Shared by Sheila MacNeill during Jan 25 web conference with Dragan Gasevic -- short briefing paper on the Sematic Web, linked and open data from JISC CETIS (PDF)
as I attempted to raise during LAK11, intent is critical. If LAK is primarily accountability driven, then more complex outcomes available IF questioning of data is deeper, may be missed (or ignored/buried/not sought)
Among other things, the system will report such factors as research
expenditures, publications, teaching evaluations, and external support.
myschool is already developing into such a site. Insightful LAK, with holistic intention, not narow agendas, is preferable. Metrics, data, inclusions and questions need bipartisan support IF education is to be apolitical.
That was a swipe at the Texas Public Policy Foundation, a conservative think
tank supported by Gov. Rick Perry that has advocated a controversial blueprint
known as the "Seven Solutions" to higher education
intent, questions asked, data deemed inclusive, all crucial for LAK outcomes. Enormous potential for misrepresentations exist IF analytics is poorly conceived and managed.
Mr. Powell said the database would allow students, parents, legislators, and
others to easily examine detailed data about how different campuses and
departments performed.
The plan unveiled on Thursday designates money to create a "dashboard"-an interactive, online database-to give students, parents, and legislators access to detailed measures of departments' and colleges' productivity and efficiency. Data on individual professors will probably also be included, although Dr. Cigarroa stressed that each campus would be able to develop its own system of metrics and the details have not yet been worked out
With regard to the challenges, enterprise data is very messy, inconsistent, and spread out across multiple internal systems and applications. APIs like the ones we're working on can bring consistency and structure to a company's legacy data.
entity relation extraction is an important trend.
Entity relation extraction helps detect new knowledge in big data.