Guest editorial

Tran Khanh Dang, Josef Küng
<span title="2021-09-16">2021</span> <i title="Emerald"> <a target="_blank" rel="noopener" href="" style="color: black;">International Journal of Web Information Systems</a> </i> &nbsp;
Recent advances in big data and security engineering for web/distributed applications The annual International Conference on Future Data and Security Engineering (FDSE) is a premier forum designed for researchers, scientists and practitioners interested in state-ofthe-art and state-of-the-practice activities in data, information, knowledge and security engineering to explore cutting-edge ideas, to present and exchange their research results and advanced data-intensive applications, as well as
more &raquo; ... discuss emerging issues on data, information, knowledge and security engineering. At the annual FDSE, the researchers and practitioners are not only able to share research solutions to problems of today's data and security engineering themes but are also able to identify new issues and directions for future-related research and development work. The proceedings of FDSE have been published in the Lecture Notes in Computer Science (LNCS) and Communications in Computer and Information Science (CCIS) series by Springer. Besides DBLP and other major indexing systems, the FDSE proceedings have also been indexed by Scopus and listed in Conference Proceeding Citation Index of Thomson Reuters. FDSE 2020 took place in an entirely virtual mode (Quy Nhon University, Binh Dinh Province, Vietnam) during November 25-27, 2020, which I was the PC co-chair. The tworound call for papers resulted in the submission of 161 papers. A rigorous peer-review process was applied to all of them. This resulted in 24 accepted papers (acceptance rate: 14.9%) and two keynote speeches for LNCS 12466, and 37 accepted papers (including eight short papers, acceptance rate: 23%) for CCIS 1306, which were presented online at the conference. Every paper was reviewed by at least three members of the International Program Committee, who were carefully chosen based on their knowledge and competence. This careful process resulted in the high quality of the contributions published in these two volumes. This special issue titled "Recent advances in big data and security engineering for web/ distributed applications" features selected papers from FDSE 2020. We selected and invited authors of the top-quality papers to revise and extend at least 30% comparing to their published versions in the proceedings. After a double-blind peer review process with at least two reviews is received for each submission, we have decided to accept six papers to include in this issue. The first paper entitled "Data Quality for Federated Medical Data Lakes," by is an extended version of one of the invited keynote papers at FDSE 2020. The purpose of this research is to propose an architecture to support researchers to efficiently and effectively identify relevant collections of material and data with documented quality for their research projects while observing strict privacy rules. This paper discusses the quality dimensions for data sets for medical research in-depth and proposes representations of both the metadata and data quality documentation with the aim to support researchers to effectively and efficiently identify suitable data sets for medical studies. The second paper is entitled "A Study on Time Models in Graph Databases for Security Log Analysis," by
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1108/ijwis-09-2021-0088</a> <a target="_blank" rel="external noopener" href="">fatcat:h4stvp7qz5czrg2sxm3vmgern4</a> </span>
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