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P-20W Federated Data Systems November 16 , 2011 2:45 – 3:45

P-20W Federated Data Systems November 16 , 2011 2:45 – 3:45. Matthew Bryant (VA) Marina Moschos (VA) Ajay Rohatgi (VA) Najmah Thomas (VA) Henry Paik (VA). Background. SLDS Project Awarded in 2010 Divided into 5 “Outcomes”

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P-20W Federated Data Systems November 16 , 2011 2:45 – 3:45

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  1. P-20W Federated Data Systems November 16, 2011 2:45 – 3:45 • Matthew Bryant (VA) • Marina Moschos (VA) • Ajay Rohatgi (VA) • Najmah Thomas (VA) • Henry Paik (VA)

  2. Background SLDS Project Awarded in 2010 Divided into 5 “Outcomes” Primary objective is creating portal and securely accessing data merged across agencies “Data Governance” is unique outcome within the proposal SLDS grant proposal was itself a multi-agency “project,” under direction from the Governor’s office

  3. Initial Partners Virginia Department of Education State Council on Higher Education for Virginia Virginia Employment Commission Virginia Community College System (Workforce Office)

  4. Federated Model Driven by Virginia’s Privacy Act • Consolidated Data Warehouse not Possible • Received Attorney General Approval Respects agencies’ need to maintain their own data • Step 1: Agencies de-identify data and apply hash algorithm with common seed to common data elements • Step 2: Using the hash, third party (the Shaker) matches records, strips hash and assigns unique identifier • Step 3: Records delivered to requester No party can match the linked records back to identifiable data

  5. Federated Architecture

  6. Lexicon Inventory of every available data field in every available data source Structure of their storage Possible values and meanings of the information stored All possible transformations of each set of field values to another set of field values Methods of data source access Matching algorithms and how they are to be used in conjunction with possible field value transformations

  7. Security Model Hashing Data staged by each participating agency Hash algorithm applied to individual records based on common “seed,” creating single-use, unique ID Records merged based on unique ID, which is stripped out after merge Merged records delivered to researcher Data Adapter Web services used to request data Data is staged at each agency Adapter installed at each agency’s staging database Adapter manages web service calls from shaker and lexicon Adapter works with shaker to manage the hashing process

  8. State Council of Higher Education for Virginia Impact on VA Higher Education State Objective Where appropriate, align post secondary education with the workforce needs of business and employment needs of students. Data Challenges Merging K12 and HE data Using the data to answer key policy questions Granting researchers access to the data Opportunities Virginia College Navigator website Feedback reports (High School and Transfer) Tracking graduates into the workforce Does transfer affect workforce outcomes?

  9. Virginia Community College System WDQI Project Background Objectives To use data to understand workforce programs and improve performance Promote the workforce system Needs Linking data across multiple programs Automation of data merging process Formalized data sharing agreements Solutions SLDS Grant (USED) WDQI Grant (US DOL) Federated Data System

  10. Building Blocks of a Successful Data Governance Model Book of Data Governance Data Governance Council and Constitution – who we are Policies – what needs to get done Procedures – how things get done Critical Path Items Establish Council Draft Council by-laws Burning questions – what questions do we want to answer? Master Agreement – cooperative agreement amongst the participating agencies that authorizes the Council to make decisions

  11. Critical Success Factors Members must find common ground and politics through a shared vision/goal or develop one as a first priority Members must make significant time commitments to the Governance process Documentation is vital to maintaining structure and minimize rework Delegation of tasks to sub-committees/working groups Communication with and involvement of the development teams “Data governance is as much about people as it is policies”

  12. P-20W Federated Data Systems: Contacts Contact Info: Matthew Bryant, 804-786-1212,matthew.bryant@doe.virginia.gov Marina Moschos, 804-371-0554 marinamoschos@schev.edu Ajay Rohatgi, 804-786-0529, ajay.rohatgi@vita.virginia.edu Najmah Thomas, 804-819-1666, nthomas@vccs.edu Henry Paik, 703-689-3054, Henry.Paik@cit.org

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