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Spatial Planning in Ghana: Antecedents and the Role of Local Artisans
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作者 Devine Hedidor Francis Kwesi Bondinuba Mohammed Abdulai Sadique 《Journal of Building Construction and Planning Research》 2016年第3期201-218,共18页
This paper explored the antecedents and the role of local artisans in Spatial Planning (SP) activities in Ghana. The paper was based on the results of an inspection of 5896 already built houses at Mepe in the Volta Re... This paper explored the antecedents and the role of local artisans in Spatial Planning (SP) activities in Ghana. The paper was based on the results of an inspection of 5896 already built houses at Mepe in the Volta Region of Ghana. A mixed method research approach was used to gather the data through snowball non-probability sampling technique. It enabled the researchers to identify 100 local artisans. Survey questionnaires were used, which was followed by structured interviews with five (5) elders who lived in the town for over 65 years. The results showed that the early houses were built on community lands with mud and thatch clustered with narrow and unnamed alleys. Property owners heavily depended on local artisans for professional guidance, although some artisans were ill-trained and unaware of existing government SP regulations. The study was limited to artisans who practiced at the local community level. The findings showed that many local artisans were poorly trained, resulting in poor workmanship and non-compliance with local planning regulations. The paper recommends the integration of SP into the artisanal curricula at both local and national levels to improve their skills. 展开更多
关键词 Artisans Ghana Spatial Planning SUSTAINABILITY URBANISM Construction Industry
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Editors' Note:Special Issue on Canonical Workflow FrameworksforResearch
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作者 Peter Wittenburg Alex Hardisty +4 位作者 Amirpasha Mozzafari Limor Peer Nikolay Skvortsov Alessandro Spinuso Zhiming Zhao 《Data Intelligence》 EI 2022年第2期149-154,共6页
This special issue is on Canonical Workflow Frameworks for Research(CWFR).A workflow refers to a sequence of activities,which may be more or less computer-based,used with regularity in the research process.CWFR aim to... This special issue is on Canonical Workflow Frameworks for Research(CWFR).A workflow refers to a sequence of activities,which may be more or less computer-based,used with regularity in the research process.CWFR aim to identify common patterns in such scientifically motivated workflows and to offer libraries of components based on FAIR Digital Objects as the integrative standard. 展开更多
关键词 WORKFLOW COMPUTER process.
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Reproducible Research Publication Workflow:A Canonical Workflow Framework and FAIR Digital Object Approach to Quality Research Output
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作者 Limor Peer Claudia Biniossek +1 位作者 Dirk Betz Thu-Mai Christian 《Data Intelligence》 EI 2022年第2期306-319,共14页
In this paper we present the Reproducible Research Publication Workflow(RRPW)as an example of how generic canonical workflows can be applied to a specific context.The RRPW includes essential steps between submission a... In this paper we present the Reproducible Research Publication Workflow(RRPW)as an example of how generic canonical workflows can be applied to a specific context.The RRPW includes essential steps between submission and final publication of the manuscript and the research artefacts(i.e.,data,code,etc.)that underlie the scholarly claims in the manuscript.A key aspect of the RRPW is the inclusion of artefact review and metadata creation as part of the publication workflow.The paper discusses a formalized technical structure around a set of canonical steps which helps codify and standardize the process for researchers,curators,and publishers.The proposed application of canonical workflows can help achieve the goals of improved transparency and reproducibility,increase FAIR compliance of all research artefacts at all steps,and facilitate better exchange of annotated and machine-readable metadata. 展开更多
关键词 FAIR research output FAIR Digital Objects Reproducible research Research compendium Compendium publication workflow Data quality review
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