Data Sharing and Accessibility Policy

Data Sharing & Accessibility Policy

Data : Journal of Information Systems and Management supports responsible data sharing, research transparency, reproducibility, and FAIR data practices.

The journal encourages authors to make research data, datasets, code, documentation, system outputs, analytical materials, and other supporting research objects available whenever ethically, legally, technically, and practically possible. Data sharing must respect participant privacy, organizational confidentiality, intellectual property, cybersecurity considerations, contractual obligations, commercial sensitivity, and applicable laws.

1. Data Availability Statement

All research manuscripts must include a Data Availability Statement indicating whether supporting data and related research materials are available, where they can be accessed, and any applicable conditions or restrictions.

2. Data Repositories & Documentation

Where data can be shared, authors are encouraged to deposit datasets, source code, analytical scripts, system documentation, configuration information, supplementary files, and related research materials in a recognized disciplinary, general-purpose, or institutional repository that provides stable access and, preferably, a persistent identifier such as a DOI.

Appropriate repositories may include Zenodo, Figshare, Harvard Dataverse, Dryad, Open Science Framework (OSF), GitHub linked to an archival repository, or a recognized institutional or disciplinary repository suitable for information-systems and management research.

Research materials should be provided in appropriate, reusable, and preferably open or machine-readable formats, accompanied by sufficient metadata, variable descriptions, data dictionaries, codebooks, software-version information, documentation, and methodological details to support interpretation, verification, and responsible reuse.

3. Ethical, Legal & Confidential Data

Data sharing must not compromise ethical obligations, participant confidentiality, personal or employee information, organizational privacy, commercially sensitive information, cybersecurity, intellectual property, proprietary systems, database rights, or third-party agreements.

4. Data Citation & FAIR Principles

Shared datasets, software, source code, repositories, and other research objects should be cited appropriately in the manuscript and reference list. Where available, authors should provide the resource's creator(s), title, repository, year, version, and DOI or other persistent identifier.

FAIR does not necessarily mean that all data must be completely open. Where access is restricted, authors should provide clear metadata and explain the legitimate conditions under which access may be obtained.

5. Editorial Oversight

The Editorial Team may request access to supporting or underlying data, analytical files, source code, system outputs, research instruments, or documentation when necessary to verify reported results, investigate research-integrity concerns, assess reproducibility, or evaluate compliance with this policy.

Inaccurate or misleading data availability statements, unjustified refusal to provide supporting materials for legitimate editorial verification, inaccessible repositories without explanation, or serious inconsistencies between the published article and underlying data may result in further editorial review and appropriate action under the journal's publication-ethics and post-publication policies.

This policy is informed by the COPE Core Practice on Data and Reproducibility, the COPE–DOAJ–OASPA–WAME Principles of Transparency and Best Practice in Scholarly Publishing, the FAIR Guiding Principles, and established international practices for research-data management, information-systems research, reproducibility, and responsible data sharing.