Data Technologies and Applications (DTA)

This is now an inter-disciplinary journal with broader coverage. It continues to cover Computing and Information Science, but now also the Social Sciences in general and any other discipline that is concerned with digital data. In all cases, research papers should include relevant evaluation or empirical content. Surveys on important emerging topics are also sought, whenever they follow a rigorous and systematic approach to review the literature and a sound and insightful analysis of promising avenues for research. Previous related surveys or reviews need to be properly discussed, and they have to be comprehensive, detailed and insightful. There are no limitations on the approaches to selecting data analysis or research methods. These may include experimental designs, longitudinal studies, social network analysis, statistical profiling and measurement against benchmarks to name a few. Qualitative methods are acceptable whenever properly justified and having a strong analysis design. The scope of DTA covers also novel computational techniques when they are of an applied nature and include relevant empirical evaluation. Relevant topics include but are not limited to the following: Studies on information creation or use of Web information including collaboration (e.g. Wikis) social media or other. Sharing of data using the Web of Data/Linked Data approach. E-science and data science. Semantic Web and intelligent techniques exploiting digital information on the Web. Dealing with large volumes of data with novel processing techniques. Studies on the structure of social networks and social platforms. Information behaviour of users in the Web, including social platforms, games and any other kind of interaction place. Empirical analysis of on-line communities. Classification and recommendation approaches for digital information of any kind. Analytics and business analytics.

Data Technologies and Applications (DTA) is :-

• International, Peer-Reviewed, Open Access, Refereed, Data Science, Information Science, Computer Science, Web Science, Social Sciences, Digital Information Management, Business Analytics, Computational Methods , Online or Print , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2514-9288, E-ISSN: 2514-9318, Established: 1968, Impact Factor: 1.5
• Provides Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE