Skip to main content
Add as a preferred source on Google


U.S. Department of Education is member of the Schools Interoperability Framework (SIF) Association

  • 11/01/03

The U.S. Department of Education is the newest member of the Schools Interoperability Framework (SIF) Association. SIF works to make education data available quickly and easily by connecting schools and districts to higher reporting levels. This works to reduce redundant data entry, data isolation, increased support costs and insufficient data reporting to decision-makers. With the Education Department working as a part of SIF, data reporting in compliance with the No Child Left Behind Act, as well as with other state and federal laws will become more efficient and effectual. For more information, visit www.sifinfo.org.

Featured

  • digital lock with circuit patterns

    IBM Adds New AI-Powered Cybersecurity Tools

    IBM has unveiled an expanded portfolio of AI-powered cybersecurity products, positioning the company to compete more aggressively in a rapidly evolving market where enterprises are increasingly turning to artificial intelligence to defend against automated cyber threats.

  • Human Hand Assembling Digital Data Blocks

    Report: AI Impact Starts Relies on Strong Data Foundation

    High-impact AI implementations are more likely to treat data architecture, governance, and operationalization as strategic requirements, according to the 2026 Blueprint report from TDWI.

  • person typing on a touch screen schedule plan calendar

    Deadline Extended for ADA Title II Compliance

    Schools working to meet the Americans with Disabilities Act Title II regulations for digital accessibility have received a temporary reprieve: The United States Department of Justice has published an interim final rule to push back the compliance deadline by one year.

  • AI logo near computer equipment

    White House Issues National Policy Framework for AI

    The White House has released a four-page AI policy framework aimed at setting a national approach to AI, with priorities including child safety, intellectual property protections, truth and accuracy guardrails, and worker training for an AI-driven economy.