Comparison of Open Access Software Engineering and Information Systems Journals

This dataset is a comparison of peer reviewed, DOAJ-listed journals in Information Systems and Software Engineering. The Directory of Open Access Journals already provides insightful data such as the publication name, publisher name, the start year of the journal, etc. DOAJ data has extensively been verified and extended. For example, this dataset provides the basic publication fees of each journal, whether the fees can be avoided, the reported indexing services, whether the author copyright is retained or not. Additionally, the list of potential predatory publishers http://scholarlyoa.com/publishers/ was consulted. The search was conducted between 2013-05-16 and 2013-05-22. To gather data, the author searched all DOAJ journals under the general subject of Computer Science. A total of 386 journals was retrieved by this query. http://www.doaj.org/doaj?func=subject&cpId=114&uiLanguage=en Firstly, the dataset was screened for non-relevant entries. Among the 386 entries of the query results, 30 were considered relevant for the context of the study. Reasons for exclusions included: journal either off-topic, or too wide scope (e.g., a topic related to Software Engineering included with non-relevant subjects such as Bio-Metrics, Nano-Computing) or too much specialized (e.g., only business information systems, only for developing countries); journal imposes barriers for submission (e.g., only from a certain nation); journal website not accessible; journal publishes only proceedings or special topics; journal without English only papers; no peer review of the papers (e.g., preprint servers). Special attention was given to the declared focus of the journal. In case the provided focus was considered off-topic or too much specialized, the last issue entries of the journal were manually examined to either confirm or reject the exclusion of the dataset. Special issues were not counted in the number of issues per year. The total amount of published papers has either been manually computed or through the journal statistics, if available. Please contact the author of this dataset, Daniel Graziotin [graziotin AT inf DOT unibz DOT it] for corrections to the data. In case of correction request, please provide the correction itself and the source.