Kebijakan Repository

Mathematical and Data Analytics Repository Policy

Mathematical and Data Analytics recognizes the importance of long-term preservation, accessibility, and responsible sharing of scholarly publications. The journal is committed to ensuring that published articles remain accessible, identifiable, and preserved through reliable digital repositories and archiving systems.

This repository policy aims to support research transparency, academic dissemination, long-term availability of published content, and compliance with international standards for scholarly communication.

  1. Digital Preservation and Archiving

Mathematical and Data Analytics ensures the long-term preservation of published articles through reliable digital preservation mechanisms.

All published articles, including:

  • full-text articles;
  • metadata records;
  • abstracts;
  • supplementary materials (when available); and
  • associated research information,

are maintained through secure digital platforms to ensure continued accessibility.

The journal may participate in recognized digital preservation and archiving services to protect published content against data loss, technological changes, or discontinuation of publishing platforms.

  1. Repository Deposit Policy

Mathematical and Data Analytics supports the deposit and preservation of published articles in trusted academic repositories.

Authors are permitted to deposit the published version of their articles in:

  • institutional repositories;
  • national repositories;
  • subject-based repositories;
  • governmental or academic archives; and
  • other recognized open-access repositories.

Deposited manuscripts must maintain accurate citation information, including:

  • article title;
  • author names;
  • journal name;
  • publication year;
  • volume and issue information;
  • page numbers or article identifier;
  • Digital Object Identifier (DOI); and
  • link to the official journal publication page.
  1. Author Self-Archiving Policy

Authors may archive their manuscripts according to the following conditions:

Before Publication

Authors may share pre-submission manuscripts or working versions through personal websites, institutional repositories, or academic collaboration platforms, provided that such sharing does not interfere with the journal submission process.

After Acceptance

Authors may deposit the accepted manuscript version in institutional or subject repositories with proper acknowledgment of the journal publication.

Published Version

The final published version (Version of Record) may be shared through approved repositories according to the journal’s open-access and copyright policies.

Any deposited version must include a statement directing readers to the official version published by:

Mathematical and Data Analytics

  1. Open Access and Repository Availability

Mathematical and Data Analytics supports open access principles by providing public access to published research articles.

Readers may access published articles through the official journal platform and approved repository services.

The journal encourages researchers, institutions, and academic communities to preserve and disseminate published research while maintaining appropriate attribution and citation practices.

  1. Data Repository Policy

Authors are encouraged to share research datasets, analytical materials, computational resources, and supporting information whenever ethically and legally possible.

When research data are deposited in external repositories, authors should provide:

  • repository name;
  • dataset identifier or DOI;
  • accessibility information;
  • data availability statement; and
  • relevant licensing information.

Authors remain responsible for ensuring that shared data comply with:

  • ethical approval requirements;
  • participant confidentiality;
  • intellectual property regulations;
  • institutional policies; and
  • applicable legal requirements.
  1. Repository Restrictions

Authors and third parties must not deposit or distribute content in ways that:

  • violate copyright agreements;
  • remove author attribution;
  • misrepresent the published version;
  • modify published results without disclosure;
  • compromise participant confidentiality; or
  • conflict with publication ethics principles.

Any unauthorized modification or misuse of published content may be subject to editorial review and appropriate action.

  1. Metadata Accessibility

Mathematical and Data Analytics ensures that article metadata remain available to support:

  • indexing services;
  • citation tracking;
  • scholarly discovery;
  • research evaluation; and
  • interoperability with academic databases.

Metadata may include:

  • article title;
  • author information;
  • affiliations;
  • abstract;
  • keywords;
  • references;
  • publication dates;
  • DOI information; and
  • licensing details.
  1. Long-Term Accessibility and Journal Continuity

In the event of changes to the journal platform, publishing system, or website infrastructure, Mathematical and Data Analytics will make reasonable efforts to ensure that previously published articles remain accessible.

The journal is committed to maintaining the integrity, authenticity, and availability of the scholarly record.

  1. Policy References

This repository policy is informed by international principles and best practices in scholarly communication, including:

Mathematical and Data Analytics may revise this Repository Policy periodically to align with developments in digital preservation, open science practices, and international publishing standards.