data with external sources. Emphasizing that effective governance should extend beyond traditional data systems, the podcast advocates for a comprehensive approach to data management, enabling organizations to harness the full potential of available information. With advancements in AI, including LLMs, it is imperative that professionals adopt practices from library science to enhance data structure and findability. As discussions around holistic data governance gain momentum, it becomes vital for data leaders to collaborate across disciplines to ensure sustainable and effective data ecosystems.
“We are all librarians” is a quote from this week’s guest on the CDO Matters Podcast, Jessica Talisman, the Senior Information Architect at Adobe. In this episode, Malcolm and Jessica go deep on the topic of why Knowledge Management – including many of the concepts practiced for centuries by librarians – is increasingly becoming a ‘must have’ skill in modern data organizations.