Results 151 to 160 of about 10,750,868 (266)

A Terminology Service Supporting Semantic Annotation, Integration, Discovery and Analysis of Interdisciplinary Research Data

Datenbank-Spektrum, 2016
Naouel Karam, C. Müller-Birn, Maren Gleisberg, David Fichtmüller, R. Tolksdorf, A. Güntsch   +5 more
semanticscholar   +1 more source

Affective dimensions in the information behavior of forcibly displaced people: A literature review. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley   +1 more source

Usability and feasibility of the longitudinal implementation strategy tracking system: a think-aloud study with implementation researchers. [PDF]

Front Health Serv
Merle JL, Smith JD.
europepmc   +1 more source

Incremental refinement of relevance rankings: Balancing relevance depth and scope

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Delivering both relevant and topically diverse results is a key challenge in information retrieval (IR). This study introduces a hybrid method that incrementally refines rankings by combining probabilistic topic modeling (latent dirichlet allocation [LDA]) with citation‐based pennant retrieval grounded in Relevance Theory (RT), optimizing for ...
Müge Akbulut, Yaşar Tonta
wiley   +1 more source

Evaluating a digital serious game for learning medical terminology in a randomized controlled trial. [PDF]

NPJ Digit Med
Kimiafar K, Mousavi Baigi SF, Sarbaz M, Sobhani-Rad D, Darroudi A, Marouzi P, Tabatabaei SM, Khadem Rezaeian M, Sohrabi-Far M, Esmaeili M.   +9 more
europepmc   +1 more source

Phantom citations: An empirical study of non‐existent and unverifiable references in scholarly literature

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The integrity of scholarly communication depends critically on the accuracy and verifiability of cited references. Citations enable readers to trace prior work, assess evidence, and situate new contributions within the existing literature. However, concerns have emerged regarding the presence of references in published papers that cannot be ...
Chengcheng Han, Sathiamoorthy Manoharan, Xinfeng Ye, Ulrich Speidel   +3 more
wiley   +1 more source

Beyond a Name Change: Polyendocrine Metabolic Ovarian Syndrome and a New Era of Opportunity for Research, Care, and Advocacy. [PDF]

Int J Endocrinol Metab
Ramezani Tehrani F, Azizi F, Behboudi-Gandevani S.   +2 more
europepmc   +1 more source

The role of editorial boards in shaping scholarly communication: A large‐scale mapping of their composition and structure

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Editorial boards play a central role in shaping scholarly communication by influencing what research is published and how disciplinary boundaries are defined. Despite their importance, large‐scale, systematic evidence on their composition and structure remains limited.
Evangelina Becerra‐Rodero, José Luis Ortega   +1 more
wiley   +1 more source

Dynamic Closed-Loop Medical Record Quality Management Using an AI-Driven Multilevel Quality Control System: Development and Implementation Study. [PDF]

JMIR Med Inform
Wu Y, Li H, Su A, Yang W, Ding L.
europepmc   +1 more source

Critical questions for documenting collections as data: Provocations from developing datasheets for web archives datasets

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Scholarship on documentation of datasets is increasingly concerned with capturing the context, socio‐technical processes, and decisions shaping data. “Datasheets for datasets” is a recent approach developed by researchers in machine learning that foregrounds transparency and uncovering bias through data documentation.
Emily Maemura, Helena Byrne
wiley   +1 more source