An exploratory study of information systems subject indexing

The motivation for detailed study of information systems research subject indexing schemes is explained, along with an analysis of two indexing schemes proposed for use in the area.  A number of reference disciplines are examined for their ability to provide insights and analysis approaches

New approaches in selection and evaluation of electronic resources

In the early years of 2000, academic libraries used to transfer nearly 16% of their purchase budget to electronic resources which have been begun to be used commonly from the middle of the 1990’s whereas today it is clear that they transfer more than 90% of their budget. The selection and evaluation process of electronic resources have become much more important either due to the increasing budget spared for electronic resources or because of the tightening budgets of the libraries. In the light of the facts mentioned above, within the scope of the study, the issues to be taken into consideration throughout subscription process of the electronic resources, which has begun to gain speed since the beginning of 2000’s in our country, are specified. Within this framework, as well as focusing particularly on access models for the electronic resources, issues to be paid attention such as scope, content, functionality, cost, publisher support, licensing and technical requirements are also addressed. Primary requirements and approaches regarding the evaluation process are specified, as well

Teak: A Novel Computational And Gui Software Pipeline For Reconstructing Biological Networks, Detecting Activated Biological Subnetworks, And Querying Biological Networks.

As high-throughput gene expression data becomes cheaper and cheaper, researchers are faced with a deluge of data from which biological insights need to be extracted and mined since the rate of data accumulation far exceeds the rate of data analysis. There is a need for computational frameworks to bridge the gap and assist researchers in their tasks. The Topology Enrichment Analysis frameworK (TEAK) is an open source GUI and software pipeline that seeks to be one of many tools that fills in this gap and consists of three major modules. The first module, the Gene Set Cultural Algorithm, de novo infers biological networks from gene sets using the KEGG pathways as prior knowledge. The second and third modules query against the KEGG pathways using molecular profiling data and query graphs, respectively. In particular, the second module, also called TEAK, is a network partitioning module that partitions the KEGG pathways into both linear and nonlinear subpathways. In conjunction with molecular profiling data, the subpathways are ranked and displayed to the user within the TEAK GUI. Using a public microarray yeast data set, previously unreported fitness defects for dpl1 delta and lag1 delta mutants under conditions of nitrogen limitation were found using TEAK. Finally, the third module, the Query Structure Enrichment Analysis framework, is a network query module that allows researchers to query their biological hypotheses in the form of Directed Acyclic Graphs against the KEGG pathways

Information Outlook, May 2004

Volume 8, Issue 5https://scholarworks.sjsu.edu/sla_io_2004/1004/thumbnail.jp

Information Outlook, April 2007

Volume 11, Issue 4https://scholarworks.sjsu.edu/sla_io_2007/1003/thumbnail.jp

Management Utilization of Computers in American Local Governments

Traditional concepts of management information systems (MIS) bear little relation to the information systems currently in use by top management in most US local governments. What exists is management-oriented computing, involving the use of relatively unsophisticated applications. Despite the unsophisticated nature of these systems, management use of computing is surprisingly common, but also varied in its extent among local governments. Management computing is most prevalent in those governments with professional management practices where top management is supportive of computing and tends to control computing decisions and where department users have less control over design and implementation activities. Finally, management computing clearly has impacts for top managers, mostly involving improvements in decision information. © 1978, ACM. All rights reserved

Information Outlook, March 2004

Volume 8, Issue 3https://scholarworks.sjsu.edu/sla_io_2004/1002/thumbnail.jp

Information Outlook, December 2007

Volume 11, Issue 12https://scholarworks.sjsu.edu/sla_io_2007/1011/thumbnail.jp