Data Sharing Policy

The  Journal of Integrated Innovation Science recognizes the importance of data transparency and accessibility in advancing scientific knowledge and fostering trust in research. The journal is committed to promoting a culture of open science by encouraging authors to share the data that supports their research findings. This policy is designed to enhance reproducibility, enable verification of results, and facilitate further research in the field.

Policy Overview

The  Journal of Integrated Innovation Science encourages authors to:

  • Share all data, materials, and methods necessary to replicate the results presented in their manuscripts.
  • Deposit data in recognized and trusted repositories that ensure long-term accessibility.
  • Provide clear documentation and metadata to enable other researchers to understand and use the data effectively.

While data sharing is encouraged, the journal recognizes that certain restrictions may apply, such as confidentiality agreements, legal constraints, or ethical considerations involving sensitive data.

Types of Data to Share

Authors are encouraged to share the following types of data where applicable:

  1. Raw Data: Original, unprocessed data collected during the research.
  2. Processed Data: Data that has been analyzed or transformed to support the conclusions of the study.
  3. Supplementary Materials: Additional datasets, figures, tables, or methods that enhance the understanding of the study.
  4. Code and Software: Scripts, algorithms, or software used for data analysis and visualization.
  5. Protocols and Methods: Detailed descriptions of experimental or computational procedures.

Data Availability Statement

Authors must include a Data Availability Statement in their manuscript, specifying:

  • Whether the data is publicly available, restricted, or not shared.
  • The repository where the data is deposited, along with a persistent identifier (e.g., DOI, accession number).
  • Any conditions for accessing the data, if applicable.

Example Data Availability Statements:

  • "The data supporting the findings of this study are available in [Repository Name] at [DOI/link]."
  • "Data sharing is not applicable to this article as no datasets were generated or analyzed during the study."
  • "The data supporting the findings of this study are available upon reasonable request from the corresponding author."

Recognized Data Repositories

Authors are encouraged to use recognized repositories appropriate for their discipline, such as:

  • General Repositories: Figshare, Zenodo, Dryad.
  • Domain-Specific Repositories: Gene Expression Omnibus (GEO), Protein Data Bank (PDB), or others relevant to the study.
    Repositories must provide a DOI or persistent identifier to ensure data traceability.

Confidentiality and Ethical Considerations

The journal understands that some data may not be shareable due to:

  • Confidentiality Agreements: Data protected by non-disclosure agreements or proprietary rights.
  • Legal Restrictions: Data restricted by law, regulations, or institutional policies.
  • Ethical Constraints: Sensitive data involving human subjects, which may compromise privacy or consent agreements.

In such cases, authors must provide a clear explanation of these restrictions in their Data Availability Statement.

Benefits of Data Sharing

The journal encourages data sharing to:

  • Enhance transparency and reproducibility of research findings.
  • Enable verification of results and facilitate future meta-analyses.
  • Promote collaboration and innovation by allowing other researchers to build upon shared datasets.
  • Increase the visibility and citation of the research.

Compliance and Review

The editorial team may review the data sharing practices of submitted manuscripts to ensure compliance with this policy. Failure to adhere to the journal’s data sharing guidelines may result in delays in the review process or rejection of the manuscript.

Support and Guidance

The  Journal of Integrated Innovation Science is committed to supporting authors in adopting open data practices. Authors are encouraged to contact the editorial office for assistance in selecting appropriate repositories or preparing data for sharing.

By promoting a robust data sharing policy, the  Journal of Integrated Innovation Science aims to contribute to the advancement of science and innovation, fostering a collaborative and transparent research community.