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.
Unlocking Research Data for Global Innovation and Insight
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.
What Is a Data Bank?
After your manuscript is reviewed, you will receive:
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.
Why Our Data Bank Matters
- 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.
What You’ll Find in the Data Bank
- 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.
How to Use or Submit a Dataset
For Researchers & Users:
- 1. Visit the Data Bank portal and use the search/filter to find datasets relevant to your work.
- 2. Review metadata and access terms. If access is restricted, submit the request form with justification.
- 3. Download or connect via API, and cite the dataset following the provided citation template.
For Authors & Dataset Submitters:
- 1. Ensure your dataset is documented (variables list, methodology, sample/setting, ethics/consent if applicable).
- 2. Prepare a licence or access-terms statement (open, restricted, embargoed).
- 3. Submit your dataset through our upload interface; our team will review for completeness, privacy/ethics compliance and metadata quality.
- 4. Once approved, the dataset receives a DOI or unique identifier and appears in the Data Bank.
- 5. Promote your dataset along with your article - this can enhance visibility, citations and collaborative opportunities.
Best Practices & Governance
- 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.
Why Global Journals® Supports a Data Bank
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.
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.
When should I deposit a dataset?
It is best to deposit your dataset at or after the time your related article is accepted for publication, so you can link the dataset with the article, include its DOI in your paper and maximise visibility.
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.
How should I cite a dataset someone else deposited here?
Cite the dataset just like you would a traditional publication: include creator(s), year, title, version, publisher (Data Bank), and DOI. This aligns with best practices for data citation.
Can I update or version my dataset after publication?
Yes - if you need to correct, extend or update your dataset, you may submit a new version or update metadata. Versioning must be clearly documented so users understand which version they are using.
What happens if my dataset contains sensitive or identifiable data (e.g., human subjects)?
If your dataset includes sensitive or private information, you must ensure proper anonymisation, de-identification, consent for reuse and appropriate access controls or restrictions. Embargo or restricted access may be required.
Who maintains or curates the dataset once it’s deposited?
Once approved and published, the dataset is managed by the Data Bank’s infrastructure which ensures persistent access, backup, metadata maintenance and long-term preservation in accordance with best-practice standards.
How do other researchers find and reuse the datasets?
Datasets are discoverable via the Data Bank’s search/filter portal (by discipline, region, type, keywords). Each dataset has metadata and a landing page with usage instructions. Researchers must observe licensing and attribution when reusing.
Can I track usage of my dataset (downloads, citations)?
Yes, metrics such as download counts, citations, reuse links and version history may be displayed on your dataset’s landing page so you can monitor its impact over time.
Why deposit datasets in the Data Bank? What are the benefits for authors and the research community?
- Enhances transparency, reproducibility and credibility of your published work.
- Boosts visibility and reuse of your data, potentially leading to citations, collaborations and new insights.
- Supports global access: researchers across multiple countries can build on your data and extend its value.
- Fulfils data-sharing policies of funders, journals and institutions that mandate data availability.
