ARIST

The January 2026 Issue of ARIST Is Here!

Full Issue

Evolution of the “long-tail” concept for scientific data: An Annual Review of Information Science and Technology (ARIST) paper

Gretchen R. Stahlman, Inna Kouper

Sustaining the “frozen footprints” of scholarly communication through open citations: An Annual Review of Information Science and Technology (ARIST) paper

Zehra Taşkın

Spiritual and religious information experiences: An Annual Review of Information Science and Technology (ARIST) paper

Nadia Caidi, Pranay Nangia, Hugh Samson, Cansu Ekmekcioglu, Michael Olsson

Investigating the interactions between individuals with disabilities and information retrieval systems: A review of help-seeking situations, search tactics, and design recommendations. An Annual Review of Information Science and Technology (ARIST) paper

Iris Xie, Wonchan Choi, Hyun Seung Lee, Bo Hyun Hong, Shengang Wang

Usage of the term provenance in LIS literature: An Annual Review of Information Science and Technology (ARIST) paper

Rhiannon Bettivia, Yi-Yun Cheng, Michael R. Gryk

Technical standards within socio-technical systems: An Annual Review of Information Science and Technology (ARIST) paper

Matthew S. Mayernik

The issues caused by misinformation—How workers and organizations deal with it: A systematic literature review. An Annual Review of Information Science and Technology (ARIST) paper

Ashwani Malhotra, Nina Evans, Jing Gao, Jia Tina Du, Connie Zheng

Toward cognition, affect, and conation: The design and use of neuroscience in information behavior studies. An Annual Review of Information Science and Technology (ARIST) paper

Zihan Zhu, Dongfang Sheng

Semantic primitives and compositionality: An Annual Review of Information Science and Technology (ARIST) paper

Birger Hjørland

Machine learning on blockchain data: A systematic mapping study. An Annual Review of Information Science and Technology (ARIST) paper

Georgios Palaiokrassas, Sarah Bouraga, Leandros Tassiulas

Research data management services in academic libraries to support the research data life cycle: A systematic review. An Annual Review of Information Science and Technology (ARIST) paper

Richard Cheng Yong Ho, Suei Nee Wong, Patsy Chia, Chris Tang, Magdeline Tao Tao Ng

Current challenges and future directions for institutional repositories: A systematic literature review. An Annual Review of Information Science and Technology (ARIST) paper

Laura Rothfritz, Lisa Matthias, Heinz Pampel, Marcel Wrzesinski

Neurodivergence in academic libraries: A review of findings, recommendations, and remaining gaps in practice and research. An Annual Review of Information Science and Technology (ARIST) paper

Catharina Ochsner, Jesse Dinneen

---

Publication Information

The Annual Review of Information Science and Technology (ARIST) publishes comprehensive and systematic reviews on topics relevant to information science, computing science, and technology, broadly defined. An ideal ARIST manuscript presents both an historic overview and a discussion of contemporary trends related to the topic being investigated.

The audience for ARIST reviews is diverse, including readers from across various disciplines and professional contexts; reviews are intended to educate, enlighten, and be cited by (for example) doctoral students drafting literature reviews, information professionals applying the latest evidence in practice, or professors summarising research innovations in grant applications.

Submission Guidelines

ARIST welcomes Expressions of Interest for authors to prepare manuscripts of two types:

1. Updated reviews on topics published previously by ARIST (1966-2011) where recent research demonstrates ongoing or renewed relevance for ARIST’s readership; and,
2. New and emerging research topics of potential interest to ARIST’s readership, such as:

• The rise of “big data” and machine learning
• Social media platforms and social change (e.g., #metoo; #blacklivesmatter)
• Misinformation and disinformation
• Implications of COVID-19 on health information seeking
• Youth engagement with social media platforms (e.g., Tik Tok)

Submitting your Expression of Interest

Authors should review the Author Guidelines. ARIST encourages co-authorship, including teams of senior and early-career scholars, with authors from diverse backgrounds.

ARIST authors and reviewers:  to aid your review writing and reviewing process, please read the ARIST Guidance for Authors and Referees for preferred types of review and synthesis, approaches, published examples of reviews, tutorials, tools, and advice.

Manuscript submission to ARIST involves a two-step process:

1) Author(s) must submit an initial Expression of Interest via the ScholarOne portal.

You will be asked to provide a number of details, including:

—Topic Proposal. In 200-250 words, please explain the topic, significance, and plan for the proposed review, including (but not limited to) the following details:

• Scope and timeframe of the topic to be reviewed
• Primary and cognate disciplines from which relevant research may be cited
• Examples of leading researchers whose work may be cited
• Methodology to be used for the review (e.g., content analysis; systematic review)
• Relevance of the topic to ARIST’s readership

—Names of two potential reviewers for the manuscript

—Explanation (25-50 words) of why the review is relevant and timely for ARIST publication

—Proposed Submission Deadline for your full review manuscript

2) Authors of approved Expression of Interest proposals will be invited to write a full manuscript of 10,000-15,000 words to submit for peer review.

Please contact us at arist@asist.org if you have any questions.