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Pre-conference Workshop: Dynamic IA: Flexible Design for Linked [Open] Data and Emerging Technologies

About the Talk

April 23, 2015 1:00 PM

Minneapolis, MN

Minneapolis, MN

Information Architecture now practices in a dynamic data world. Semantic data formats ("linked data") are now baked into many of the technologies that drive web, mobile, and content applications. Publicly available "open" data and content are increasingly accessed via APIs and SPARQL end-points. Our stakeholders and IT teams expect architectures to integrate with a range of internal and external sources. What does it mean for information architecture to "use the network as our database"? While things are better enabled technically under the covers, we need to consider what constitutes effective architectural design for open, heterogeneous, linked, and dynamic information. What is possible? What is desirable? Is it really a departure from what we do today?

This workshop focuses on the end goal: Envisioning applications and uses for linked data in the future, and what it means for IAs to achieve this. Exploring what we have to know, and how we collaborate with related disciplines to achieve effective outcomes. This example-driven workshop covers the nuts-and-bolts of linked data, but assumes that the technical mechanisms will become a natural part of the tools we use – so we focus on how to design rich models and engaging applications, and communicating those designs to our teams, stakeholders, and clients.

Session Takeaways

  • Understand the core principles/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, structuring, and creating 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.

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