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Volume 6267: Electronic Government and the Information Systems Perspective . First International Conference, EGOVIS 2010, Bilbao, Spain, August 31. September 2, 2010. [NB: Behind paywall] Stakeholders’ Views on Government Enterprise Architecture: Strategic Goals and New Public Services . Katja Penttinen, Hannakaisa Isomäki An Investigation into Critical Determinants of e-Government Implementation in the Context of a Developing Nation . Nahid Rashid, Shams Rahman “What We Cannot Speak about We Must Pass over in Silence” – (In)correctly Arguing and Comparing the Costs of IT Investments in Public Sector . Samuli Pekkola, Kimmo Wideroos Small-Area Population Projections - A Key Element in Knowledge Based e-Governance . Henning Sten Hansen From Policy-Making Statements to First-Order Logic . Adam Wyner, Tom Engers, Kiavash Bahreini A Fuzzy Recommender System for eElections . Luis Terán, Andreas Meier Web 2.0 Creates a New Government . Roland Traunmüller Elements of Comprehensive Assessments...

My earlier entry/rant, It's not Open Data, so stop calling it that... about the non-Open Data nature of a number of Canadian cities' Open Data initiatives is supported by the just released Ten Principles for Opening Up Government Information from the Sunlight Foundation . Specifically: 6. Non-discrimination "Non-discrimination" refers to who can access data and how they must do so. Barriers to use of data can include registration or membership requirements. Another barrier is the uses of "walled garden," which is when only some applications are allowed access to data. At its broadest, non-discriminatory access to data means that any person can access the data at any time without having to identify him/herself or provide any justification for doing so. 8. Licensing The imposition of "Terms of Service," attribution requirements, restrictions on dissemination and so on acts as barriers to public use of d...

The U.S. Association of Research Libraries (ARL) has produced a new report ( E-Science and Data Support Services ).

The recent reports on being able to predict Alzheimer's ( Alzheimer's predicted by spinal-fluid test -- CBC, 2010.08.10) are the direct results due to the data sharing of scores of biomedical researchers ( Sharing of Data Leads to Progress on Alzheimer’s -- New York Times, 2010.08.10). The sharing included both academic researchers and drug company researchers. The data sets are available online: Companies as well as academic researchers are using the data. There have been more than 3,200 downloads of the entire massive data set and almost a million downloads of the data sets containing images from brain scans. Alzheimer’s Disease Neuroimaging Initiative (ADNI), the organization looking after the data, has a very complete policy ( Alzheimer’s Disease Neuroimaging Initiative (ADNI) Data Sharing and Publication Policy ) about their data sharing.