HPVIS and the "Architecture of Participation" Presented at First U.S. Conference on Characterizing Chemicals In Commerce: Using Data on High Production.

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HPVIS and the "Architecture of Participation" Presented at First U.S. Conference on Characterizing Chemicals In Commerce: Using Data on High Production Volume Chemicals December 14, 2006 Scott Butner Senior Research Scientist Knowledge Transformation and Integration Group Pacific Northwest National Laboratory

2 What is "The Architecture of Participation?" Term coined by Tim O'Reilley to describe social computing environments in which users are an integral part of adding value to data Perhaps best exemplified via recommendations, reviews on Amazon.com Wikipedia is another popular example "Architecture of Participation" is a fundamental element of what has been dubbed "Web 2.0" A philosophy regarding data, users, and application development

3 Why is this Relevant to HPVIS? Brion Cook's goal of "…a database that meets everybody's needs" is laudable But it's not possible! Web 2.0 concepts – rooted in the Architecture of Participation – can move us closer to the realization of that goal than a monolithic application By opening up development routes never anticipated By harnessing the collective energies and efforts of a much broader development team By facilitating integration of HPVIS data with other information

4 What are the Key Themes Underpinning Web 2.0? O’Reilly identified the following key themes: Cost Effective Scalability Software Above the Level of a Single Device Services, not Packaged Software Remixable Data Sources & Data Transformations Harnessing Collective Intelligence “Architecture of Participation” Highlighted themes are probably the most critical to HPVIS

5 Elements of the Architecture Architecture of Participation Services, Not Software Remixable Data and Data Transformations Harnessing Collective Intelligence Users add value to data Users integrate data where and how they need it The data lives beyond the application

6 Services, not Packaged Software – Web-based API's and Mash-ups Frappr -- Web-based APIs (Application Programming Interfaces) provide access to sophisticated capabilities without heavy programming requirements Can be combined in “Mash-ups” to extend capabilities or add value to data

7 Remixable Data Sources & Data Transformations Modular content and web services allow users to “mix and match” their own content Allows content providers to get a place on the daily desktop Google personalized homepage – easy modular content

8 Harnessing Collective Intelligence – Folksonomy & Tagging Turns the idea of “controlled vocabularies” upside down Users decide how to label information; convergence on terms (“tags”) is an evolutionary process -- a prominent social bookmarking site

9 "Architecture of Participation" – Wikis and Blogs Wikipedia entry on RCRA -- Web 2.0 puts the ability to create content – for better or worse – into the hands of users By simplifying and democratizing web content development, it creates new opportunities and new challenges for “authoritative sources” Realize that this is going on with or without you and your program!

10 Early Adopters in the Environmental Domain

11 Applying the “Architecture of Participation” to HPVIS Enable service-level access to the data Ad-hoc queries should support web services interface, XML outputs, and some degree of self-documentation Support for queries that enable mash-ups: List of all chemical names, mapped to ID Query by CAS Link to folksonomy-based “workspace” Users need the ability to link HPVIS data with other information resources Folksonomy would allow new categories to be defined E.g., by product, location (facility), project Support for visualizations of data Compelling applications of the data are often facilitated by compelling presentation of the data

12 Applying the “Architecture of Participation” to HPVIS (continued) Harness collective intelligence and social participation more effectively Much of the data in HPVIS is narrative and/or bibliographic in nature Lends itself to wiki format quite nicely! Make the semantics explicit At the very least, publish a data dictionary! Harness the spirit of “perpetual beta” E.g., Google’s “Summer of Code”, Yahoo’s API library Open doors to making your user community part of the development team

13 ConclusionsConclusions Some – maybe the best – applications of HPVIS data have not yet been envisioned Emerging trends in web technology facilitate much greater interaction between user community and the data they need HPVIS tool as configured does little to support this approach “opening up” the data can be done without abandoning the existing investment in data, technology