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IASSIST Quarterly

International Association for Social Science Information Service and Technology · United States

eISSN2331-4141

✓ DOAJ✓ Open Access

/ 100

High Risk

Score Breakdown

✓ DOAJ Verified+15

Total15

Aims & Scope

IASSIST Quarterly is the official journal of IASSIST, a global network of data professionals championing the power, appropriate use and citation, and effective management of qualitative and quantitative data in research and teaching. Committed to open access, this English-language journal serves as a free international forum in which to exchange research, innovations, and insights from practice that bring value to the community in the ever-evolving world of research data and data management. Manuscripts are invited on such topics as: data literacy, data access, reference and other support services, metadata, preservation and archiving, data creation and use, and open and ethical data.

General Information

Country / RegionUnited States

Primary LanguageEnglish

1st Year Published—

Frequencyquarterly

StatusActive

Total Publications—

Publisher OrgUniversity of Alberta Library

Visit Journal Website

Submission Info

Peer ReviewAnonymous peer review

Review Time—

Acceptance Rate—

OA LicenseCC BY-NC

OA Rate—

Ethics & Quality

COPE Member✗ No

OASPA Member✗ No

Not on Predatory Lists✓ Yes

📦 Long-term Preservation

PKP Preservation NetworkScholars Portal Journals

Think.Check.Submit Compliance

thinkchecksubmit.org

10/12 · 83%

✅

Do you know the journal / publisher?

International Association for Social Science Information Service and Technology

✅

Does the journal have a website?

✓ Linked

✅

Is the ISSN verified?

2331-4141

✅

Indexed in a trusted database?

DOAJ

✅

Peer review process documented?

Anonymous peer review

❌

Follows ethical publishing standards (COPE)?

N/A

✅

APC fees clearly disclosed?

Yes

✅

Not on predatory/blacklists?

✓ Clean

✅

Long-term digital preservation?

PKP Preservation Network, Scholars Portal Journals

❌

Plagiarism detection in place?

N/A

✅

Listed in DOAJ (verified OA)?

DOAJ verified

✅

Primary language documented?

English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Subject Classification

Research Topics (OpenAlex)

Research Data Management PracticesData Quality and ManagementData Analysis and ArchivingDigital and Traditional Archives ManagementScientific Computing and Data ManagementBig Data and Business IntelligenceSemantic Web and OntologiesCognitive Abilities and TestingBig Data Technologies and Applicationsdemographic modeling and climate adaptation