To achieve full OpenAIRE compliance, OJS journals must accurately classify their content using the COAR Resource Type system.

What Is the COAR Resource Type Classification System?

In the world of open-access publishing, content is only as visible as the metadata behind it.
The COAR Resource Type Classification System — developed by the Confederation of Open Access Repositories (COAR) — provides a unified way to describe what kind of resource a publication really is.

Whether it’s a research article, dataset, software package, or interactive web resource, this classification ensures that repositories, harvesters, and indexing systems like OpenAIRE, Crossref, or ORCID can accurately recognize and categorize your content.

It’s not just a list of labels — it’s the universal vocabulary of academic content.

Why It Matters

• ✅ OpenAIRE Compliance: Ensures your OJS journal metadata meets European Open Science standards.
• 🌐 Global Discoverability: Makes your publications compatible with international repositories and aggregators.
• ⚙️ Consistent Metadata: Standardizes resource descriptions across OJS, DSpace, Zenodo, and other open repositories.
• 📊 Interoperability: Enables seamless exchange of records via OAI-PMH and other metadata protocols.

How It Works in OJS

The OpenAIRE plugin for OJS integrates COAR Resource Types directly into your journal’s metadata.
When activated, the plugin automatically maps each article type to a corresponding COAR category — ensuring that your repository exports valid and compliant records through the OAI-PMH interface.

This not only saves editorial time but also guarantees that your journal meets the OpenAIRE Guidelines for Literature Repository Managers (v4.0).

COAR Resource Type Categories

Below is a practical overview of the main COAR categories and what kind of materials they typically represent in research publishing.

🎨 Artistic Work

Creative outputs such as performances, exhibitions, digital art, and visual installations — often published by arts faculties or cultural repositories.

🗺️ Cartographic Material

Spatial and geographic representations.

• Map: Topographic or thematic maps used in earth sciences, geography, and urban studies.

📦 Collection

Curated groups of related content, often organized by project, author, or topic.

• Archival Collection: Historical records, correspondence, or digitized archives.
• Court Documents: Legal records or case files.

📊 Dataset

Structured data from research activities — essential for reproducibility and open science.
Examples include:

• Experimental Data: Lab results, measurements, or sensor data.
• Survey Data: Results from questionnaires or social research.
• Genomic Data: DNA sequencing and bioinformatics data.
• Simulation Data: Model outputs and computational analyses.
• Laboratory Notebook: Raw experimental notes and logs.

💡 Design

Creative and technical design outputs.

• Industrial Design: Product or engineering prototypes.
• Layout Design: Publication layouts or digital interface designs.

🖼️ Image

Visual or multimedia content.

• Still Image: Photographs, figures, illustrations.
• Video (Moving Image): Recorded lectures, animations, or documentaries.

🌐 Interactive Resource

Web-based or user-interactive materials.

• Website: Research portals, educational microsites, or project dashboards.

🧭 Knowledge Organization System

Taxonomies, ontologies, and controlled vocabularies used to organize information within repositories and research databases.

🎓 Learning Object

Educational or training materials — including e-learning modules, tutorials, and teaching resources.

💻 Software

Code and computational tools used in research.

• Research Software: Analytical or simulation software developed for scientific studies.
• Source Code: Original programming code in any language (e.g., Python, R, PHP).

📚 Text

The most comprehensive category, covering all text-based academic outputs.
Includes:

• Book / Book Part: Monographs, edited volumes, or chapters.
• Journal Article: Research, review, data, or software papers.
• Thesis: Bachelor’s, master’s, or doctoral dissertations.
• Conference Output: Papers, posters, or presentations.
• Report: Technical, policy, or project deliverables.
• Preprint: Early versions of manuscripts before peer review.
• Review / Commentary / Peer Review: Evaluation or critique articles.
• Working Paper: Preliminary findings shared before formal publication.

🔊 Sound

Audio recordings, interviews, and music compositions — commonly used in ethnography, linguistics, and digital humanities.

⚙️ Workflow

Digital representations of processes, pipelines, or methodological steps.
Useful for documenting AI model training, laboratory procedures, or research automation.

Integrating COAR Resource Types in OJS

OJS users can easily implement the COAR system using the OpenAIRE plugin, ensuring:

• Automatic assignment of resource types to submissions.
• Metadata validation for OpenAIRE harvesters.
• Improved visibility of published content in global repositories.

This integration helps your journal transition from simply open access to openly connected — fully interoperable within the international research ecosystem.

Final Thoughts

The COAR Resource Type Classification System is not just a metadata list — it’s a foundation for international visibility, data interoperability, and research transparency.

For journals powered by OJS, adopting this classification through the OpenAIRE plugin means more than compliance; it means joining a global network of discoverable, machine-readable academic content.

The post COAR Resource Types in OJS: Ensuring OpenAIRE Compliance first appeared on OPEN JOURNAL SYSTEM SERVICES.

Introduction: Why Journal Metrics Matter

In today’s publishing world, journals compete not only on the quality of the papers they publish but also on how clearly they communicate their credibility, efficiency, and visibility. Readers, authors, and reviewers are increasingly selective. They want to know: How fast does this journal process submissions? What’s the acceptance rate? Is it indexed in trusted databases? How widely is it read and cited?

That’s where journal metrics come in.
Metrics are not just numbers. They are signposts of trust, evidence of performance, and indicators of future growth. When displayed correctly, journal metrics help authors decide where to submit, reviewers where to invest their time, and institutions which journals to recognize and support.

For journal managers, however, a recurring question is: Which metrics should we present? Where should they appear? In this guide, we’ll break down the most important journal metrics, explain why they matter, and offer practical suggestions on how to showcase them—both on the homepage and in a dedicated “Journal Metrics” or “Statistics” section.

This image shows the metrics section from a custom OJS theme we developed, designed to display key journal statistics in a clear and user-friendly format.

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1. Publishing Speed & Process Metrics

One of the first things authors look at is how long it takes to publish in your journal. Nobody wants to wait years for their work to appear. Process-related metrics signal efficiency, transparency, and professionalism.

Key examples include:

• Days to First Decision: Example – 14 days. Shows how quickly editors respond initially.
• Submission to Acceptance: Example – 120 days. Communicates the overall timeline authors can expect.
• Acceptance to Publication: Example – 15 days. Highlights production speed once a paper is accepted.
• Average Review Time: Example – 35 days. Transparency about peer review efficiency.
• Time to First Review Assignment: Example – 20 days. Shows how quickly reviewers are engaged.
• Total Publication Time: Example – 135 days. Summarizes the journey from submission to publication.

Why it matters: Shorter times can make your journal more attractive. Publishing speed also signals strong editorial workflows and reviewer management.

“Instead of reading the full text, you can also watch our video on this topic here:

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2. Acceptance & Publishing Statistics

Numbers also tell the story of selectivity and productivity. These statistics highlight both your journal’s scale and its editorial standards.

Examples:

• Annual Submissions Received: Example – 500 per year.
• Submissions Accepted: Example – 150.
• Acceptance Rate: Example – 30%. Indicates competitiveness.
• Rejection Rate: Example – 70%. Often paired with acceptance.
• Articles Published per Year: Example – 120. Shows consistency.
• Number of Issues per Year: Example – 6 issues annually.
• Special Issues Ratio: Example – 20%. Shows flexibility in publishing thematic collections.

Why it matters: These numbers help authors gauge how competitive your journal is, and help readers understand output volume. High-quality journals balance a healthy submission flow with thoughtful acceptance.

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3. Impact & Citation Metrics

Perhaps the most widely recognized, impact and citation metrics demonstrate scholarly influence.

Common examples:

• Impact Factor (Clarivate): Example – 3.3.
• 5-Year Impact Factor: Example – 4.2.
• CiteScore (Scopus): Example – 2.9.
• Scimago Journal Rank (SJR): Example – 0.65.
• Source Normalized Impact per Paper (SNIP): Example – 1.2.
• H-Index: Example – 45.
• Average Citations per Article: Example – 3.1.

Why it matters: These are the metrics universities, funders, and researchers often consider first. They highlight not just the quality of articles, but the journal’s reputation in its field.

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4. Access & Indexing Information

Beyond citations, a journal’s access model and indexing profile are key to visibility and compliance.

Important items:

• Access Type: Open Access vs. Subscription. Example – Open Access.
• License Type: Creative Commons options (e.g., CC BY 4.0).
• Article Processing Charge (APC): Example – 1000 USD, or “No APCs”.
• Indexing Databases: DOAJ, Web of Science, Scopus, PubMed, TR Dizin, EBSCO, Ulakbim.
• Plagiarism Check Tools: iThenticate, Turnitin.

Why it matters: Indexing increases discoverability. Access policies affect author trust. Displaying them openly communicates transparency and alignment with international publishing standards.

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5. Author & Reviewer Diversity

Academic publishing is global, and diversity metrics reflect inclusivity.

Examples:

• International Authorship: Example – 60%.
• Number of Contributing Countries: Example – 40+.
• Reviewer Pool Size: Example – *800+.
• Reviewers per Paper: Example – 2.5 on average.
• Editorial Board Countries: Example – 25 different nations.
• Gender Diversity Stats: Example – 45% women authors.

Why it matters: These metrics demonstrate a journal’s reach and inclusivity. Many indexers (such as DOAJ and Scopus) consider international diversity a key criterion.

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6. Reader Engagement & Visibility

Finally, journals should not ignore reader-facing metrics, which show impact beyond academia.

Examples:

• Annual Downloads: Example – 150,000+.
• Downloads per Article: Example – 1,200.
• Monthly Unique Visitors: Example – 20,000.
• Altmetric Attention Score: Example – 8.5 average.
• Social Media Mentions: Example – 1,500 total.
• Mendeley Readers: Example – 5,000 total / 40 per article.
• Registered Users or Subscribers: Example – 3,500 members.

Why it matters: These statistics highlight your journal’s visibility, both academically and publicly. They can reassure authors that their work will be widely read and shared.

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7. Beyond Numbers: Integrations and Tools

Metrics are powerful, but so are the technical integrations that support visibility and trust. If your journal runs on Open Journal Systems (OJS), you can leverage built-in integrations:

• ORCID: Enables authors and reviewers to link their publications to a verified researcher ID.
• Crossref: Ensures DOIs are assigned, making articles permanent and citable.
• Google Scholar: Increases discoverability.
• iThenticate/Turnitin: Shows commitment to plagiarism-free publishing.
• PlumX Metrics: Offers alternative metrics beyond citations.
• OAI-PMH Protocol: Ensures interoperability with repositories and databases.
• RSS Feeds: Keeps readers updated.
• Sitemaps: Improves SEO and indexing by Google.

Why it matters: These integrations make your journal stand out, signaling professionalism and technical maturity.

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8. How to Present Journal Metrics

Now that we know what to show, the question is: where to show them?

• Homepage: Display headline numbers (e.g., Impact Factor, Acceptance Rate, Days to First Decision). Keep it simple and eye-catching.
• Dedicated “Journal Metrics” Page: Present detailed breakdowns—publishing speed, acceptance statistics, diversity, engagement.
• Indexing Information: On homepage, show 2–3 key indexes (e.g., DOAJ, Scopus). For the full list, link to a dedicated “Indexing & Databases” page.
• Always Include “Last Updated” Date: Transparency builds trust. For example: Metrics last updated: March 2025.

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9. Why More (Accurate) Metrics = More Visibility

The more accurate and transparent your metrics, the stronger your journal’s profile becomes. Metrics help you:

• Build trust with authors and reviewers.
• Improve discoverability with readers and databases.
• Increase credibility in evaluations and rankings.
• Enhance scalability for future growth.
• Strengthen your competitive edge in attracting quality submissions.

Put simply: A journal without visible metrics is like a shop without a signboard. People may walk past, but few will come in.

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10. Guidance for Journal Managers

Not all journals are at the same stage.

• New journals: Focus on process metrics (speed, acceptance rates), access policy, and integrations (DOIs, ORCID, iThenticate).
• Established journals: Add citation-based metrics (Impact Factor, CiteScore), diversity stats, and reader engagement data.
• All journals: Keep metrics updated and clear. Outdated or missing data damages credibility.

At the end of the day, the right mix of metrics depends on your journal’s maturity, scope, and audience.

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11. Extended Checklist of Journal Metrics

Since every journal is unique, here is a broad list of possible metrics. Journals can select the ones most relevant to their scope and maturity:

• Publishing Speed & Process: Days to first decision, review time, acceptance to publication, total publication time.
• Acceptance & Publishing Statistics: Submissions received, accepted, acceptance/rejection rate, articles published, number of issues, special issues.
• Impact & Citations: Impact Factor, CiteScore, SJR, SNIP, H-Index, citations per article.
• Access & Indexing: Access type, license, APCs, indexing databases, plagiarism tools.
• Diversity: International authorship, contributing countries, reviewer pool size, gender diversity.
• Engagement: Downloads, unique visitors, Altmetrics, social media mentions, Mendeley readers.
• Technical Integrations: ORCID, Crossref, Google Scholar, iThenticate, PlumX, OAI-PMH, RSS, sitemap.

Note: These metrics vary between journals. Newer journals may not yet have citation metrics, while established ones can showcase both quantitative and qualitative indicators. Pick what’s relevant, but keep expanding as your journal grows.

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Conclusion

Journal metrics are more than just numbers—they are a communication tool. They tell authors that your journal is efficient, respected, and trustworthy. They reassure reviewers that their time is valued. They show readers that published research is widely read and cited.

By strategically presenting metrics on your website—highlighting a few on the homepage, and listing a comprehensive set on a dedicated page—you can strengthen your journal’s visibility, impact, and reputation.

At OJS Services, we help journals achieve exactly that. From new journal setup to OJS upgrades, from plugin integrations to custom theme development, we provide the technical and strategic support you need to present your journal at its very best.

The post Journal Metrics: Why They Matter and How to Present Them in Your Journal Website first appeared on OPEN JOURNAL SYSTEM SERVICES.