SLDS

Statewide Longitudinal Data
Systems Grant Program
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Grantee State - Arizona

Websites:

  • Arizona Department of Education

2012 Grant Application

Arizona K-12 Statewide Longitudinal Data System (SLDS) Project

Start Date: 7/1/2012
End Date: 10/30/2015

Project Director: Mark Masterson

Amount Awarded: $4,966,706

Project Application 2.87 MB

Project Abstract 111 KB

Major Outcomes: TBA

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2007 Grant Application

Arizona Education Data Warehouse

Start Date: 8/1/2007
End Date: 5/31/2011

Project Director: Donald Houde

Amount Awarded: $5,954,518

Project Application 5.7 MB

Project Abstract 34 KB

Major Outcomes:

  • Supporting end-user training/on-going support, definition of policies, procedures, practices and materials relating to appropriate usage of ADE's rich data stores, the data visualization toolsets and performance measurement methodologies.
  • Integrating the AEDW into ADE's efforts to respond accurately and efficiently to Education Data Exchange Network (EDEN) federal data collection requirements.
  • Providing professional development for ADE's IT staff to assure the expanded AEDW's long term operational success and supportability.
  • Expanding IDEAL to develop an ADE managed, single sign-on, roles-based authentication engine that will include the option of multi-factor authentication for the roles requiring the most robust security.
  • Maturing ADE's technical security policies and their implementation.
  • Developing and implementing new data quality assurance policies and procedures.
  • Developing an on-line, near-line and off-line data archiving strategy that uses analysis about how data is used to determine where data lies in the archival stack.
  • Upgrading our business continuity plan (BCP) and its associated disaster recovery (DR) plan to assure that as dependencies upon the accuracy and availability of AEDW and IDEAL expand, the risk of realizing a loss is minimized.
  • Enhancing the legacy data collection methodologies.
  • Developing and executing an integration plan with existing and future application requirements.
  • Developing a data dictionary and knowledge base including traditional data definitions, a data element's source, legislative references and associated business rules.
  • Expanding data collection efforts and utilize data analysts to organize and normalize the data (e.g. course codes) newly collected from the LEAs' multitudinous student information systems.
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