Open Access Policy

I. LICENSING

As HCMCOU Journal of Science – Advances in Computational Structures (hereinafter referred to as the Journal) continues to evolve in alignment with its mission of integration and connectivity with national and international data systems, it recognizes the significance of categorizing all scientific articles and published research as open educational resources (OER). As a member of the DOAJ organization, the Journal enables readers to open access to all publications immediately upon publication, adhering to the regulations set forth by DOAJ.

Authors grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

Authors and readers have the privilege of searching, viewing, and downloading the complete text of all electronic articles featured in the Journal without incurring any charges. They are also authorized to copy, distribute, display, and create derivative works based on the original work for lawful and non-commercial purposes, provided that proper citation of the source is included. This practice aligns with the terms outlined in the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). The specific terms are as follows: 

Attribution – Non-Commercial 4.0 International: content under CC BY-NC 4.0 can be shared and adapted freely for non-commercial purposes as long as proper attribution is provided to the original creator. It's a way to encourage the sharing of knowledge and creative works while protecting the rights of the original authors and creators, read more at this link.

II. DATA SHARING AND REPRODUCTIVITY POLICY

Research data is acquired, observed, or generated with the aim of facilitating analytical endeavors to produce research findings. This data can be generated for various objectives through distinct methodologies and can be categorized into various data types: 

  • Observational data: This refers to data collected in real-time situations, which is unique and irreplaceable. Examples include data gathered from sensors, observations, and interviews.

  • Experimental data: These are data directly obtained from laboratory experiments and can often be reused multiple times. Instances of this include human gene sequences or magnetic field data.

  • Simulation data: This pertains to data generated from simulated models, such as economic models or weather forecasting models.

Research data can take on a multitude of forms, including: 

  • Textual materials: This encompasses documents, letters, and spreadsheets.

  • Lab records: Notes and observations recorded during experiments, or even diary entries.

  • Survey data: Collected through questionnaires and handwritten notes.

  • Multimedia data: Such as audio and video recordings, images, and movies.

  • Scientific data: Including data related to experimental reactions.

  • Physical artifacts: Like slides, specimens, and samples.

  • Digital objects: A collection of digital items created and amassed during the research process.

  • Data records: Various types of structured or unstructured data.

  • Database content: Comprising images, sounds, and text within databases.

  • Code and scripts: Algorithms and scripts used for analysis.

  • Methodologies and workflows: Describing the steps and procedures followed.

  • Standard processes and protocols: Established methodologies and guidelines adhered to during research.

The Journal is a proud member that adheres to the open access policies of the Directory of Open Access Journals (DOAJ). The journal is dedicated to promoting transparency, accessibility, and reproducibility in research. It strongly advocates for the sharing of research data, allowing readers to discover and cite these valuable intellectual assets, guided by the FAIR principle: 

  • Findability: Research data should be readily discoverable, whether in print or electronic formats. It should have a permanent and unique identifier (DOI) and be appropriately indexed for easy access and searchability.

  • Accessibility: Research data must be made publicly available, either in print or electronically, and securely stored for future reference, ensuring easy retrieval for interested parties.

  • Interoperability: Research data should be structured in a standard format, making it accessible, shareable, flexible, and compatible with multiple platforms for widespread use.

  • Reproducibility: pen access to research data encourages its reuse, thereby promoting quality control and efficient management of research data.

  • Integrity: While the publication of research data is encouraged, it is essential to consider and respect privacy, legal, ethical, and commercial constraints that may limit its disclosure.

1. Data sharing

The Journal's guidelines stipulate that authors are obligated to share data and additional information substantiating the results presented in their articles. This sharing should be facilitated by storing the data in an appropriate public repository, such as GitHub, Google Drive, iCloud, etc. Authors are also required to include a statement addressing reader access and usage of the data within their articles, along with a link to the utilized archive. This statement may be directly attached to the article. Moreover, in accordance with the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) guidelines, proper citation of shared data is mandatory.

2. Data Reproductivity

The Journal adheres to the guidelines established by the Committee on Publication Ethics (COPE) regarding data reproducibility and replicability, which can be defined as follows: 

  • Reproducibility: This refers to the use of data and analysis from the original study to produce results that are consistent with the initial findings.

  • Replicability: This involves collecting new data to arrive at scientific conclusions and findings that are similar to those of a previous research study.

Authors are kindly requested to familiarize themselves with the Policy for Handling Allegations of Research Misconduct before they embark on reusing research data to ensure responsible and ethical data practices.

In the context of other publishers republishing articles initially published by the Journal, the following conditions must be observed: 

  • Articles published in both print and online formats in specialized journals and proceedings of the Journal must adhere to the Journal's policies. This includes respecting the Journal's ownership of the article and the author's copyright. Additionally, these articles must comply with the applicable international laws to which the Journal is a party (such as the Creative Commons Attribution-NonCommercial 4.0 International License - CC BY-NC 4.0).

  • If the publisher fulfills the following conditions and provides a written commitment to the Journal, republishing in another publication may be permitted: 

    • The republishing should not be for commercial purposes.

    • The content, authorship, and source of the original publishing magazine must remain unchanged.

    • Proper citation of the original article should be clearly indicated.

    • The consent of the Journal is required, and such consent will be granted when a written commitment from another Publisher confirming compliance with the above three conditions is provided.