Results 131 to 140 of about 14,100 (266)

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

Editorial: Exploring social stratification dynamics: insights from longitudinal survey data. [PDF]

Front Sociol
Tillmann R, Lebert F, Kuhn U, Budowski M.   +3 more
europepmc   +1 more source

Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 703-717, April 2025.
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto, Amina A. Abdu, Natascha Chtena   +2 more
wiley   +1 more source

A call to re-collectivize science and make it more equitable. [PDF]

NPJ Biodivers
Bonet RJ.
europepmc   +1 more source

Developing a critical caste analysis within information science and technology: A research review: An annual review of information science and technology paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley   +1 more source

Introducing "ELLAS Survey Dataset" an open resource about factors that influence career interest and leadership in STEM in Bolivia, Brazil, and Peruo. [PDF]

Data Brief
Guzman IR, Branisa B, Davila G, Sánchez-Guillén F, Pereira LRR, Mendes L, Frigo LB, Rodríguez-Rodriguez N, Bim SA, Maciel C.   +9 more
europepmc   +1 more source

Sleep‐trackers in the wild: A faceted taxonomy for information and interaction design

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Consumer‐grade sleep‐tracking technologies (CSTs) have brought sleep into everyday data practices, reframing it from a clinical concern into a site of personal optimization and reflection. Yet existing taxonomies of sleep‐tracking often medicalize users and overlook the complexity of sleep‐tracking technologies. This paper presents SleepTax, a
Sanonda Datta Gupta, Jaime Snyder, John S. Seberger   +2 more
wiley   +1 more source

Cross‐disciplinary integration: Information practices and a role for information scholars. An annual review of information science and technology paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Cross‐disciplinary research is a priority for many academic institutions, with a growing body of scholarship dedicated to studying the central practice of cross‐disciplinarity: integration, or the synthesis of knowledge, information, and data across disciplines and domains.
Ciara Zogheib
wiley   +1 more source

"Lead like a woman": strengthening healthcare, medical imaging, and oncology through female leadership. [PDF]

Br J Radiol
Malamateniou C, Cornacchione P.
europepmc   +1 more source

Interpreting algorithmic information cues: User sensemaking of search autocomplete moderation

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Autocomplete is a search feature that algorithmically generates information cues for any keywords entered in the search bar. While this feature makes the search process more efficient, it also frequently produces biased, misleading, offensive, or otherwise inappropriate suggestions.
Shagun Jhaver
wiley   +1 more source