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An important part of each state’s Part C and Part B 619 accountability system is the regular reporting of data related to the implementation of IDEA. Part C and Part B 619 state sta or representatives analyze and publicly report data for a variety of reasons. Public reporting is the
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publishing of information that has no restricted access (i.e., information or data that contains personally identifying information cannot be released in public reports). Public reports are generated to a) meet federal reporting requirements; b) meet state reporting requirements, c) address local and state program accountability and improvement needs; and d) provide
information to the general public. State and local reports are made available through public means, including posting on lead agency Websites, distribution to the media, and distribution to local programs. Part C and Part B 619 public reporting policies should be consistent with applicable data system(s) purpose and vision statements. Reports should be tailored to speci c stakeholder groups (e.g. local programs, policy-makers, parents, service providers) and include their input in decisions about what reports should be developed. For example, the legislature might request annual reports on the monthly referrals as compared to enrollment into the program. The state advisory council might request regular reporting on frequency of speci c services based on local programs and age of children enrolled. The state agency overseeing the program may want to provide annual media releases about child outcomes. Data reports should be prepared to promote understanding of the data and inform state and local decision-making. Under IDEA Section 618, Part C and Part B must annually report data to the U.S. Secretary of Education and the public at the times speci ed by the Secretary (34 CFR 303.720 and 34 CFR 300.640. (34 CFR 303.722 and 34 CFR 300.642) . Additionally, states are required to report the state’s performance on its annual performance plan for Part B and for Part C [34 CFR 303.702(b)(2) and 34 CFR 300.602(b)(2)] . States must also publicly report on the annual performance of local education agencies (LEAs) and early intervention service (EIS) programs on state set targets for speci c priority indicators. These reports on LEA’s and EIS programs must be published no later than 120 days after the state submits its statewide Annual Performance Report (APR) [(34 CFR 303.702(b)(1) and 34 CFR 300.602(b)(1)] . While IDEA requires states to publicly report state and local performance data, IDEA does not require local agencies to publicly report data. Regardless, many local agencies or programs do report IDEA data regularly. State data governance policies on IDEA public reporting would apply to reports that are developed and disseminated at the local level. Both IDEA and ESSA 1 are clear that data publicly reported by each state must not result in disclosure of data identi able to an individual child. States must not report to the public any data or information on performance that would result in the disclosure of personally identi able information about individual children. (34 CFR 303.702(b)(3) , 34 CFR 722(a), 34 CFR 300.602(b)(3)) , and 34 CFR 300.642(a) . Therefore data containing personally identifiable information (PII) in public reports must be reported and displayed in ways that ensure no PII is identi able directly or through the combination of attributes (e.g., program, agency, disability category, race/ethnicity).
The U.S. Department of Education does not mandate a particular method of data protection techniques. Nor does it establish a threshold for what constitutes su cient disclosure avoidance (so that no personally identi able information is reported). These decisions are left up to the individual agencies and programs at the state and local level to determine what works best within their speci c contexts.
Definition De-Identification of Data: The process of removing or obscuring any personally identi able information from children’s education and early intervention records in a way that minimizes the risk of unintended
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