October 2015 ECAR Working Group EDUCAUSE Conference

October 2015 and I’ve been invited to address the ECAR working groups as they address big data and analytics issues and likely impact on Higher Education.
ECAR has 294 members across 146 institutions in 9 countries comprise the 17 working groups. These produce articles, guidance, reviews across a range of topics all available from the above link.

2016 Top 10 IT issues (Concerns)

1. Mobile incorporation
2. SaaS
3. Business performance analytics
4. App development
5. Accessing online courses from mobile devices
6. Mobile apps for enterprise applications
7. Service desk tool and management
8. Learning Analytics
9. Data collection and sophisticated analytics for information security
10. Application performance monitoring


My sides Jisc slides on data underpinned shared services for higher education

Kent Wada, UCLA UCLA Chief Privacy Officer
Harmony for Big Data

Kent aired the fact that there are all sorts of things we can do with data but should we. Jisc has addressed this with our Ethical framework for learning analytics (though these play well with any data underpinned service). Similar to US data compliance and fair information practices principles.

‘Information security’ protects all information (making it available to the right people with the right permissions). ‘Information privacy’ protects data about people. In the UK the latter is dealt with by our data protection act. The Jisc and HESA business intelligence work detailed in my slides have addressed these issues through organisational and end user agreements and training and information security compliancy to ensure the two organisations are acting responsibly as data controllers.

Privacy hazards include
Indiscriminate collection of data (volunteered, observed, inferred), indefinite storage and re-use, de-identfied and re-identfied data (piecing together disparate anonymised data to identify an individual), data breaches and predictive analytics (is the model accurate and (being used appropriately). All issues to be addressed,but not to stifle innovation in data use I hope!


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