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For instance, state agencies aggregating longitudinal data to study student acheivement achievement and enrollment patterns needs access to student information triggered by events, not just a fixed window of time. Who stopped out? Exit interviews. Where are they going? What is the reason for stopping out premature? They also need access to faculty data to validate credentials, courses taught, research and other profile data that helps express the elements of instructional quality.

Today, the present mode of aggregating student data is through snapshopt snapshot and distributing copies of denormalized streams. Texas for example pulls a range of custom CBM reports across a wide range of datasets to track student, course, faculty and resource allocations across year/term sessions. Other states have similar data gathering approaches. With National Activities, governments are requesting more and more data down to the student level, to verify how programs of study are attrackingattracting, retaining and graduating students in top fields.

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The issue of access and security is not the obstacle. Any access method would have to have authentication and approval. The point is, how can we enable access to information managed by authoratative authoritative sources and reduce the duplication and half-life of data created by cloning?