Author Guidelines

Authors should submit original and carefully prepared work aligned with ZAHRA’s scholarly focus on big data, data science, and artificial intelligence. Manuscripts must communicate a specific research question, explain their methods, present verifiable findings, acknowledge relevant prior work, and disclose material limitations. Submission is managed through the journal’s OJS platform.

1. Suitability, originality and manuscript language

• The manuscript must be original and not simultaneously under review elsewhere. Related earlier publications, preprints, theses, or conference versions must be disclosed and cited where relevant.
• The currently published website guidance permits submissions in Indonesian or English. Authors must ensure that titles, abstracts and metadata meet the journal’s accepted-language requirements; an updated English-only requirement must not be assumed without an adopted policy change.
• The work must match the Aims and Scope and provide a genuine methodological, empirical, theoretical, or critical-review contribution.
• All coauthors should approve authorship order, institutional affiliation, content, and the final version submitted. Identify the corresponding author accurately.

2. Currently published OJS formatting requirements

The public Author Guidelines currently specify the requirements below. They remain the website-based instructions until the editorial office formally adopts and publishes a harmonised replacement.

3. Additional specifications found in the supplied Word Article Template V2

The provided ZAHRA Word V2 template is also an important design reference. It contains different prescriptions from the current website text, which must be reconciled by the editorial office rather than combined into a contradictory mandatory checklist.

4. Scientific manuscript structure

1. Title and author block: Communicate the central contribution concisely. Provide accurate author names, numbered affiliations and corresponding-author contact details.
2. Abstract: Summarise motivation, the research objective, methods, quantitative or qualitative findings, and the principal conclusion, without citations, tables or figures.
3. Introduction: Establish context, related studies, the unresolved research gap, objectives and clearly differentiated contribution.
4. Method: Explain datasets and provenance, preparation, design, baseline methods, proposed approach, experimental environment, parameter settings and evaluation protocol.
5. Results and Discussion: Report outcomes objectively, compare relevant methods, analyse errors and limitations, and distinguish observed effects from inferences.
6. Conclusion: Answer the research objective, state the evidence-supported contribution and acknowledge meaningful limitations and future directions.
7. References and disclosures: Provide complete citations, appropriate data/code/funding and ethical disclosures, and optional acknowledgments where justified.

5. Figures, tables, equations and reproducibility

• Refer explicitly to each table and figure in the main narrative, describe what it demonstrates, and interpret its scientific relevance. Captions for figures appear below; captions for tables appear above.
• Supply clear original charts or permitted third-party illustrations. Label axes, units, legends and experiment conditions so the figure is interpretable.
• Use an equation editor for mathematical expressions, number equations sequentially, and define all symbols.
• Report dataset origin, partitions, validation approach, metric definitions, implementation settings and limitations sufficiently for other researchers to evaluate the work.
• Do not treat a matching similarity score as evidence of novelty; the manuscript must establish an original scientific contribution and provide attribution for reused materials.

6. References and scholarly integrity

Number citations in order of appearance using square brackets, for example [1] and [2]. Cite peer-reviewed and verifiable scholarly literature relevant to each claim. The website excludes Wikipedia, personal blogs and similar non-scholarly sources as substitutes for research evidence, and asks authors to prioritise recent primary work. Avoid inventing citations, DOIs or experimental results.

7. Submission checklist

• The manuscript is complete, correctly formatted, anonymised when the double-blind workflow requires it, and within the effective submission rules.
• Each author has approved the submission and all declared affiliations, contact details and contributions are accurate.
• All citations are traceable and every table, figure, equation and supplementary file is discussed in the text.
• Permissions, ethical approvals (where applicable), funding, conflicts of interest and related manuscripts have been disclosed.
• Text similarity and originality have been reviewed, with sources correctly acknowledged.
• Files are submitted via Online Submissions; the journal’s existing guidance states that online registration is free.

8. Manuscript templates and assistance

Use the ZAHRA Word or LaTeX template supplied through the journal’s Author Resources menu. When using LaTeX, retain editable source, bibliography and graphics within the project archive. Contact zahra.pdsi@gmail.com if the effective formatting rules or revision instructions require clarification.

Copyright and Licensing

The operative ZAHRA OJS Copyright Notice states that authors retain copyright and grant the journal the right of first publication under Creative Commons Attribution 4.0 International (CC BY 4.0).

Current OJS copyright notice

The live submission page states that authors retain copyright, grant the journal the right of first publication, and license the published work under CC BY 4.0. This framework permits sharing and adaptation, including commercial reuse, when license conditions are satisfied.

Attribution requirements

• Give appropriate credit to the original authors and identify ZAHRA as the initial journal of publication.
• Provide a link to the license where appropriate and indicate material changes.
• Retain relevant notices and do not suggest endorsement by the original authors or publisher.

Author dissemination

The current OJS notice allows authors to enter into separate non-exclusive arrangements for dissemination of the journal’s published version, including repositories and later incorporation into books, provided that initial publication in ZAHRA is acknowledged. The notice also encourages authors to post their work online before and during the submission process.

Third-party content

A Creative Commons license on an article does not automatically place third-party photographs, figures, software, or datasets under the same license. Reuse of such material may require separate permission. Authors should identify excluded materials and provide attribution and permission documentation when needed.

Privacy Statement

ZAHRA: Bulletin Big Data, Data Science, and Artificial Intelligence, published by Asosiasi Peneliti Data Science Indonesia (PDSI), recognises that personal information provided to its editorial platform must be handled responsibly. This statement explains the purposes for which the journal may use personal information during registration, submission, review, publication, and correspondence.

1. Information associated with journal activities

• Registration and profile data: name, email address, institutional affiliation, country, account or role information, and other details voluntarily provided in an OJS profile.
• Submission data: author information, manuscript files, metadata, correspondence, contribution and funding statements, supplementary material, and publication-related records.
• Editorial and peer-review data: reviewer invitations, evaluation reports, decisions, revisions, and communications held in the journal workflow.
• Technical information: data required for the operation, security, and troubleshooting of the journal website; third-party widgets or analytics, if used, may process information under their own terms.

2. Purposes of use

• Operate journal accounts, authenticate users, support submissions, and communicate editorial decisions.
• Assign manuscripts for editorial assessment and peer review according to the journal’s applicable review model.
• Prepare and publish accepted articles, including author names, affiliations, correspondence details, abstracts, references, and associated scholarly metadata.
• Maintain an accurate record of peer review, editorial decisions, corrections, and publication history for academic accountability.
• Respond to support requests, investigate publishing-ethics concerns, and maintain website integrity.

3. Access to information and confidentiality

Access to non-public editorial records should be restricted to persons who need the information for a legitimate journal function, such as the relevant editors, assigned reviewers, production staff, and technical administrators. Reviewers should receive only information required for assessment; author and reviewer identities must be handled in line with the journal’s double-blind review arrangements. Published article metadata, by contrast, is intentionally accessible to readers and indexing or discovery services.

4. Third-party services and external links

The ZAHRA website may link to services outside the OJS platform, including author resources, visitor-statistics widgets, persistent-identifier services, and scholarly discovery platforms. When users follow those links or load embedded third-party resources, the relevant provider may process information according to its own privacy practices. The journal should review external integrations before they are activated.

5. Retention and integrity of the scholarly record

Account data and unpublished submission information should not be retained longer than necessary for the relevant editorial, operational, or legally justified purpose. Editorial and publication records may need to be retained to support auditability, the scholarly record, disputes, and corrections. Data requested for deletion may therefore be subject to legitimate recordkeeping constraints. This statement does not claim a fixed retention period or technical deletion capability not confirmed by the platform administrator.

6. Information quality and user requests

Users should keep their profiles accurate and may request correction of inaccurate personal details, clarification of data use, or review of an account-related privacy concern. Requests affecting published author metadata or the integrity of an article will be evaluated in light of the permanent scholarly record and the journal’s correction procedures. Account deletion or anonymisation cannot be guaranteed where information must be preserved for documented editorial or legal reasons.

7. Appropriate safeguards

• Use journal information only for legitimate editorial and publishing purposes.
• Avoid distributing reviewer reports or author contact details outside authorised workflows.
• Minimise unnecessary personal information in submitted files and public disclosures.
• Report suspected unauthorised access or accidental disclosure promptly to the editorial office.
• Review security, backups, user roles, site plugins, and any third-party analytics under the journal’s operational procedures.

8. Privacy questions and amendments

For privacy-related enquiries or requests, contact the ZAHRA editorial office at zahra.pdsi@gmail.com. Material revisions to this statement should be published transparently on the journal website.

An open-access scholarly journal focusing on big data, data science and artificial intelligence. Published by Asosiasi Peneliti Data Science Indonesia (PDSI).