Cooperative knowledge work and practices of trust

House, Nancy A. Van; Butler, Mark H.; Schiff, Lisa R.

doi:10.1145/289444.289508

Cited by 70 publications

(61 citation statements)

References 8 publications

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“…For example, is a report of a rare plant in an unusual location a significant sighting, or an identification error? In earlier research on digital libraries, my colleagues and I [36,46,47,49] investigated the concerns of environmental data users and producers about networked information. We found considerable enthusiasm about the potential of networking, but we also heard worries.…”

Section: Biodiversity Data and Networkingmentioning

confidence: 99%

Trust and epistemic communities in biodiversity data sharing

House

2002

Proceedings of the 2nd ACM/IEEE-CS Joint Conference on Digital Libraries

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Trust is a key element of knowledge work: what we know depends largely on others.This paper discusses the concepts of communities of practice and epistemic cultures, and their implication for design of digital libraries that support data sharing, with particular reference to practices of trust and credibility. It uses an empirical study of a biodiversity digital library of data from a variety of sources to illustrate implications digital library design and operation.It concludes that diversity and uncomfortable boundary areas typify, not only digital library user groups, but the design and operation of digital libraries.

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Section: Biodiversity Data and Networkingmentioning

confidence: 99%

Trust and epistemic communities in biodiversity data sharing

House

2002

Proceedings of the 2nd ACM/IEEE-CS Joint Conference on Digital Libraries

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“…Because data reuse practices are influenced by different disciplinary cultures and the processes for creating various types of data, the majority of this research has investigated data reuse practices and reusers' behaviors within specific disciplines, including cancer epidemiology research (Rolland & Lee, 2013), ecology (Borgman, Wallis, & Enyedy, 2007;Zimmerman, 2003), biological science (Chin & Lansing, 2004), environmental science (Van House, Butler, & Schiff, 1998), astronomy (Sands, Borgman, Wynholds, & Traweek, 2012), and earthquake engineering (Faniel & Jacobsen, 2010). Data reuse practices can be distinctive, depending on the types of data being reused, and some research has focused on certain types of data for reuse, such as quantitative (Faniel, Kriesberg, & Yakel, 2016) or qualitative data (e.g., Broom, Cheshire, & Emmison, 2009;Moore, 2007;Yoon, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

Role of communication in data reuse

Yoon

2017

Proc. Assoc. Info. Sci. Tech.

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In acknowledging the potentials of existing data, researchers' interests in sharing and reusing data have recently emerged. However, sharing and reusing data is not a simple one‐step process for researchers. Because data reusers build their work on other researchers' findings, the process of data reuse involves various interactions and communications with other relevant parties. Exploring the nature of communications around data is thus important to fully understand data reuse practices and to support smoother processes of data reuse. This study investigates communications occurring around data during data reusers' experiences through qualitative interview studies involving this group. This study's results show that the communications with different stakeholders mainly support data reuse in three areas: searching, learning, and problem solving. The findings provide valuable insights into the domain of scholarly communication, data reuse, and data services.

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“…Data curation, embracing ''the care of the record within scientific context and environment'' (Lord and Macdonald, 2003, p. 45), is complementary as well as critical in providing a substrate for the successful access, sharing and (re)use of data collections, issues that already have received extensive attention (e.g. Sterling andWeinkam, 1990, Hilgartner, 1995;Van House et al, 1998;Helly et al, 2002;Newman et al, 2003;Arzberger et al, 2003;Zimmerman, 2003;Jirotka et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Enriching the Notion of Data Curation in E-Science: Data Managing and Information Infrastructuring in the Long Term Ecological Research (LTER) Network

Karasti

Baker

Halkola

2006

Comput Supported Coop Work

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This paper aims to enrich the current understanding of data curation prevalent in e-Science by drawing on an ethnographic study of one of the longest-running efforts at longterm consistent data collection with open data sharing in an environment of interdisciplinary collaboration. In such a context we identify a set of salient characteristics of ecological research and data that shape the data stewardship approach of the Long Term Ecological Research (LTER) network. We describe the actual practices through which LTER information managers attend to the extended temporal scale of long-term research and data sets both through data care work and information infrastructure development. We discuss the issues of long-term and continuity that represent central challenges for data curation and stewardship. We argue for more efforts to be directed to understanding what is at stake with a long-term perspective and differing temporal scales as well as to studying actual practices of data curation and stewardship in order to provide more coherent understandings of e-Science solutions and technologies.

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Cooperative knowledge work and practices of trust

Cited by 70 publications

References 8 publications

Trust and epistemic communities in biodiversity data sharing

Trust and epistemic communities in biodiversity data sharing

Role of communication in data reuse

Enriching the Notion of Data Curation in E-Science: Data Managing and Information Infrastructuring in the Long Term Ecological Research (LTER) Network

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