Why Researchers Choose Data & Information Management for High-Impact Publications
Data & Information Management serves as a vital resource for scholars in library services, data management, and information systems. Established to bridge theoretical advancements with practical applications, the journal emphasizes interdisciplinary approaches to handling vast datasets, ensuring ethical information practices, and leveraging technology for knowledge dissemination. Researchers value its commitment to open access principles, allowing wide visibility for published works. With a focus on emerging challenges like big data ethics and AI-driven information retrieval, Data & Information Management attracts contributions from global experts. The journal's editorial process prioritizes originality and relevance, fostering discussions that influence policy and industry standards. Its partnership with KeAi Publishing ensures high production quality and rapid dissemination. For those in library services, data science, or information management, publishing here enhances academic profiles and citation potential. The journal's scope extends to innovative methodologies in data curation, user-centered information systems, and sustainable data infrastructures. Contributors benefit from detailed feedback that refines their research for broader impact. As digital transformation accelerates, Data & Information Management remains at the forefront, documenting breakthroughs in data literacy and information governance. Explore opportunities to publish in Data & Information Management and connect your work with leading minds. To advance your career, check out higher education jobs in data-related fields.
Overview & History
Data & Information Management was launched in 2017 by KeAi Publishing, a collaborative venture between Elsevier and China Science Publishing & Media Ltd. The journal emerged in response to the growing need for a dedicated outlet addressing the intersection of data science and information management amid China's rapid digital economy expansion. From its inception, it has aimed to promote high-quality research that tackles real-world issues in data handling and information accessibility. Over the years, Data & Information Management has evolved to include special issues on topics like data privacy regulations and AI in libraries, reflecting global trends. Its headquarters in China underscore a focus on Asia-Pacific perspectives while welcoming international submissions. The journal's growth is evident in its increasing submission volume and citation metrics, establishing it as a key player in the field. Researchers appreciate its timely publication schedule and supportive author guidelines.
Scope and Disciplines Covered
The journal covers a broad spectrum of topics in data and information management, emphasizing practical and theoretical insights. Key areas include data governance, information retrieval systems, and library informatics.
| Discipline | Description |
|---|---|
| Data Science | Analytics, machine learning applications in data processing. |
| Information Management | Systems for organizing and retrieving information resources. |
| Library Services | Digital libraries, user experience in information access. |
| Big Data | Handling large-scale datasets, ethical considerations. |
| Knowledge Management | Strategies for capturing and sharing organizational knowledge. |
These disciplines ensure comprehensive coverage, appealing to diverse researchers.
Key Journal Metrics
Data & Information Management demonstrates strong performance through established metrics, reflecting its academic rigor.
| Metric | Value | Year |
|---|---|---|
| Impact Factor | 4.4 | 2022 |
| CiteScore | 7.5 | 2022 |
| h-Index | 15 | 2023 |
| Acceptance Rate | Not publicly disclosed | - |
| Average Review Time | 3-4 months | 2023 |
These figures highlight the journal's influence and selectivity.
Indexing and Abstracting
Data & Information Management is indexed in major databases, enhancing discoverability. It appears in Scopus, Web of Science (Emerging Sources Citation Index), DOAJ, and Google Scholar. These listings ensure global accessibility and credibility for published articles. Researchers can access abstracts via Scopus or the official journal homepage at KeAi Publishing. Such indexing supports higher citation rates and interdisciplinary reach.
Publication Model and Fees
The journal operates on a hybrid model, offering both subscription and open access options. For open access, authors pay an Article Processing Charge (APC) of approximately USD 2,000, covering peer review and production costs. Subscription access is available through institutional licenses. KeAi Publishing provides waivers for authors from low-income countries. This model balances accessibility with sustainability, allowing Data & Information Management to maintain high standards while promoting open science.
Submission Process and Guidelines
Submissions to Data & Information Management are handled via the online portal on the journal's website. Authors must prepare manuscripts according to the provided guidelines, including abstract, keywords, and references in APA style. The process involves initial screening, peer review by at least two experts, and revisions. Ethical standards require originality checks via plagiarism detection tools. For detailed steps, visit the official submission page. This streamlined approach ensures efficient handling.
Editorial Board Highlights
The editorial board of Data & Information Management comprises distinguished scholars from leading institutions. The Editor-in-Chief is Professor [Name], affiliated with a top Chinese university, specializing in data governance. Other members include experts in information systems from Europe and the US, ensuring diverse perspectives. Their expertise covers big data analytics and library innovation, guiding the journal's direction. Board members actively contribute to special issues and author support.
Why Publish in Data & Information Management?
Publishing in Data & Information Management offers researchers enhanced visibility and networking opportunities. With its solid impact factor and open access options, articles reach a wide audience quickly. The journal's focus on practical implications appeals to both academia and industry. Authors gain from rigorous yet constructive reviews that elevate work quality. Additionally, affiliation with KeAi boosts credibility in the global scholarly community. For career advancement, consider exploring Rate My Professor for insights from peers.
Comparison with Similar Journals
Data & Information Management compares favorably with peers in scope and metrics.
| Journal | Impact Factor | Focus | Publisher |
|---|---|---|---|
| Data & Information Management | 4.4 | Data governance, info systems | KeAi |
| Journal of Data and Information Quality | 2.1 | Data quality metrics | ACM |
| Information & Management | 7.8 | IS management | Elsevier |
| International Journal of Information Management | 18.7 | Strategic info mgmt | Elsevier |
This positions Data & Information Management as a competitive choice for targeted submissions.
Researcher Tips for Successful Submission
- Align your work closely with the journal's scope in data and information management.
- Ensure clear methodology and real-world applications in your manuscript.
- Follow formatting guidelines meticulously to avoid delays.
- Highlight interdisciplinary aspects to appeal to the board.
- Prepare for revisions by anticipating reviewer questions on ethics and innovation.
These tips can improve acceptance chances. Stay updated with academic calendars for deadlines. Other relevant resources include data science jobs, library science jobs, information systems careers, PhD programs in data management, conferences on information management, tenure-track positions, postdoc opportunities in data, scholarships in library science, publishing tips for academia, peer review process guide, open access resources, and career advice for researchers.