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  • × author_ss:"Johnson, A."
  • × year_i:[2010 TO 2020}
  1. Eschenfelder, K.R.; Johnson, A.: Managing the data commons : controlled sharing of scholarly data (2014) 0.02 
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    Abstract
    This paper describes the range and variation in access and use control policies and tools used by 24 web-based data repositories across a variety of fields. It also describes the rationale provided by repositories for their decisions to control data or provide means for depositors to do so. Using a purposive exploratory sample, we employed content analysis of repository website documentation, a web survey of repository managers, and selected follow-up interviews to generate data. Our results describe the range and variation in access and use control policies and tools employed, identifying both commonalities and distinctions across repositories. Using concepts from commons theory as a guiding theoretical framework, our analysis describes the following five dimensions of repository rules, or data commons boundaries: locus of decision making (depositor vs. repository), degree of variation in terms of use within the repository, the mission of the repository in relation to its scholarly field, what use means in relation to specific sorts of data, and types of exclusion.
    Date
    22. 8.2014 16:56:41
    Type
    a
  2. Jagtap, S.; Johnson, A.: Requirements and use of in-service information in an engineering redesign task : case studies from the aerospace industry (2010) 0.00 
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    Abstract
    This article describes the research stimulated by a fundamental shift that is occurring in the manufacture and marketing of aero engines for commercial and defense purposes, away from the selling of products to the provision of services. This research was undertaken in an aerospace company, which designs and manufactures aero engines and also offers contracts, under which it remains responsible for the maintenance of engines. These contracts allow the company to collect far more data about the in-service performance of their engines than was previously available. This article aims at identifying what parts of this in-service information are required when components or systems of existing engines need to be redesigned because they have not performed as expected in service. In addition, this article aims at understanding how designers use this in-service information in a redesign task. In an attempt to address these aims, we analyzed five case studies involving redesign of components or systems of an existing engine. The findings show that the in-service information accessed by the designers mainly contains the undesired physical actions (e.g., deterioration mechanisms, deterioration effects, etc.) and the causal chains of these undesired physical actions. We identified a pattern in the designers' actions regarding the use of these causal chains. The designers have generated several solutions that utilize these causal chains seen in the in-service information. The findings provide a sound basis for developing tools and methods to support designers in effectively satisfying their in-service information requirements in a redesign task.
    Type
    a

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