Gaze movement analysis examined how people view and interact with health information on Facebook pages.

Background: Gaze movement analysis is a human-computer interaction analysis method to assess time and viewing patterns of screen pages.

Aims/objectives: This study examines Facebook users' health information viewing patterns and identifies social media interface factors that affect users' health information behaviour on Facebook. The findings of this study should help researchers and health information providers understand how Facebook is used, and how users might be appraising information viewed.

Innovative public library services during the COVID-19 pandemic: Application and revision of social innovation typology.

Public libraries needed to quickly address the new challenges brought by COVID-19 to continue their services. This study aimed to understand innovative public library services during the pandemic and provide a typology that represent their services. Twitter messages of 12 large public libraries were analyzed to identify library services.

Characterizing the research data management practices of NIH biomedical researchers indicates the need for better support at laboratory level.

Background: The study investigated the research data management (RDM) practices of biomedical researchers at the National Institutes of Health (NIH) representing various biomedical disciplines.

Objectives: This study aimed to analyse the state of biomedical researchers' RDM practices based on RDM practice levels (individual, laboratory, institution and external). The findings of the study are expected to provide directions to information professionals for effective RDM services.

Practical considerations for a library's research data management services: the case of the National Institutes of Health Library.

Objective: This study investigates research data management (RDM) services using a crosstab framework with the National Institutes of Health (NIH) Library as a case study to provide practical considerations for libraries seeking to improve their RDM services.

Methods: We conducted semistructured interviews with four librarians who provide data services at the NIH Library regarding library user characteristics, RDM services provided, RDM infrastructure, and collaboration experiences. Through the analysis of interview transcripts, we identified and analyzed the NIH Library's RDM services according to Online Computer Library Center (OCLC)'s three categories of RDM services and the six stages of the data lifecycle.

Analysis of College Students' Personal Health Information Activities: Online Survey.

Background: With abundant personal health information at hand, individuals are faced with a critical challenge in evaluating the informational value of health care records to keep useful information and discard that which is determined useless. Young, healthy college students who were previously dependents of adult parents or caregivers are less likely to be concerned with disease management. Personal health information management (PHIM) is a special case of personal information management (PIM) that is associated with multiple interactions among varying stakeholders and systems.

College Students' Health Information Activities on Facebook: Investigating the Impacts of Health Topic Sensitivity, Information Sources, and Demographics.

College students tend to lack access to health information. Because social networking sites (SNSs) are popularly adopted by college students, SNSs are considered to be good media channels for college students to obtain health-related information. This study examines the factors that influence college students' health information-seeking and -sharing activities on Facebook.

Research trends in teens' health information behaviour: a review of the literature.

Objective: This study aims to examine trends in studies of teens' health information behaviour.

Methods: Eighty-two articles published between 2000 and 2012 were selected and analysed in various aspects: health topics by year, information sources, data collection methods, use of theories and models, collaborative and interdisciplinary efforts and published journals.

Results: Fifty-seven per cent of the studies focused on specific health topics, such as sexual health, while the rest covered general health topics.