The journal is cataloging a number of different types of contributed content:
Data articles which describe an ontology, a knowledge graph, a vocabulary or thesaurus, a linked data set or a cluster of interoperable data sets and corresponding services, evaluation benchmarks or methods, APIs and software frameworks, workflows, crowdsourcing task designs, protocols and metrics. The contents should include the background of the work performed, the representation of standards used, information on how the datasets and services were built, descriptions of reliability, versioning, up time and sustainability and the application implications, disruptiveness and limitations as well. A full version of the data is encouraged to be stored in a sustainable, FAIR compliant repository or at minimum is to be linked to a journal or a third-party data repository to facilitate extended value through sharing, disseminating and reusing in other papers and applications as public domain resources.
Perspective or Commentary Articles
Perspective or commentary articles which express new perspectives including outlook, challenge, and opportunities on a specific topic in the authors’ area of expertise of high interest to the Data Intelligence community/audience.
Research & Application papers
► Research articles which present state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the topics on data generation, data analysis, data integration, data sharing, data management and related topics in the field of Data Intelligence.
► Data application articles which report specific domain or cross domain applications based on data resources, repositories and data-enabled technologies.
Letters to the Editor (LTE)
Letters to the Editor (LTE) which are rapid communications to publish short articles with a high degree of novelty.