TY - JOUR
T1 - Characterizing Data Sharing in Civil Infrastructure Engineering
T2 - Current Practice, Future Vision, Barriers, and Promotion Strategies
AU - Wang, Yanyu
AU - Tang, Pingbo
AU - Liu, Kaijian
AU - Cai, Jiannan
AU - Ren, Ran
AU - Lin, Jacob J.
AU - Cai, Hubo
AU - Zhang, Jiansong
AU - El-Gohary, Nora
AU - Berges, Mario
AU - Golparvar Fard, Mani
N1 - Publisher Copyright:
© 2023 American Society of Civil Engineers.
PY - 2023/3/1
Y1 - 2023/3/1
N2 - Data sharing between different organizations is critical in supporting decision making in civil infrastructure engineering projects (e.g., transportation projects). Understanding the characteristics of data-sharing-related factors in civil infrastructure engineering is crucial for the civil engineering community to identify the priorities in promoting data sharing. The ASCE Data Sensing and Analysis (DSA) Committee initiated an investigation on data-sharing barriers in civil infrastructure engineering. This work produced (1) a classification of data-collection and data-use contexts in the domain of civil infrastructure engineering; (2) a comprehensive classification of data-sharing barriers and data-sharing promotion strategies in this domain; and (3) a synthesis of the opinions about the current practices, future vision, barriers, and data-sharing promotion strategies from civil infrastructure professionals and researchers using an online survey. The survey results revealed that (1) more data-sharing activities are occurring within the organizations, such as academia, government agencies, and for-profit corporations, compared with data exchanges among these communities; (2) "if there is a cost sharing in the data sharing,"is the condition that makes data providers more willing to share data with others; and (3) compared with technology improvements, the protocol of data sharing in the business domain has more potential in promoting data sharing. Meanwhile, this research identified the top five priorities among 20 data-sharing promotion strategies, which are protocol in industry and organization, data-standard regulation, data validity, data security protection, and large-scale data-sharing technology. These five priorities play critical roles in a roadmap showing how policy, business models, and technical solutions should cooperate to promote data sharing in civil infrastructure engineering.
AB - Data sharing between different organizations is critical in supporting decision making in civil infrastructure engineering projects (e.g., transportation projects). Understanding the characteristics of data-sharing-related factors in civil infrastructure engineering is crucial for the civil engineering community to identify the priorities in promoting data sharing. The ASCE Data Sensing and Analysis (DSA) Committee initiated an investigation on data-sharing barriers in civil infrastructure engineering. This work produced (1) a classification of data-collection and data-use contexts in the domain of civil infrastructure engineering; (2) a comprehensive classification of data-sharing barriers and data-sharing promotion strategies in this domain; and (3) a synthesis of the opinions about the current practices, future vision, barriers, and data-sharing promotion strategies from civil infrastructure professionals and researchers using an online survey. The survey results revealed that (1) more data-sharing activities are occurring within the organizations, such as academia, government agencies, and for-profit corporations, compared with data exchanges among these communities; (2) "if there is a cost sharing in the data sharing,"is the condition that makes data providers more willing to share data with others; and (3) compared with technology improvements, the protocol of data sharing in the business domain has more potential in promoting data sharing. Meanwhile, this research identified the top five priorities among 20 data-sharing promotion strategies, which are protocol in industry and organization, data-standard regulation, data validity, data security protection, and large-scale data-sharing technology. These five priorities play critical roles in a roadmap showing how policy, business models, and technical solutions should cooperate to promote data sharing in civil infrastructure engineering.
KW - Civil infrastructure engineering
KW - Data sharing
KW - Data-sharing promotion
UR - http://www.scopus.com/inward/record.url?scp=85145969806&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85145969806&partnerID=8YFLogxK
U2 - 10.1061/JCCEE5.CPENG-5077
DO - 10.1061/JCCEE5.CPENG-5077
M3 - Article
AN - SCOPUS:85145969806
SN - 0887-3801
VL - 37
JO - Journal of Computing in Civil Engineering
JF - Journal of Computing in Civil Engineering
IS - 2
M1 - 04023001-1
ER -