The production of scientific knowledge has evolved from a process of inquiry largely based on the activities of individual scientists to one grounded in the collaborative efforts of specialized research teams. This shift brings to light a new question: how the composition of scientific teams affects their production of knowledge. This study employs data from 1,415 experiments conducted at the National High Magnetic Field Laboratory (NHMFL) between 2005 and 2008 to identify and select a sample of 89 teams and examine whether team diversity and network characteristics affect productivity.The study examines how the diversity of science teams along several variables affects overall team productivity. Results indicate several diversity measures associated with network position and team productivity. Teams with mixed institutional associations were more central to the overall network compared with teams that primarily comprised NHMFL's own scientists. Team cohesion was positively related to productivity. The study indicates that high productivity in teams is associated with high disciplinary diversity and low seniority diversity of team membership. Finally, an increase in the share of senior members negatively affects productivity, and teams with members in central structural positions perform better than other teams.

Boundary objects are abstract or physical artefacts that exist in the liminal spaces between adjacent communities of people. The theory of BOs was originally introduced by Star and Griesemer in a study on information practices at the Berkeley Museum of Vertebrate Zoology but has since been adapted in a broad range of research contexts in a large number of disciplines including the various branches of information science. The aim of this review article is to present an overview of the state of the art of information science research informed by the theory of BOs, critically discuss the notion, and propose a structured overview of how the notion has been applied in the study of information.

To be effective and at the same time sustainable, a community data curation model needs to be aligned with the community's current data practices, including research project activities, data types, and perceptions of data quality. Based on a survey of members of the condensed matter physics (CMP) community gathered around the National High Magnetic Field Laboratory, a large national laboratory, this article defines a model of CMP research project tasks consisting of 10 task constructs. In addition, the study develops a model of data quality perceptions by CMP scientists consisting of four data quality constructs. The paper also discusses relationships among the data quality perceptions, project roles, and demographic characteristics of CMP scientists. The findings of the study can inform the design of a CMP data curation model that is aligned and harmonized with the community's research work structure and data practices.

Alongside cognitive and social phenomena, many scholars have examined emotional and affective considerations in information science, but a potential emotional or affective paradigm has not coalesced to the extent of the social or cognitive paradigms. We argue information science research should integrate the social paradigm, as offered by social informatics, with affective and emotional considerations: a socio‐emotional paradigm. A review of existing literature and findings from users' motivations to participate on the Academia section of the Stack Exchange social questioning‐and‐answering site make our case. We uncovered tensions between the intended information‐centric focus of the community and users who believed social, emotional, and affective considerations needed to be foregrounded, speaking to online communities acting as boundary objects, with the “fit” for one user or community not always the same as for another. An integrated socio‐emotional paradigm shows much strength for social informatics and information science research, including uncovering hidden concerns and differences in values, as in our study. Affective and emotional research, often bubbling under in information science, should rise to the surface is not so much a paradigm shift but an integration of social, emotional, and affective considerations into a socio‐emotional paradigm.

The purpose of the current study is to investigate perceptions regarding the quality of online health answers in social Q&A. The current study differs from previous studies by focusing on the topic of health, comparing the evaluations of users against experts. Three groups of participants – librarians, nurses, and users of Yahoo! Answers – were invited to assess the quality of health answers posted in Yahoo! Answers. Forty participants from each group reviewed a total of 400 health answers, rating them with a 5‐points Likert scale according to 10 evaluation criteria: accuracy, completeness, relevance, objectivity, source credibility, readability, politeness, confidence, knowledge, and efforts. Findings indicated that there was no significant difference of the quality ratings between librarians and nurses. There was, however, significant difference between those two expert groups (librarians and nurses) and users. Librarians and nurses rated the quality of answers lower on most of the evaluation criteria than users. This research will help librarians and nurses better understand how laypeople, such as their patrons and patients, evaluate online health information in social contexts, leading to the offering of better health information services to these audiences.