Linked Data has become a reality for many organizations and projects. It is increasingly baked in to the underlying data fabric of our tools and sites. Linked Data can address both internal and external needs for flexibly managing and sharing information.
But it doesn’t “just work” – there are many things to think about, and Information Architecture is a foundational discipline for helping understand the decisions that need to be made, and the responsibilities of data/content creators and technology teams. Our goal is to create useful, usable applications and structures that take advantage of the opportunities emerging from the data, so we will imagine together new types of uses.
Strategic and tactical conversations must be practical, realistic in their expectations, and focused on successfully meeting user and organizational goals. Information architects are perfectly placed to lead conversations and enable the creation and use of linked data models and resources.
This workshop offers you a working knowledge of linked data and starting points for talking about it with others. It introduces ideas for how our methods are likely to change as we manage more broadly linked, heterogeneous, multi-site data sources. And how it provides a flexible framework for incorporating new types of data – device data, internet of things streams, agent data, personal data – and establishes rich relationships that support relevance and context modeling.
- Understand the core principles and behaviors behind emerging web architectures, models, linked open data, shared ontologies/vocabularies, content/data analysis tools.
- Understand how dynamic capabilities map to essential IA goals for understanding, structure, usability and creating information environments.
- Fit project needs into a broader framework where linked data and supporting technologies offer value.
- Draw on examples that reflect common project situations, as future communication tools with others.
- Identify topic areas for further personal research and learning.