Article
Computer Science, Information Systems
Javier Nogueras-Iso, Javier Lacasta, Manuel Antonio Urena-Camara, Francisco Javier Ariza-Lopez
Summary: In recent years, many institutions have launched Open Data initiatives, enabling broader access and utilization of large datasets. While open source platforms have simplified the setup of Open Data portals, few approaches have analyzed how metadata precisely describes related datasets. This research extends a method for checking the quality of geographic metadata to the context of Open Data metadata, aiming to improve metadata quality assessment in the Open Data domain.
Article
Computer Science, Artificial Intelligence
Riccardo Albertoni, Antoine Isaac
Summary: This paper provides an in-depth understanding of the Data Quality Vocabulary (DQV), discussing its key design principles, components, and comparing it to previous quality documentation vocabularies. It also demonstrates the early uptake of DQV through collected tools, papers, and projects that have utilized and extended it.
Article
Computer Science, Information Systems
Fahima Amin Bhuyan, Shiyong Lu, Robert Reynolds, Jia Zhang, Ishtiaq Ahmed
Summary: The concept of collaborative scientific workflow is introduced to meet the growing demand for collaborative data analytics. Access control policies are essential in collaborative environments for controlling the sharing of workflows, data products, and provenance information among collaborators. This paper proposes a role-based access control model for scientific workflow provenance and defines three quality requirements for access control policies. Additionally, a mapping mechanism is developed to preserve the quality properties of workflow provenance, and a case study on autism behavioral data analysis demonstrates the feasibility of the proposed analysis algorithms.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Article
Computer Science, Information Systems
Guillem Closa, Joan Maso, Nuria Julia, Xavier Pons
Summary: This paper discusses the application of lineage information in geospatial data, proposing an extension of process step lineage descriptions and introducing a system for providing lineage information as a service. By including functionalities and algorithm descriptions in lineage, the paper suggests a way to enhance the high-level information independently from software details and transform processing steps into reusable workflows.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Oncology
Jasmin Carus, Leona Truebe, Philip Szczepanski, Sylvia Nuernberg, Hanna Hees, Stefan Bartels, Alice Nennecke, Frank Ueckert, Christopher Gundler
Summary: In the German healthcare system, all parties are required to report tumor patient information to cancer registries. However, the use of different software solutions leads to data heterogeneity, making research networks and analysis difficult. This study evaluated the transferability of oncological data to a standardized vocabulary, promoting semantic interoperability and participation in international studies.
Article
Chemistry, Multidisciplinary
Ingrid Hasenkopf, Robert Mills-Goodlet, Litty Johnson, Ian Rouse, Mark Geppert, Albert Duschl, Dieter Maier, Vladimir Lobaskin, Iseult Lynch, Martin Himly
Summary: Extensive investigation and characterisation of nanoparticle-protein conjugates are important for assessing potential hazards and predicting biological effects. The development of in silico modelling tools can provide alternative approaches and accelerate risk assessment. This study validates emerging in silico protein corona models and provides recommendations for improvement.
Article
Information Science & Library Science
Kazumi Tomoyose, Ana Carolina Simionato Arakaki
Summary: Research data is important for scientific development, and using metadata vocabularies is essential for improving the access and retrieval of datasets. The Data Catalog Vocabulary (DCAT) provides a standardized way to represent research data, enhancing findability and interoperability.
CATALOGING & CLASSIFICATION QUARTERLY
(2022)
Article
Biology
Mariya Dimitrova, Raissa Meyer, Pier Luigi Buttigieg, Teodor Georgiev, Georgi Zhelezov, Seyhan Demirov, Vincent Smith, Lyubomir Penev
Summary: The omics data paper introduces a new article structure and template to enhance data quality and usability by describing omics datasets and methodologies. Importing genomics metadata into the manuscript through publication and review processes enhances existing metadata.
Article
Engineering, Multidisciplinary
Haiyang Yu, Qi Hu, Zhen Yang, Huan Liu
Summary: Decentralized storage powered by blockchain is a new trend, but unqualified storage providers may face security threats, requiring continuous data integrity to be guaranteed, which can incur heavy burdens of both communication and computation.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Telecommunications
Fawaz Alyami, Saad Almutairi
Summary: Research on data integrity, particularly in the field of big data, is crucial for ensuring the accuracy and validity of data. There is a significant need for a general system to validate the integrity of big data, taking into account processing speed and verification accuracy. The study is based on Python programming language, real test data, and the use of the latest technologies and programming languages.
WIRELESS PERSONAL COMMUNICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Madjid Tavana, Mehdi Soltanifar, Francisco J. Santos-Arteaga, Hamid Sharafi
Summary: Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) are decision science methods used in business, science, and engineering. AHP is used for prioritizing alternatives, while DEA estimates production frontiers. This study proposes hybrid MADM-DEA models that combine the strengths of AHP with DEA to address the weaknesses of conventional DEA methods and improve discrimination power. The effectiveness of the proposed models is demonstrated through numerical examples and a real-world problem, showing high correlation with benchmark models and consensus rankings.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Alfonso Quarati, Monica De Martino, Sergio Rosim
Summary: This research aims to provide an overview of the usage of Open Government Data portals, measured in terms of datasets views and downloads, and assess the possible influence of metadata quality on the use of geospatial datasets. The results show a significant underutilization of geospatial datasets and a generally poor quality of their metadata, with a weak correlation between use and metadata quality.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Computer Science, Software Engineering
Arpit Narechania, Adam Coscia, Emily Wall, Alex Endert
Summary: This article introduces Lumos, a visual data analysis tool that increases users' awareness of analytic behaviors by capturing and showing the interaction history. Using in-situ and ex-situ visualization techniques, Lumos provides real-time feedback to users, promoting reflection and acknowledgement of their intentions, potentially influencing subsequent interactions.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Nursing
Zhiyun Shen, Wei Qin, Li Zhu, Ying Lin, Huaxing Ling, Yuxia Zhang
Summary: This study aimed to develop a set of nursing-sensitive quality indicators (NSQIs) for evaluating nursing quality in cardiac catheterisation. Through literature retrieval, expert discussions, and Delphi surveys, primary and secondary indicators were identified and consensus was reached. The findings revealed the establishment of NSQIs for cardiac catheterisation, with the need for further validation in clinical practice to assess their impact on nursing quality evaluation and continuous improvement.
JOURNAL OF CLINICAL NURSING
(2022)
Article
Chemistry, Multidisciplinary
Zan Zhu, Jianqi Wang, Yating Zhu, Qiran Chen, Xinyu Liang
Summary: This research applies the Analytic Hierarchy Process (AHP) evaluation method to the management and decision-making of UAV oblique photography monomer modeling, aiming to improve the balance between model quality and production efficiency.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Alfonso Quarati, Juliana E. Raffaghelli
Summary: Open research data (ORD) are important for scientific transparency, but they often suffer from low usage due to data friction. This study analyzed ORD published on the Figshare repository and found that most ORD are underutilized regardless of their metadata quality.
JOURNAL OF INFORMATION SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Riccardo Albertoni, Antoine Isaac
Summary: This paper provides an in-depth understanding of the Data Quality Vocabulary (DQV), discussing its key design principles, components, and comparing it to previous quality documentation vocabularies. It also demonstrates the early uptake of DQV through collected tools, papers, and projects that have utilized and extended it.
Article
Computer Science, Information Systems
Alfonso Quarati, Monica De Martino, Sergio Rosim
Summary: This research aims to provide an overview of the usage of Open Government Data portals, measured in terms of datasets views and downloads, and assess the possible influence of metadata quality on the use of geospatial datasets. The results show a significant underutilization of geospatial datasets and a generally poor quality of their metadata, with a weak correlation between use and metadata quality.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Computer Science, Information Systems
Alfonso Quarati
Summary: Open Government Data (OGD) have the potential to support social and economic progress, but this potential may not be realized if these data remain unused. Through analysis of 400,000 data sets from 28 national, municipal, and international OGD portals, it was found that most OGD data sets are underutilized and there is variation in the attention given to metadata quality by OGD portals. However, there is no clear evidence of a positive correlation between data set usage and better metadata publishing practices.
JOURNAL OF INFORMATION SCIENCE
(2023)
Article
Computer Science, Information Systems
Lorenza Apicella, Monica De Martino, Alfonso Quarati
Summary: The European Programme Copernicus aims to sustain social and economic advancements to the European Union by providing free and open Earth Observation data. User Uptake initiatives have been undertaken to increase awareness and competencies of Copernicus, supporting the development of downstream applications. This article presents application scenario workflows and practical recommendations to promote the use of Copernicus resources and improve data providers' publication practices.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Environmental Sciences
Massimo Bernardis, Roberto Nardini, Lorenza Apicella, Maurizio Demarte, Matteo Guideri, Bianca Federici, Alfonso Quarati, Monica De Martino
Summary: Despite the limitations of conventional acoustic hydrographic systems and airborne LiDAR, remote sensing provides a fast, reproducible, and low-cost alternative for mapping shallow-water bathymetry. Satellite-derived bathymetry (SDB) has shown promise in providing depth information, although it typically requires in situ observations for calibration and validation. This paper demonstrates the potential for deriving bathymetry solely from open satellite data, using multispectral images from Sentinel-2 and bathymetric data from NASA's ICESat-2.
Article
Engineering, Marine
Lorenza Apicella, Monica De Martino, Ilaria Ferrando, Alfonso Quarati, Bianca Federici
Summary: Bathymetric surveys in shallow waters are important for navigational safety and environmental studies. In situ surveys with floating acoustic sensors provide high-accuracy data, but are often unfeasible or expensive. Advances in optical imaging from UAVs, aircraft, and satellites allow for bathymetric reconstruction using algorithms. This study applied a reconstruction procedure to orthophotos and Sentinel-2 images, with aircraft-derived bathymetry showing higher accuracy compared to UAV-derived and Sentinel-2 data.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Proceedings Paper
Computer Science, Theory & Methods
Lorenza Apicella, Alfonso Quarati, Silvia Gorni, Roderic Molina, Monica De Martino
Summary: This paper introduces the progress of the EO-UPTAKE project, which aims to bridge the skills gap between intermediate and end-users and promote the use and integration of Copernicus data and services.
GEOMATICS AND GEOSPATIAL TECHNOLOGIES, ASITA 2021
(2022)
Proceedings Paper
Computer Science, Information Systems
Lorenza Apicella, Alfonso Quarati, Monica De Martino
Summary: The article focuses on how to ensure that European citizens, companies, and public administrations fully grasp the great opportunities offered by Copernicus satellite data, as well as how initiatives are implemented to promote their application and disseminate the results. It discusses the study of the Urban Heat Island effect, highlighting the strengths and weaknesses in the use of Copernicus data and services, aiming to provide guidelines for analyzing similar phenomena in other urban contexts.
ELECTRONIC GOVERNMENT AND THE INFORMATION SYSTEMS PERSPECTIVE, EGOVIS 2021
(2021)
