Data Care
Data Care
At Global Journals®, we believe that data is more than a resource, it is deeply connected to people’s trust, dignity, and rights. Our Data Care policy describes how we ethically manage, protect, and use data across our publishing operations, with respect to authors, reviewers, institutions, readers, and other stakeholders.
What Data Care Means
“Data care” refers to treating personal, institutional, and research data with fairness, transparency, and ethical responsibility. It reflects the belief that those who own or provide data deserve respectful, secure, and accountable handling of their information.
Data care is a guiding commitment: not only to follow laws and standards, but to act thoughtfully and proactively in how we collect, store, share, use, and eventually retire data
Realizing Data's Potential
When researchers share their data thoughtfully and responsibly, it strengthens the influence, reliability, reproducibility, efficiency, and openness of their work. By nurturing a culture of principled data sharing, we help spark deeper collaboration and innovation across the research community.
Your Data Can Shape Tomorrow
At Global Journals®, we believe that responsibly shared data fuels progress. When researchers make their data available in ethical and transparent ways, it enables others to validate findings, uncover new patterns, and accelerate discovery. Thoughtful data sharing strengthens research integrity, enhances visibility, and increases citation potential, ensuring that researchers gain meaningful recognition for their contributions. We are committed to creating accessible, reliable systems that make data sharing simpler and more impactful, amplifying the reach and influence of every study we publish.
Building a Framework for Greater Research Data Impact
Effective data management is the backbone of credible and reproducible science. It not only improves the accuracy and reliability of research outcomes but also increases funding opportunities and institutional trust. Global Journals® works in collaboration with libraries, research offices, and academic institutions to support responsible data stewardship throughout the entire research lifecycle. Our mission is to empower the global research community, enabling open science, encouraging data reuse, and strengthening the collective impact of scholarly work.
Core Principles of Our Data Care Policy
To make ethical governance actionable, we employ the following oversight tools and processes
Respect & Human-Centeredity
We prioritize human dignity and consent. Data subjects (authors, reviewers, participants) should be aware of how their data is used. We avoid treating data as abstract supply chains divorced from the people it represents.
Transparency & Informed Consent
We clearly disclose to data providers (submitters, collaborators) what data is collected, how it is used, with whom it is shared, and for how long. Consent is sought where required, and consent withdrawals are respected where possible (within practical constraints).
Data Minimization & Purpose Limitation
We collect only data necessary for journal operations, peer review, metadata, archiving, analytics, and reporting. We avoid gathering excessive or irrelevant personal data. We commit not to use data for secondary purposes without disclosure and additional consent.
Security, Privacy & Access Control
We deploy strong security measures: encryption, secure access controls, network protections, and regular audits. We classify sensitive data (e.g. personal identifiers, contact, financial) and ensure only authorized roles have access. We maintain logs of data access and modifications to ensure auditability.
Quality, Integrity & Accountability
We strive to keep data accurate, consistent, up-to-date, and complete. Data errors or inconsistencies are corrected promptly. We assign responsibility (data stewards or custodians) to ensure oversight over data lifecycle.
Retention, Archiving & Disposal
Data is not kept indefinitely. We define and enforce retention schedules. After retention periods, data is anonymized or securely deleted, unless legal, ethical, or archival requirements demand otherwise. We document disposal and archiving procedures.
Ethical Use & Reuse
Reuse of data for new analyses or secondary studies is permitted only within the bounds of original consent, licensing, or new approval. AI or analytics tools applied to data must be used responsibly, with human oversight, and full disclosure of methods and limitations.
Governance, Oversight & Continuous Improvement
We embed data governance frameworks and assign roles (e.g. data stewards) to oversee compliance and policy enforcement. Our policies evolve with technology, regulation, and community feedback. We publish reports or summaries about our data practices, so our stakeholders see how we act.
How We Practice Data Care
- We anonymize or pseudonymize data when appropriate (especially in analytics or review metrics)
- Access to identifying data (names, emails) is limited to staff with legitimate operational need
- Third-party vendors or platforms we work with must meet our data security and privacy standards
- As part of submissions and peer review workflows, we offer authors control over metadata disclosure
- We maintain mechanisms for data subject rights, such as correction requests or privacy opt-outs
- We align our practices with standards such as FAIR (Findable, Accessible, Interoperable, Reusable) for research data, and with relevant privacy/regulation frameworks (e.g. GDPR, local laws)
Benefits & Ethical Impacts
- Builds and preserves trust, our authors, reviewers, and institutions can feel confident their data is respected
- Reduces risk, in data leaks, misuse, or unethical analytics
- Promotes data reuse in ethically governed ways that safeguard individuals
- Aligns with broader ideals of corporate digital responsibility, bridging traditional CSR practices with responsible digital behavior