Modelling dependency networks to inform data structures in BIM and smart cities

The pervasive deployment of "smart city" and "smart building" projects in cities world-wide is driving innovation on many fronts including; technology, telematics, engineering and entrepreneurship. This paper focuses on the technical and engineering perspectives of BIM and smart cities, by extending building and urban morphology studies as to respond to the challenges posed by Big Data, and smart infrastructure. The proposed framework incorporates theoretical and modelling descriptions to verify how network-based models can act as the backbone skeletal representation of both building and urban complexity, and yet relate to environmental performance and smart infrastructure. The paper provides some empirical basis to support data information models through building dependency networks as to represent the relationships between different existing and smart infrastructure components. These dependency networks are thought to inform decisions on how to represent building and urban data sets in response to different social and environmental performance requirements, feeding that into void and solid descriptions of data maturity models. It is concluded that network-based models are fundamental to comprehend and represent the complexity of cities and inform urban design and public policy practices, in the design and operation phases of infrastructure projects

filtcutRUN4-TAG-12_R2_paired

Fastq data : see sup. table 1 (MER-15-0195) for more detail

Pb-Campo1-R11T81_R1R2.fastq

Podococcus barteri Pb-Campo1 sample - Chloroplast enrichment sequencing (MiSeq) - .bam file containing reads after mapping on the chloroplast genom

RUN3-TAG-55

Pennisetum glaucum 18311 sample - chloroplast enrichment library (MiSeq) - .bam file containing reads after mapping on the chloroplast genome. Only reads properly mapped were use

Dioscorea_Var15_A571

vcf produce when calling SNP on Dioscorea abyssinica samples with Var15 metho

Pb-Aloum8-R11T73_R1R2.fastq

Podococcus barteri Pb-Aloum8 sample - Chloroplast enrichment sequencing (MiSeq) - .bam file containing reads after mapping on the chloroplast genom

filtcutRUN4-TAG-25_R2_paired

Fastq data : see sup. table 1 (MER-15-0195) for more detail

RUN3-TAG-59_R2_paired

Fastq data : see sup. table 1 (MER-15-0195) for more detail

SNP_rice_HET50-MINFREQ-0

n calling SNP on Oryza glaberima (enriched, genomic and LRPCR libraries) with Mpileup -Bg and Varscan (min_freq_for_hom =0.5 and --min-var-freq 0

Pb-Podo5-R11T79_R1R2.fastq

Podococcus barteri Podo 5 sample - Long range PCR sequencing (MiSeq) - .bam file containing reads after mapping on the chloroplast genom