Report of the Data Information Systems Commission, State of Illinois.

Mode of access: Internet.

Uniform information practice code : Chicago hearing, August 6, 1982, 10.00 a.m., Room 1818, 160 North LaSalle Street, Chicago, Illinois.

Cover title.

A survey of educational data banks /

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Federal privacy legislation and the Illinois response /

Cover title.

Protecting the privacy of Illinois citizens : responding to Federal initiatives /

Cover title.

A preliminary survey of E.D.P. procurement procedures /

Cover title.

Computer crime : its setting and the need for deterrent legislation /

Includes bibliographies.

The Computer management of medical payments /

Cover title.

Development and expansion of the natural resource data and information systems in support of the Illinois Comprehensive Wildlife Conservation Plan : annual segment report 2005 /

Submitted to Illinois Department of Natural Resources.

Development and expansion of the natural resource data and information systems in support of the Illinois Comprehensive Wildlife Conservation Plan : final project completion report 2006, project 5-02-P-001, 1 February 2003 to 30 September 2006 /

Submitted to Illinois Department of Natural Resources.

A framework for qualitative analysis of focus group data in information systems

Focus groups are a popular qualitative research method for information systems researchers. However, compared with the abundance of research articles and handbooks on planning and conducting focus groups, surprisingly, there is little research on how to analyse focus group data. Moreover, those few articles that specifically address focus group analysis are all in fields other than information systems, and offer little specific guidance for information systems researchers. Further, even the studies that exist in other fields do not provide a systematic and integrated procedure to analyse both focus group ‘content’ and ‘interaction’ data. As the focus group is a valuable method to answer the research questions of many IS studies (in the business, government and society contexts), we believe that more attention should be paid to this method in the IS research. This paper offers a systematic and integrated procedure for qualitative focus group data analysis in information systems research.

A practical taxonomy of methods and literature for managing uncertain spatial data in geographic information systems

Perfect information is seldom available to man or machines due to uncertainties inherent in real world problems. Uncertainties in geographic information systems (GIS) stem from either vague/ambiguous or imprecise/inaccurate/incomplete information and it is necessary for GIS to develop tools and techniques to manage these uncertainties. There is a widespread agreement in the GIS community that although GIS has the potential to support a wide range of spatial data analysis problems, this potential is often hindered by the lack of consistency and uniformity. Uncertainties come in many shapes and forms, and processing uncertain spatial data requires a practical taxonomy to aid decision makers in choosing the most suitable data modeling and analysis method. In this paper, we: (1) review important developments in handling uncertainties when working with spatial data and GIS applications; (2) propose a taxonomy of models for dealing with uncertainties in GIS; and (3) identify current challenges and future research directions in spatial data analysis and GIS for managing uncertainties.