Search (4 results, page 1 of 1)

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Abstract

Understanding how groups end and how group members depart helps us understand how these ending and departure processes affect group outcomes, individuals' willingness and ability to work in subsequent groups together or with others, and the maintenance of group-generated knowledge over time. In this article, a distributed, grant-funded research project group provides the setting for an analysis of the process that members went through as they disengaged from and dismantled their group when the funding period ended and the project was winding down. Qualitative interviews with group members were analyzed using a model of disengaging that was developed in an earlier study. The model comprises 12 interwoven parts of a disengaging process that begins well before the group ends and extends beyond the official termination of the group. The model frames the analysis and is revised as a result of the research findings.

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Abstract

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.

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Abstract

Amyotrophic lateral sclerosis (ALS) is a progressively debilitating neurodegenerative condition that occurs in adulthood and targets the motor neurons. Social support is crucial to the well-being and quality of life of people with unpredictable and incurable diseases such as ALS. Members of the PatientsLikeMe (PLM) ALS online support community share social support but also exchange and build distributed knowledge within their discussion forum. This qualitative analysis of 1,000 posts from the PLM ALS online discussion examines the social support within the PLM ALS online community and explores ways community members share and build knowledge. The analysis responds to 3 research questions: RQ1: How and why is knowledge shared among the distributed participants in the PLM-ALS threaded discussion forum?; RQ2: How do the participants in the PLM-ALS threaded discussion forum work together to discover knowledge about treatments and to keep knowledge discovered over time?; and RQ3: How do participants in the PLM-ALS forum co-create and treat authoritative knowledge from multiple sources including the medical literature, healthcare professionals, lived experiences of patients and "other" sources of information such as lay literature and alternative health providers? The findings have implications for supporting knowledge sharing and discovery in addition to social support for patients.

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Date

22. 1.2011 13:19:42