Provision of an integrated data analysis platform for computational neuroscience experiments

© Emerald Group Publishing Limited. Purpose – The purpose of this paper is to provide an integrated analysis base to facilitate computational neuroscience experiments, following a user-led approach to provide access to the integrated neuroscience data and to enable the analyses demanded by the biomedical research community. Design/methodology/approach – The design and development of the N4U analysis base and related information services addresses the existing research and practical challenges by offering an integrated medical data analysis environment with the necessary building blocks for neuroscientists to optimally exploit neuroscience workflows, large image data sets and algorithms to conduct analyses. Findings – The provision of an integrated e-science environment of computational neuroimaging can enhance the prospects, speed and utility of the data analysis process for neurodegenerative diseases. Originality/value – The N4U analysis base enables conducting biomedical data analyses by indexing and interlinking the neuroimaging and clinical study data sets stored on the grid infrastructure, algorithms and scientific workflow definitions along with their associated provenance information

Construction of a Pragmatic Base Line for Journal Classifications and Maps Based on Aggregated Journal-Journal Citation Relations

A number of journal classification systems have been developed in bibliometrics since the launch of the Citation Indices by the Institute of Scientific Information (ISI) in the 1960s. These systems are used to normalize citation counts with respect to field-specific citation patterns. The best known system is the so-called "Web-of-Science Subject Categories" (WCs). In other systems papers are classified by algorithmic solutions. Using the Journal Citation Reports 2014 of the Science Citation Index and the Social Science Citation Index (n of journals = 11,149), we examine options for developing a new system based on journal classifications into subject categories using aggregated journal-journal citation data. Combining routines in VOSviewer and Pajek, a tree-like classification is developed. At each level one can generate a map of science for all the journals subsumed under a category. Nine major fields are distinguished at the top level. Further decomposition of the social sciences is pursued for the sake of example with a focus on journals in information science (LIS) and science studies (STS). The new classification system improves on alternative options by avoiding the problem of randomness in each run that has made algorithmic solutions hitherto irreproducible. Limitations of the new system are discussed (e.g. the classification of multi-disciplinary journals). The system's usefulness for field-normalization in bibliometrics should be explored in future studies.Comment: accepted for publication in the Journal of Informetrics, 20 July 201

Large-Scale Analysis of the Accuracy of the Journal Classification Systems of Web of Science and Scopus

Journal classification systems play an important role in bibliometric analyses. The two most important bibliographic databases, Web of Science and Scopus, each provide a journal classification system. However, no study has systematically investigated the accuracy of these classification systems. To examine and compare the accuracy of journal classification systems, we define two criteria on the basis of direct citation relations between journals and categories. We use Criterion I to select journals that have weak connections with their assigned categories, and we use Criterion II to identify journals that are not assigned to categories with which they have strong connections. If a journal satisfies either of the two criteria, we conclude that its assignment to categories may be questionable. Accordingly, we identify all journals with questionable classifications in Web of Science and Scopus. Furthermore, we perform a more in-depth analysis for the field of Library and Information Science to assess whether our proposed criteria are appropriate and whether they yield meaningful results. It turns out that according to our citation-based criteria Web of Science performs significantly better than Scopus in terms of the accuracy of its journal classification system

'Datafication': Making sense of (big) data in a complex world

This is a pre-print of an article published in European Journal of Information Systems. The definitive publisher-authenticated version is available at the link below. Copyright @ 2013 Operational Research Society Ltd.No abstract available (Editorial

How Shall We Manage Our Journals in the Future? A Discussion of Richard T. Watson\u27s Proposals at ICIS 2004

Journals are the lifeblood of all academic professions, including information systems. At the 2004 International Conference on Information Systems (ICIS), Rick Watson, then President of the Association for Information Systems (AIS), presented proposals for improving IS journal management that included accrediting reviewers, creating a market for journal articles, and moving our journals to the next level of Internet sophistication. This paper reports on a panel of journal editors convened at ICIS 2005 to discuss the Watson proposals and their implications. The editors were those of the Journal of the Association for Information Systems, the Journal of MIS, and Management Information Systems Quarterly in the United States and the Journal of Information and Technology in the United Kingdom. The paper presents their views and a reply by Watson

Quality-testing the legal Internet: finding law with the SOSIG Law Gateway

English language version of a preprint of an article by Steven Whittle, Information Systems Manager at the Institute of Advanced Legal Studies, published in Recht Bibliothek Dokumentation, the journal of the AjBD Arbeitsgemeinschaft für juristisches Bibliotheks-und Dokumentationswese

Goals, Values, and Expectations of the AIS Family of Journals

The Association for Information Systems (AIS) is the premier professional association for individuals and organizations that lead the research, teaching, practice, and study of information systems. It serves society through advancing knowledge and promoting excellence in the practice and study of information systems. To that end, the AIS hosts seven academic journals: Journal of the Association for Information Systems (JAIS), Communications of the Association for Information Systems (CAIS), AIS Transactions on Human-Computer Interactions (THCI), AIS Transactions on Replication Research (TRR), Pacific Asia Journal of the Association for Information Systems (PAJAIS), Revista Latinoamericana y del Caribe de la Asociación de Sistemas de Información (RELCASI), and Scandinavian Journal of Information Systems (SJIS). In this editorial statement, we summarize the different mission statements for each journal; describe their different audiences, goals, and markets; and identify their shared values, requirements, and resources. We do so to assist AIS members to identify the most suitable journal outlet for their research