1. Collaborative Data Management Computer Science Department Stanford University

2. 2 Structured Data Sources Company Directories Product Catalogs Inventories Airline Schedules Weather Reports Patient Records Drug Studies Formats Relational Database Files (tab-delimited text, XML/RDF)‏ Application Programs with data interfaces

3. 3 Relationships Among Sources Replicated data Cached data Materialized views (as in data warehouses)‏ Heterogeneity (different schemas or vocabularies)‏ Values in euro vs. values in dollars French instead of English Different numbers of tables or attributes Real World Constraints Physical laws Governmental laws Business rules

4. 4 Data Integration Single Answer Data Broker Manufacturer 1 Manufacturer 2 Marketplace Data Single Query Product analysis Satisfaction Ratings Supplier 1 Supplier 2 Supplier 3 Supplier 4

5. 5 Collaborative Data Management When sources are independent, they can be updated independently. In the face of interrelationships among sources, individuals performing updates must collaborate (explicitly or implicitly) to ensure correct updates. Collaborative Data Management must replace independent data management.

6. 6 Setting Closed Information Systems Single CIO Participants with different views of data Open Information Systems Composite enterprises Consortia / virtual enterprises Supply chains Scientific communities World Wide Web

7. 7 Example s Corporate Logistics - Enterprise Resource Directories Personnel, locations, organizations, equipment, orders Electronic Commerce - Integrated Product Catalogs Catalogs, inventories, product ratings, contracts Health Care - Consolidated Patient Records Doctors, nurses, lab technicians, administrators, patients Multidisciplinary Engineering - Concurrent Engineering Architects, engineers, construction planners Command and Control - Situation Assessment Commanders, intelligence, field officers, consultants

8. 8 Collaboration Data Management Initiative Collaboration Stanford Computer Science Department Companies Governmental Agencies (e.g. SEC)‏ Funding NSF Corporate Contributions Corporate Contracts (“ears”)‏

9. 9 Research and Development Research Data Integration Collaborative Logical Spreadsheets / Websheets Differential Logic Paraconsistent Logic Dynamic Constraints Workflow Management Development Web Standards Web-Based Data Brokers Web-Based Workflow Managers

10. 10 Proposed Applications Product Data Management (much past work)‏ Structured Data about products Correct on Capture Mfrs, Retailers/Customers, Trade Associations Lifecycle of products Health Care Data Management (maybe, probably not)‏ Electronic Patient Records Drug Trials Organizational Data Management (underway)‏ Orgnet - data on public organizations, public figures Stanford Online Proxy Reporting Initiative

11. Structure and Partners 11 To launch the CDMI, seed funding is from four major Silicon Valley companies: CISCO, HP, IBM, and SAP. The CDMI is an initiative of the Stanford Computer Forum (http://forum.stanford.edu), of which all of the founders are already members.http://forum.stanford.edu The project seed funding is $50K per member per year as part of supporting this Computer Forum initiative. The Computer Forum will provide the appropriate letters to pledge this support at our kickoff meeting. NSF funding based on the solicitation for “Information Integration and Informatics (III)” which is part of the “Information and Intelligent Systems (IIS) Program”

12. CDMI Pillars & Benefits 12 CDMI Visiting Scholar hosted by Professor Genesereth Office within the Stanford Logic Group Stanford Computer Forum normally charges $60K p.a., but support of the CDMI entiles founding members to be charged only $25K Projects: SOPRI Digital Department CODEX … Activities: Invitations to guest lectures Invitations to group events Invitations as guest speakers … Product data management in support of electronic commerce Organizational data management in support of corporate governance and reporting Techniques and tools for support of Collaborative Data Management, i.e. integration and updating of dependent data sources with complex relations and constraints. CDM must replace today’s independent data management.

13. 13 Digital Department Goal Enterprise Data Management for Stanford Components √ Room reservations (Existing Gates system)‏ Event Management (Equipment, Food, Mail lists)‏ Office Assignments Curriculum (prerequisites, requirements, policies)‏ Programs (Undergraduate, Masters, Doctoral) Integration Multiple Departments University Databases

14. Examples 14 Core Research & Technology Software Users CDMI Ear Project Showcase Evolving Project with CDMI Externals …

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