Adding value to Linked Open Data using a multidimensional model approach based on the RDF Data Cube vocabulary

Escobar, Pilar; Candela, Gustavo; Trujillo, Juan; Such, Manuel Marco; Peral, Jesús

doi:10.1016/j.csi.2019.103378

Cited by 17 publications

(9 citation statements)

References 33 publications

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“…However, data providers fail in delivering data satisfying the principle of timeliness [15,[19][20][21][22][23][24][25]. This is even more crucial for medicine-related open data (also proved by the number of studies conducted on a timeliness, including the above [21][22][23][24]), since the more timely the data source has the potential to be used in early warning systems that could lead to the early deployment of different solutions bringing benefits to society, including antiviral therapy and vaccination campaigns (see [26]).…”

Section: The Rationale For the Studymentioning

confidence: 99%

Timeliness of Open Data in Open Government Data Portals Through Pandemic-related Data: a long data way from the publisher to the user

Nikiforova

2020

2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA)

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The paper addresses the "timeliness" of data in open government data (OGD) portals. It is one of the primary principles of open data, which is considered to be a success factor, while at the same time it is one of the biggest barriers that can disrupt users trust in data and even the desire to use the entire open data portal. However, assessing this aspect is a very difficult task that, in most cases, becomes an impossible for open data users. There is therefore a lack of comparative studies on the timeliness of data of different national open data portals. Unfortunately, 2020 gave the opportunity to find out this. It became easy enough to compare how long is the data path from the data holder to the OGD portal by analysing the timeliness of Covid-19-related data sets in relation to the first case observed in a country. The study thus fills the gap of comparative studies by addressing 60 countries and their OGD portals concerning the timeliness of the data, providing a report on how much and what countries provide the open data as quickly as possible. It makes it possible to understand how quickly OGD portals react to emergencies by opening and updating data for their further potential reuse, which is essential in the digital data-driven world.

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Section: The Rationale For the Studymentioning

confidence: 99%

Timeliness of Open Data in Open Government Data Portals Through Pandemic-related Data: a long data way from the publisher to the user

Nikiforova

2020

2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA)

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“…Timeliness is defined as “made available as quickly as necessary to preserve the value of the data” [ 55 ]. However, reality shows that this is a challenge for data publishers and portal holders, although this affects user’s intention to use open data and the all open data portal [ 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 ]—users become less likely to create open data-based services if a lack of this principle is observed [ 65 ].…”

Section: Resultsmentioning

confidence: 99%

Smarter Open Government Data for Society 5.0: Are Your Open Data Smart Enough?

Nikiforova

2021

Sensors

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Nowadays, governments launch open government data (OGD) portals that provide data that can be accessed and used by everyone for their own needs. Although the potential economic value of open (government) data is assessed in millions and billions, not all open data are reused. Moreover, the open (government) data initiative as well as users’ intent for open (government) data are changing continuously and today, in line with IoT and smart city trends, real-time data and sensor-generated data have higher interest for users. These “smarter” open (government) data are also considered to be one of the crucial drivers for the sustainable economy, and might have an impact on information and communication technology (ICT) innovation and become a creativity bridge in developing a new ecosystem in Industry 4.0 and Society 5.0. The paper inspects OGD portals of 60 countries in order to understand the correspondence of their content to the Society 5.0 expectations. The paper provides a report on how much countries provide these data, focusing on some open (government) data success facilitating factors for both the portal in general and data sets of interest in particular. The presence of “smarter” data, their level of accessibility, availability, currency and timeliness, as well as support for users, are analyzed. The list of most competitive countries by data category are provided. This makes it possible to understand which OGD portals react to users’ needs, Industry 4.0 and Society 5.0 request the opening and updating of data for their further potential reuse, which is essential in the digital data-driven world.

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“…Named Entity Recognition). 36,37 While Open Refine supports reproducible research, exported sequences of operations do not include any edits made manually to individual cells. 38 In addition, Open Refine runs locally -not in the cloud-using a browser, but no web connection is needed.…”

Section: Methodologies and Best Practices For Publishing Datasetsmentioning

confidence: 99%

Reusing digital collections from GLAM institutions

Candela

Esteban

Such

2020

Journal of Information Science

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For some decades now, Galleries, Libraries, Archives and Museums (GLAM) institutions have published and provided access to information resources in digital format. Recently, innovative approaches have appeared such as the concept of Labs within GLAM institutions that facilitates the adoption of innovative and creative tools for content delivery and user engagement. In addition, new methods have been proposed to address the publication of digital collections as data sets amenable to computational use. In this article, we propose a methodology to create machine actionable collections following a set of steps. This methodology is then applied to several use cases based on data sets published by relevant GLAM institutions. It intends to encourage institutions to adopt the publication of data sets that support computationally driven research as a core activity.

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Adding value to Linked Open Data using a multidimensional model approach based on the RDF Data Cube vocabulary

Cited by 17 publications

References 33 publications

Timeliness of Open Data in Open Government Data Portals Through Pandemic-related Data: a long data way from the publisher to the user

Timeliness of Open Data in Open Government Data Portals Through Pandemic-related Data: a long data way from the publisher to the user

Smarter Open Government Data for Society 5.0: Are Your Open Data Smart Enough?

Reusing digital collections from GLAM institutions

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