The aim of Data Intelligence and Informatics Practice journal is to provide a platform for research, academic and industry communities to disseminate, exchange and communicate their use cases, best practices and application-oriented research papers related to data intelligence, data science, industrial artificial intelligence, applied machine learning, informatics, etc.
General topics covered include, but are not limited to:
- Data quality
- Data storage
- Data processing
- Data analytics
- Data science
- Data mining
- Applied machine learning
- Industrial artificial intelligence
- Decision support systems
- Informatics
- Information systems
- Health informatics
- Business informatics
- Business information systems
- E-Health & mobile health
- Digital business & social computing
- Big data
- ICT
- FinTech
- Block-chain
- Business analytics
- Internet of things
- Edge computing
- Real-time monitoring systems
- Image processing
- Pattern recognition
- Fuzzy logic
- Deep learning
- Energy informatics
- Energy artificial intelligence
- Smart energy systems
All published articles shall strictly follow a continuous quality policy, based on peer reviewing to ensure that they are:
- Technologically and technically outstanding
- Application-oriented with best practices
- Benefit for broader research audience
Publication Ethics
Data Intelligence and Informatics Practice request all members involved in the journal publishing process to adhere to the Core Practices on publication ethics as stipulated by Committee on Publishing Ethics (COPE) in compliance with the information and guidelines on handling publishing ethics allegations as described in the Publishing Ethics Resource Kit (PERK).
The journal editors take all possible misconduct seriously. The Editors, authors, or readers can forward their concerns to the journal if they find out that the description in a submitted article may constitute academic fraud, research misconduct, or publication malpractice. The concerns or complaints on the possible allegations submitted to the journal will be dealt with promptly and appropriately according to the procedure set out in the COPE flowchart on complaints and in PERK. The complainant may direct all inquiries and correspondence to the Publisher at publisher@tecnoscientifica.com.
Plagiarism
The journal will not accept manuscripts that are plagiarized in any circumstances. The journal will verify the originality of the submitted manuscripts with Turnitin, the plagiarism detection software.
If a manuscript uses a text copied directly from another source, this text must be written in quotation marks and original source must be cited. If any kind of plagiarism is detected during the review process, the manuscript will be rejected.
Copyright Notice
Authors shall retain the copyright of their work and grant the Journal/Publisher rights for the first publication with the work concurrently licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Under this license, authors who submit their papers for publication by Data Intelligence and Informatics Practice agree to have the CC BY 4.0 license applied to their work, and that anyone is allowed to reuse the article or part of it free of charge for any purpose, including commercial use. As long as the author and original source are properly cited, anyone may copy, redistribute, reuse and transform the content.
This broad license intends to facilitate free access, as well as the unrestricted use of original works of all types. This ensures that the published work is freely and openly available in perpetuity.
Privacy Statement
The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.
