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La donnée géographique aux frontières des organisations : approche socio-cognitive et systémique de son appropriation

机译:关于组织边界的地理数据:社会认知和系统拨款方法

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摘要

Geographic Information Technologies are now widespread. Geomatics tools are no longer restricted to a small number of technicians but impact on all of the actors within the land management sector (planners, geologists, foresters...). Many partnerships have emerged due to the increasing number of GIS expert as well as the increasing needs of integrated land approaches. Beyond their original purpose of basic map dissemination, these groups require spatial data infrastructures in order to organize thematic data coproduction. That is the reason why a switch is occuring : from spatial data sharing to spatial knowledge sharing. In this context, the thesis intends to understand and analyse the issues of this new interorganizational geomatics. Spatial data build a territorial reality reflecting experience and expectations of its producer. That is the reason why the issues are numerous. How can spatial data be simultaneously the result of collective negotiation as well as the object of individual representation ? So, the aim of this research is to understand the role of spatial data on the cooperation process of land managers (and stakeholders in land management). In order to give an answer, we choose to study the spatial data appropriation process. This process opens the analysis of how data can be used by a group that has not produced the data itself, as well as in a multi-actor context. We adopt a qualitative, inductive and exploratory methodology called "grounded theory" to build and specify our working hypothesis throughout the research. Four iterations allow a "roundtrip" process between empirical observations and theoretical analysis thus progressively exploring different aspects of explanation. A socio-cognitive approach, supported by observations, analyzes spatial data as a boundary-object in a socially and cognitively distributed actor network. Distributed cognition theory offers a framework to understand data as a cognitive and collaborative artefact. Eight exploratory case studies help to identify typical appropriation trajectories, factors and socio-cognitive processes. A systemic approach is applied to the results in order to propose an integrated and complementary vision of appropriation trajectories. The systemic framework of Eric Schwarz is used to highlight the importance of mediation process and focuses on the emergence of spatial knowledge sharing. Finally, an action agenda can be emerge from an assessment of this new way to analyze the interorganizational geomatics. This agenda comprises organisation (from consensus or compromise to an argumentative consensus process), actors (from animator to a facilitator competence) and technology (from standardizing ontologies to negociating ontologies). This research offers a different vantage point on the spatial data question. Systemic and socio-cognitive approaches suggest a new integration of knowledge and information in the context of geographical information technologies. The thesis therefore provides understanding and operation elements so that spatial data sharing can progressively evolve into geomatics learning networks, also termed "communities of practice".
机译:地理信息技术现在广泛。测绘工具不再局限于少数技术人员,但对所有的土地管理部门(规划师,地质学家,林...)中的演员的影响。许多伙伴关系已经出现,由于越来越多的GIS专家以及综合用地接近日益增长的需求。除了原来的基本地图传播的目的,这些群体需要以组织专题数据联产空间数据基础设施。这就是为什么一个开关是发生的原因:从空间数据共享空间知识共享。在此背景下,本文试图理解和分析这一新的组织间的地理信息的问题。空间数据建立一个领土的现实反映的经验和它的生产商的预期。这就是为什么这些问题有很多的原因。如何空间数据同时是集体协商以及个别代表的对象的结果呢?因此,本研究的目的是了解空间数据对土地管理者的合作过程中(在土地管理和利益相关者)的角色。为了给出一个答案,我们选择研究空间数据的拨款程序。这个过程将打开的数据如何可以由未产生的数据本身,以及在多演员上下文的一组中使用的分析。我们采用所谓的“基础理论”定性的,感性和探索性的方法来构建和整个研究指定我们的工作假说。四次迭代允许经验观察和理论分析之间的“往返”过程从而逐步探索的解释不同方面。甲社会认知的方法,由观察的支持,分析空间数据以对社会和认知分布式网络演员的边界对象。分布式认知理论提供了一个框架,了解数据的认知和协作假象。八探索案例研究有助于发现典型拨款的轨迹,影响因素和社会认知过程。一种系统的方法应用于结果,以便提出拨款轨迹的一个集成的和互补的视力。埃里克·施瓦茨的制度框架是用来突出调解过程中的重要性,并侧重于空间知识共享的出现。最后,行动纲领可以从这种新的生活方式的评估来冒出来分析组织间的地理信息。该议程包括组织(从共识或妥协的争论达成共识的过程),演员(从动画到推动者的能力)和技术(从标准化本体来negociating本体)。这项研究提供了对空间数据的问题,不同的有利位置。全身和社会认知的方法建议的知识和信息的地理信息技术的背景下,新的整合。因此,本文提供的理解和操作元件,使得空间数据共享可以逐步演变成地理信息学习网络,也称作“实践社区”。

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  • 作者

    Matthieu Noucher;

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  • 年度 2010
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  • 正文语种 fra/fre
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