Data Bank

At Global Journals®, we recognise that the future of research is data-driven. Our Data Bank page serves as a central hub for storing, sharing and leveraging research-ready datasets – enabling authors, institutions and practitioners across 130+ countries to build, collaborate and innovate.

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A “data bank” (or databank) is essentially a repository of structured and/or unstructured data that is collected, organised, stored and made accessible for reuse. In the context of scholarly and applied research, a data bank provides the infrastructure to:

  • deposit research datasets for future analysis;
  • allow secondary reuse of data (subject to access & ethics);
  • facilitate meta-analysis, cross-disciplinary work, replication and innovation.

Under global research-data governance frameworks, data banks may include metadata about datasets, clear access terms, licensing, and ensure responsible reuse.

  • Amplifies research value - Published articles become more impactful when underlying data are shared and reused; a dataset in our Data Bank enhances transparency, reproducibility and reach.
  • Fuels cross-discipline & global collaboration - Researchers in different geographies and domains can access common datasets, compare, contrast, extend and build on work together.
  • Supports applied and technology-driven outcomes - For engineering, technology, social science and applied fields, the availability of quality data is a prerequisite for modelling, simulation, AI, policy-design or commercialisation.
  • Aligns with global research ethics & open-data principles - By providing a structured data-sharing infrastructure, we support the mandates of many funding agencies, institutions and the research community enhancing credibility and trust.
  • Dataset Portal - Browse datasets by discipline (science, technology, medicine, social sciences), region, type (quantitative, qualitative, mixed), access level (open vs restricted).
  • Metadata & Documentation - Each dataset is accompanied by detailed metadata: its origin, methodology, sample size, variables, access terms, citation instructions, and update frequency.
  • Download & API Access - Where permitted, authors and researchers can download the full dataset in standard formats (CSV, JSON, etc.) or access via API for automated workflows.
  • Submission Tools - Authors who publish with Global Journals® (or affiliated researchers) can upload their data-sets through a clear submission workflow.
  • Reuse Tracker & Attribution Tools - Monitor how your dataset is being reused, cited, and built upon; receive attribution and credit for dataset sharing.

For Researchers & Users:

  • Visit the Data Bank portal and use the search/filter to find datasets relevant to your work.
  • Review metadata and access terms. If access is restricted, submit the request form with justification.
  • Download or connect via API, and cite the dataset following the provided citation template.

For Authors & Dataset Submitters:

  • Ensure your dataset is documented (variables list, methodology, sample/setting, ethics/consent if applicable).
  • Prepare a licence or access-terms statement (open, restricted, embargoed).
  • Submit your dataset through our upload interface; our team will review for completeness, privacy/ethics compliance and metadata quality.
  • Once approved, the dataset receives a DOI or unique identifier and appears in the Data Bank.
  • Promote your dataset along with your article - this can enhance visibility, citations and collaborative opportunities.
  • Metadata is critical - Good documentation ensures your dataset is discoverable and usable by others.
  • Privacy & Ethics Matter - If the dataset involves human subjects or identifiable data, ensure ethical approval, anonymisation, and consent cover wider reuse.
  • Quality Control - Submit only datasets that meet high standards for cleanliness, consistency and reproducibility.
  • Licensing & Attribution - Choose clear terms (e.g., CC-BY, CC-0) so others know how they can use your data; provide citation guidelines.
  • Versioning & Maintenance - If you update the dataset, manage versions and archive older versions for traceability.
  • At a time when data is a foundational asset for research, our Data Bank helps fulfil our publishing mission: to empower researchers across more than 130 countries, support high-quality work, and promote collaborations that drive discovery and innovation.We merge rigorous peer-review standards (through our alignment with Open Association of Research Societies (OARS) and Committee on Publication Ethics (COPE)) with modern infrastructure for data sharing and reuse.

QUESTIONS?

FAQs

What types of datasets can be submitted to the Data Bank?

 You may submit cleaned, documented datasets that support a published article, research project or review. Datasets may be quantitative, qualitative or mixed-methods, provided that they are sufficiently described to enable reuse.

What metadata/documentation is required for a dataset submission?

 Your submission should include metadata fields such as dataset title, creator(s), affiliation(s), publication year, description of data, variables list, methodology/context, access licence, funding source, related publications, version number, and any usage notes. Good documentation improves findability and reuse.

What file formats are preferred

 Prefer open, non-proprietary formats (e.g., CSV, TXT, JSON) where possible to enhance long-term reuse. If proprietary formats are unavoidable, provide documentation of the format and ensure the dataset is understandable.

What about licensing and access terms?

 You should specify the licence under which others may use the dataset (e.g., CC BY, CC0, restricted use). Clear licensing reduces legal uncertainty for downstream users.

Can I place an embargo or delay public access to the dataset?
Yes, you may indicate an embargo period (e.g., until article publication or for a defined period) before full public access is granted. You should also ensure metadata is visible even during embargoes.
How do I obtain a persistent identifier (DOI) for my dataset?
A dataset submitted and approved by the Data Bank will receive a unique persistent identifier (such as a DOI) which you can cite in your article and which supports long-term findability.