Port Digitalization with Open Data: Challenges, Opportunities, and Integrations
Digitalization is frequently addressed in recent economic and social scientific literature. This paper applies a distinction to digital data (raw data) and digital technologies (including both software platforms and hardware solutions). The open data is defined as follows: it is publicly available a...
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doaj-07ed521a25144f3392f548b33a3b34212020-11-24T21:32:33ZengMDPI AGJournal of Open Innovation: Technology, Market and Complexity2199-85312019-05-01523010.3390/joitmc5020030joitmc5020030Port Digitalization with Open Data: Challenges, Opportunities, and IntegrationsTommi Inkinen0Reima Helminen1Janne Saarikoski2Centre for Maritime Studies, Brahea Centre, University of Turku, FI-20014 Turun yliopisto, FinlandCentre for Maritime Studies, Brahea Centre, University of Turku, FI-20014 Turun yliopisto, FinlandKotka Maritime Research Association, Keskuskatu 10, 48100 Kotka, FinlandDigitalization is frequently addressed in recent economic and social scientific literature. This paper applies a distinction to digital data (raw data) and digital technologies (including both software platforms and hardware solutions). The open data is defined as follows: it is publicly available and non-chargeable data (information content) that is machine readable. Open data enables software and application development for external partners and users. A common feature in open-data applications is location-based identification (e.g., real-time traffic monitoring). These include spatial map visualizations, and monitoring of traffic and modes of transport. This visualized information provides additional support for data-based decision-making and management as these study results indicate. This information is valuable particularly in the decisions concerning unconventional and sudden events. This research indicates that the most suitable data resources for opening include information related to port transport infrastructure. In terms of temporal monitoring, static road and rail data is currently the most potential alternative for open data in ports. The main reasons are that these data sources are already at least partly published. However, they are not always in open-data formats. Static data is also a grounded starting point because the technical requirements are much less demanding in comparison to real-time data-processing and managementhttps://www.mdpi.com/2199-8531/5/2/30port managementopen datadigitalizationopen innovationtransport infrastructure |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tommi Inkinen Reima Helminen Janne Saarikoski |
spellingShingle |
Tommi Inkinen Reima Helminen Janne Saarikoski Port Digitalization with Open Data: Challenges, Opportunities, and Integrations Journal of Open Innovation: Technology, Market and Complexity port management open data digitalization open innovation transport infrastructure |
author_facet |
Tommi Inkinen Reima Helminen Janne Saarikoski |
author_sort |
Tommi Inkinen |
title |
Port Digitalization with Open Data: Challenges, Opportunities, and Integrations |
title_short |
Port Digitalization with Open Data: Challenges, Opportunities, and Integrations |
title_full |
Port Digitalization with Open Data: Challenges, Opportunities, and Integrations |
title_fullStr |
Port Digitalization with Open Data: Challenges, Opportunities, and Integrations |
title_full_unstemmed |
Port Digitalization with Open Data: Challenges, Opportunities, and Integrations |
title_sort |
port digitalization with open data: challenges, opportunities, and integrations |
publisher |
MDPI AG |
series |
Journal of Open Innovation: Technology, Market and Complexity |
issn |
2199-8531 |
publishDate |
2019-05-01 |
description |
Digitalization is frequently addressed in recent economic and social scientific literature. This paper applies a distinction to digital data (raw data) and digital technologies (including both software platforms and hardware solutions). The open data is defined as follows: it is publicly available and non-chargeable data (information content) that is machine readable. Open data enables software and application development for external partners and users. A common feature in open-data applications is location-based identification (e.g., real-time traffic monitoring). These include spatial map visualizations, and monitoring of traffic and modes of transport. This visualized information provides additional support for data-based decision-making and management as these study results indicate. This information is valuable particularly in the decisions concerning unconventional and sudden events. This research indicates that the most suitable data resources for opening include information related to port transport infrastructure. In terms of temporal monitoring, static road and rail data is currently the most potential alternative for open data in ports. The main reasons are that these data sources are already at least partly published. However, they are not always in open-data formats. Static data is also a grounded starting point because the technical requirements are much less demanding in comparison to real-time data-processing and management |
topic |
port management open data digitalization open innovation transport infrastructure |
url |
https://www.mdpi.com/2199-8531/5/2/30 |
work_keys_str_mv |
AT tommiinkinen portdigitalizationwithopendatachallengesopportunitiesandintegrations AT reimahelminen portdigitalizationwithopendatachallengesopportunitiesandintegrations AT jannesaarikoski portdigitalizationwithopendatachallengesopportunitiesandintegrations |
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1725957057278902272 |