Data Discovery for Digital Building Logbook (DBL): Directly Implementing and Enabling a Smarter Urban Built Environment

Digital Building Logbooks (DBLs) are the EU repositories for all building-related data. Logbook implementation conveys challenges, but it must be recognised that relevant things already exist. This article bridges the gap at the data discovery level by assessing the existing data and comparing it wi...

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Main Authors: Pedro Mêda, Diego Calvetti, Hipólito Sousa, Joaquim Moreira
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Urban Science
Subjects:
Online Access:https://www.mdpi.com/2413-8851/8/4/160
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author Pedro Mêda
Diego Calvetti
Hipólito Sousa
Joaquim Moreira
author_facet Pedro Mêda
Diego Calvetti
Hipólito Sousa
Joaquim Moreira
author_sort Pedro Mêda
collection DOAJ
description Digital Building Logbooks (DBLs) are the EU repositories for all building-related data. Logbook implementation conveys challenges, but it must be recognised that relevant things already exist. This article bridges the gap at the data discovery level by assessing the existing data and comparing it with EU DBL studies. Action research is the methodology, employing Portugal as an example. A deductive approach and interpretivism are used, supporting the data discovery journey. When evaluating existing datasets with DBL EU guidelines data requirements, the findings demonstrate a match from 90.6% to 82.6%, depending on the level: cadastral parcel, building or building unit. Several additional observed datasets suit the DBL framework, constituting a path for future research. Insights into the dataset landscape from a specific perspective are offered. Given the deliverables’ characteristics, the study results can be generalised. The data discovery journey led to the understanding that duplicates and inconsistencies exist. A strategic approach for data sharing, governance and usage should be established to solve them, increasing digital maturity, integration and interoperability. Revising the legal framework is found to be paramount. Working from the existing elements and aligning them with data space assumptions can make DBL implementation more straightforward.
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spelling doaj-art-a18879fd6b82467994bb5cd9fa07821e2025-08-20T02:43:54ZengMDPI AGUrban Science2413-88512024-09-018416010.3390/urbansci8040160Data Discovery for Digital Building Logbook (DBL): Directly Implementing and Enabling a Smarter Urban Built EnvironmentPedro Mêda0Diego Calvetti1Hipólito Sousa2Joaquim Moreira3CONSTRUCT/GEQUALTEC, Faculty of Engineering, University of Porto, 4200-465 Porto, PortugalCONSTRUCT/GEQUALTEC, Faculty of Engineering, University of Porto, 4200-465 Porto, PortugalCONSTRUCT/GEQUALTEC, Faculty of Engineering, University of Porto, 4200-465 Porto, PortugalICS—Institute for Sustainable Construction, 4200-465 Porto, PortugalDigital Building Logbooks (DBLs) are the EU repositories for all building-related data. Logbook implementation conveys challenges, but it must be recognised that relevant things already exist. This article bridges the gap at the data discovery level by assessing the existing data and comparing it with EU DBL studies. Action research is the methodology, employing Portugal as an example. A deductive approach and interpretivism are used, supporting the data discovery journey. When evaluating existing datasets with DBL EU guidelines data requirements, the findings demonstrate a match from 90.6% to 82.6%, depending on the level: cadastral parcel, building or building unit. Several additional observed datasets suit the DBL framework, constituting a path for future research. Insights into the dataset landscape from a specific perspective are offered. Given the deliverables’ characteristics, the study results can be generalised. The data discovery journey led to the understanding that duplicates and inconsistencies exist. A strategic approach for data sharing, governance and usage should be established to solve them, increasing digital maturity, integration and interoperability. Revising the legal framework is found to be paramount. Working from the existing elements and aligning them with data space assumptions can make DBL implementation more straightforward.https://www.mdpi.com/2413-8851/8/4/160buildingscadastral parcelsstatistical datatwin transitionGreen Dealdata spaces
spellingShingle Pedro Mêda
Diego Calvetti
Hipólito Sousa
Joaquim Moreira
Data Discovery for Digital Building Logbook (DBL): Directly Implementing and Enabling a Smarter Urban Built Environment
Urban Science
buildings
cadastral parcels
statistical data
twin transition
Green Deal
data spaces
title Data Discovery for Digital Building Logbook (DBL): Directly Implementing and Enabling a Smarter Urban Built Environment
title_full Data Discovery for Digital Building Logbook (DBL): Directly Implementing and Enabling a Smarter Urban Built Environment
title_fullStr Data Discovery for Digital Building Logbook (DBL): Directly Implementing and Enabling a Smarter Urban Built Environment
title_full_unstemmed Data Discovery for Digital Building Logbook (DBL): Directly Implementing and Enabling a Smarter Urban Built Environment
title_short Data Discovery for Digital Building Logbook (DBL): Directly Implementing and Enabling a Smarter Urban Built Environment
title_sort data discovery for digital building logbook dbl directly implementing and enabling a smarter urban built environment
topic buildings
cadastral parcels
statistical data
twin transition
Green Deal
data spaces
url https://www.mdpi.com/2413-8851/8/4/160
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