Author Guidelines

Authors should read the aims and scope before submission. Manuscripts must be original, clearly written and not under review elsewhere.

Article types

• Research articles
• Review and theory articles
• Methods and systems studies
• Case studies and evidence-based practice
• Data, metadata and resource papers
• Research notes and short communications

Information science reporting

State the research question, setting, population or collection, conceptual framework and contribution. Describe sampling, instruments, systems, datasets, metadata standards, retrieval methods, interfaces and analyses in sufficient detail. Report limitations, accessibility considerations and the organizational or community context.

Studies involving people and institutions

User studies, surveys, interviews, usability testing, learning analytics and research using identifiable records require appropriate ethics review and informed consent where applicable. Protect patron confidentiality, intellectual freedom, privacy and vulnerable communities. Do not disclose sensitive search, circulation, location or institutional data without lawful authorization.

Data, systems and reproducibility

Include a Data Availability Statement. Deposit anonymized data, instruments, code, metadata schemas, queries, configurations and documentation where lawful and ethical. Identify software versions, standards, repositories, licences and access restrictions.

Review files

Provide a separate title page and anonymized manuscript for double-blind review. Disclose funding, competing interests, author contributions and material use of generative AI.

Submission status

Online submissions are temporarily closed while IKR completes its editorial setup.