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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Main Authors: Tommi Inkinen, Reima Helminen, Janne Saarikoski
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Journal of Open Innovation: Technology, Market and Complexity
Subjects:
Online Access:https://www.mdpi.com/2199-8531/5/2/30
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spelling 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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