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2,157 Results Found

  • Article
  • Open Access
5 Citations
2,130 Views
22 Pages

A FAIR Perspective on Data Quality Frameworks

  • Nicholas Nicholson,
  • Raquel Negrao Carvalho and
  • Iztok Štotl

23 August 2025

Despite considerable effort and analysis over the last two to three decades, no integrated scenario yet exists for data quality frameworks. Currently, the choice is between several frameworks dependent upon the type and use of data. While the framewo...

  • Article
  • Open Access
51 Citations
7,879 Views
14 Pages

With the increasing reliance on automated decision making, the issue of algorithmic fairness has gained increasing importance. In this paper, we propose a Generative Adversarial Network for tabular data generation. The model includes two phases of tr...

  • Article
  • Open Access
9 Citations
5,672 Views
16 Pages

Managing FAIR Tribological Data Using Kadi4Mat

  • Nico Brandt,
  • Nikolay T. Garabedian,
  • Ephraim Schoof,
  • Paul J. Schreiber,
  • Philipp Zschumme,
  • Christian Greiner and
  • Michael Selzer

25 January 2022

The ever-increasing amount of data generated from experiments and simulations in engineering sciences is relying more and more on data science applications to generate new knowledge. Comprehensive metadata descriptions and a suitable research data in...

  • Article
  • Open Access
1 Citations
909 Views
24 Pages

5 December 2025

Background/Objectives: The FAIR (Findable, Accessible, Interoperable, and Reusable) data principles are guidelines for managing data assets. While applied globally, no prior research has examined healthcare professionals’ perceptions and awaren...

  • Article
  • Open Access
44 Citations
6,262 Views
13 Pages

24 October 2019

In the big data era, data are envisioned as critical resources with various values, e.g., business intelligence, management efficiency, and financial evaluations. Data sharing is always mandatory for value exchanges and profit promotion. Currently, c...

  • Article
  • Open Access
5 Citations
4,337 Views
27 Pages

Techniques to Improve B2B Data Governance Using FAIR Principles

  • Cristina Georgiana Calancea and
  • Lenuța Alboaie

Sharing data along the economic supply/demand chain represents a catalyst to improve the performance of a digitized business sector. In this context, designing automatic mechanisms for structured data exchange, that should also ensure the proper deve...

  • Article
  • Open Access
11 Citations
6,713 Views
18 Pages

DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles

  • Priya Deshpande,
  • Alexander Rasin,
  • Jacob Furst,
  • Daniela Raicu and
  • Sameer Antani

20 April 2019

Vast amounts of clinical and biomedical research data are produced daily. These data can help enable data driven healthcare through novel biomedical discoveries, improved diagnostics processes, epidemiology, and education. However, finding, and gaini...

  • Article
  • Open Access
77 Citations
12,501 Views
17 Pages

FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units

  • Koenraad De Smedt,
  • Dimitris Koureas and
  • Peter Wittenburg

Data science is facing the following major challenges: (1) developing scalable cross-disciplinary capabilities, (2) dealing with the increasing data volumes and their inherent complexity, (3) building tools that help to build trust, (4) creating mech...

  • Review
  • Open Access
34 Citations
7,190 Views
17 Pages

21 February 2022

Feeding a growing global population requires improving agricultural production in the face of multidimensional challenges; and digital agriculture is increasingly seen as a strategy for better decision making. Agriculture and agricultural supply chai...

  • Article
  • Open Access
5,133 Views
36 Pages

The perceived need to improve the infrastructure supporting the re-use of scholarly data since the second decade of the 21st century led to the design of a concise number of principles and metrics, named FAIR Data Principles. This paper, part of an e...

  • Review
  • Open Access
2 Citations
7,289 Views
40 Pages

Data Quality in the Age of AI: A Review of Governance, Ethics, and the FAIR Principles

  • Miriam Guillen-Aguinaga,
  • Enrique Aguinaga-Ontoso,
  • Laura Guillen-Aguinaga,
  • Francisco Guillen-Grima and
  • Ines Aguinaga-Ontoso

4 December 2025

Data quality is fundamental to scientific integrity, reproducibility, and evidence-based decision-making. Nevertheless, many datasets lack transparency in their collection and curation, undermining trust and reusability across research domains. This...

  • Review
  • Open Access
22 Citations
9,087 Views
33 Pages

Enhancing FAIR Data Services in Agricultural Disaster: A Review

  • Lei Hu,
  • Chenxiao Zhang,
  • Mingda Zhang,
  • Yuming Shi,
  • Jiasheng Lu and
  • Zhe Fang

11 April 2023

The agriculture sector is highly vulnerable to natural disasters and climate change, leading to severe impacts on food security, economic stability, and rural livelihoods. The use of geospatial information and technology has been recognized as a valu...

  • Article
  • Open Access
5 Citations
4,508 Views
16 Pages

Trecode: A FAIR Eco-System for the Analysis and Archiving of Omics Data in a Combined Diagnostic and Research Setting

  • Hindrik HD Kerstens,
  • Jayne Y Hehir-Kwa,
  • Ellen van de Geer,
  • Chris van Run,
  • Shashi Badloe,
  • Alex Janse,
  • John Baker-Hernandez,
  • Sam de Vos,
  • Douwe van der Leest and
  • Patrick Kemmeren
  • + 2 authors

The increase in speed, reliability, and cost-effectiveness of high-throughput sequencing has led to the widespread clinical application of genome (WGS), exome (WXS), and transcriptome analysis. WXS and RNA sequencing is now being implemented as the s...

  • Review
  • Open Access
680 Views
22 Pages

Gaps and Pathways Towards Standardized, FAIR Microplastics Data Harmonization: A Systematic Review

  • Ebenezer S. Nyadjro,
  • Just Cebrian,
  • T. Erin Cox,
  • Zhankun Wang,
  • Yee H. Lau,
  • Anastasia M. Konefal,
  • Gray Turnage,
  • Tia Offner,
  • Rebecca Gilpin and
  • Jennifer A. B. Webster
  • + 4 authors

The global proliferation of plastics and their degradation into microplastics (<5 mm) have created a pervasive environmental crisis with severe ecological and human health consequences. Despite the exponential growth in microplastic research over...

  • Article
  • Open Access
56 Citations
8,503 Views
49 Pages

Metadata Stewardship in Nanosafety Research: Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data

  • Anastasios G. Papadiamantis,
  • Frederick C. Klaessig,
  • Thomas E. Exner,
  • Sabine Hofer,
  • Norbert Hofstaetter,
  • Martin Himly,
  • Marc A. Williams,
  • Philip Doganis,
  • Mark D. Hoover and
  • Iseult Lynch
  • + 5 authors

15 October 2020

The emergence of nanoinformatics as a key component of nanotechnology and nanosafety assessment for the prediction of engineered nanomaterials (NMs) properties, interactions, and hazards, and for grouping and read-across to reduce reliance on animal...

  • Article
  • Open Access
3 Citations
3,462 Views
17 Pages

16 May 2024

The heritage science sector is facing a critical need for accessible and comprehensive data resources to facilitate research, preservation efforts, and interdisciplinary collaboration. The concept of FAIR data management involves embracing principles...

  • Article
  • Open Access
13 Citations
3,681 Views
24 Pages

8 March 2023

Underwater acoustic channels are characterized by long propagation delay, limited available bandwidth and high energy costs. These unique characteristics bring challenges to design media access control (MAC) protocol for underwater acoustic sensor ne...

  • Article
  • Open Access
5 Citations
3,191 Views
20 Pages

10 September 2022

Energy transition deals with and starts from data and information, which are relevant for decision making and strategy implementation. Several stakeholders who deal with planning, energy management, and policy-making processes need findable, accessib...

  • Article
  • Open Access
831 Views
19 Pages

Perspectives on Research and Personalized Healthcare in the Context of Federated FAIR Data Based on an Exploratory Study by Medical Researchers

  • Elena Poenaru,
  • Monica Dugăeşescu,
  • Călin Poenaru,
  • Iulia Andrei-Bitere,
  • Livia-Cristiana Băicoianu-Niţescu,
  • Traian-Vasile Constantin,
  • Aurelian Zugravu,
  • Brandusa Bitel,
  • Maria Magdalena Constantin and
  • Smaranda Stoleru

11 November 2025

Background: Research in personalized medicine, with applications in oncology, dermatology, cardiology, urology, and general healthcare, requires facile and safe access to accurate data. Due to its particularly sensitive character, obtaining health-re...

  • Article
  • Open Access
7 Citations
1,931 Views
17 Pages

9 September 2024

Satellite imagery has become a major source for identifying and mapping terrestrial and planetary landforms. However, interpretating landforms and their significance, especially in changing environments, may still be questionable. Consequently, groun...

  • Abstract
  • Open Access
1,283 Views
2 Pages

Advancing Food Consumer Science to Facilitate Health and Sustainability Transitions: Bridging Complexity, Collaboration, and Ensuring FAIR Data

  • Ellen van Kleef,
  • Machiel Reinders,
  • Elena Horská,
  • Barbara Koroušić Seljak,
  • Liisa Lähteenmäki,
  • Lada Timotijevic and
  • Hans van Trijp

The nutritional quality of our diet depends on a number of repeated choices we make throughout the day. Understanding consumer behaviour in its full complexity and real-life context is essential for ensuring a sustainable food system that provides nu...

  • Article
  • Open Access
10 Citations
3,662 Views
15 Pages

30 April 2022

Zooplankton is a fundamental group in aquatic ecosystems representing the base of the food chain. It forms a link between the lower trophic levels with secondary consumers and shows marked fluctuations in populations with environmental change, especi...

  • Feature Paper
  • Article
  • Open Access
7 Citations
4,734 Views
12 Pages

FAIRness of Research Data in the European Humanities Landscape

  • Ljiljana Poljak Bilić and
  • Kristina Posavec

This paper explores the landscape of research data in the humanities in the European context, delving into their diversity and the challenges of defining and sharing them. It investigates three aspects: the types of data in the humanities, their repr...

  • Article
  • Open Access
6 Citations
5,456 Views
15 Pages

An Effective Fairness Scheme for Named Data Networking

  • Hammad Zafar,
  • Ziaul Haq Abbas,
  • Ghulam Abbas,
  • Fazal Muhammad,
  • Muhammad Tufail and
  • Sunghwan Kim

Named data networking (NDN) is a revolutionary approach to cater for modern and future Internet usage trends. The advancements in web services, social networks and cloud computing have shifted Internet utilization towards information delivery. Inform...

  • Article
  • Open Access
78 Citations
8,708 Views
21 Pages

The Problem of Fairness in Synthetic Healthcare Data

  • Karan Bhanot,
  • Miao Qi,
  • John S. Erickson,
  • Isabelle Guyon and
  • Kristin P. Bennett

4 September 2021

Access to healthcare data such as electronic health records (EHR) is often restricted by laws established to protect patient privacy. These restrictions hinder the reproducibility of existing results based on private healthcare data and also limit ne...

  • Article
  • Open Access
7 Citations
10,626 Views
19 Pages

To ensure seamless, programmatic access to data for High Performance Computing (HPC) and analysis across multiple research domains, it is vital to have a methodology for standardization of both data and services. At the Australian National Computatio...

  • Article
  • Open Access
32 Citations
6,719 Views
15 Pages

A Methodology for Controlling Bias and Fairness in Synthetic Data Generation

  • Enrico Barbierato,
  • Marco L. Della Vedova,
  • Daniele Tessera,
  • Daniele Toti and
  • Nicola Vanoli

4 May 2022

The development of algorithms, based on machine learning techniques, supporting (or even replacing) human judgment must take into account concepts such as data bias and fairness. Though scientific literature proposes numerous techniques to detect and...

  • Article
  • Open Access
11 Citations
4,302 Views
27 Pages

Lake reclamation for urban construction has caused serious damage to lakes in cities undergoing rapid urbanization. This process affects urban ecological environment and leads to inconsistent urban expansion, population surge, and uneven distribution...

  • Feature Paper
  • Article
  • Open Access
1 Citations
476 Views
37 Pages

27 December 2025

As low-carbon supply chains increasingly integrate green transition strategies with digital transformation, coordinating high-cost green technology investments with data-driven marketing (DDM) becomes a complex managerial task. While these dual inves...

  • Article
  • Open Access
880 Views
26 Pages

An Efficient and Fair Map-Data-Sharing Mechanism for Vehicular Networks

  • Kuan Fan,
  • Qingdong Liu,
  • Chuchu Liu,
  • Ning Lu and
  • Wenbo Shi

With the rapid advancement in artificial intelligence, autonomous driving has emerged as a prominent research frontier. Autonomous vehicles rely on high-precision high-definition map data, necessitating timely map updates by map companies to accurate...

  • Technical Note
  • Open Access
22 Citations
6,852 Views
16 Pages

Grapevine and Wine Metabolomics-Based Guidelines for FAIR Data and Metadata Management

  • Stefania Savoi,
  • Panagiotis Arapitsas,
  • Éric Duchêne,
  • Maria Nikolantonaki,
  • Ignacio Ontañón,
  • Silvia Carlin,
  • Florian Schwander,
  • Régis D. Gougeon,
  • António César Silva Ferreira and
  • Fulvio Mattivi
  • + 5 authors

3 November 2021

In the era of big and omics data, good organization, management, and description of experimental data are crucial for achieving high-quality datasets. This, in turn, is essential for the export of robust results, to publish reliable papers, make data...

  • Review
  • Open Access
33 Citations
7,917 Views
13 Pages

Big Data in Laboratory Medicine—FAIR Quality for AI?

  • Tobias Ueli Blatter,
  • Harald Witte,
  • Christos Theodoros Nakas and
  • Alexander Benedikt Leichtle

Laboratory medicine is a digital science. Every large hospital produces a wealth of data each day—from simple numerical results from, e.g., sodium measurements to highly complex output of “-omics” analyses, as well as quality contro...

  • Article
  • Open Access
7 Citations
3,692 Views
19 Pages

A Blockchain-Based Privacy-Preserving and Fair Data Transaction Model in IoT

  • Wei Zhou,
  • De Zhang,
  • Guangjie Han,
  • Wenyin Zhu and
  • Xupeng Wang

16 November 2023

The rapid development of the Internet of Things (IoT) has resulted in vast amounts of widely distributed data. Sharing these data can spur innovative advancements and enhance service quality. However, conventional data-sharing methods often involve t...

  • Article
  • Open Access
2 Citations
3,351 Views
7 Pages

21 July 2021

The Compressed Baryonic Matter experiment (CBM) at FAIR aims to study the area of the QCD phase diagram at high net baryon densities and moderate temperatures with collisions of heavy ions at sNN=2.8–4.9 GeV. The anisotropic transverse flow is one of...

  • Article
  • Open Access
8 Citations
3,655 Views
10 Pages

Applying the FAIR4Health Solution to Identify Multimorbidity Patterns and Their Association with Mortality through a Frequent Pattern Growth Association Algorithm

  • Jonás Carmona-Pírez,
  • Beatriz Poblador-Plou,
  • Antonio Poncel-Falcó,
  • Jessica Rochat,
  • Celia Alvarez-Romero,
  • Alicia Martínez-García,
  • Carmen Angioletti,
  • Marta Almada,
  • Mert Gencturk and
  • Alexandra Prados-Torres
  • + 9 authors

The current availability of electronic health records represents an excellent research opportunity on multimorbidity, one of the most relevant public health problems nowadays. However, it also poses a methodological challenge due to the current lack...

  • Technical Note
  • Open Access
26 Citations
3,971 Views
17 Pages

Robust and Fair Undersea Target Detection with Automated Underwater Vehicles for Biodiversity Data Collection

  • Ranjith Dinakaran,
  • Li Zhang,
  • Chang-Tsun Li,
  • Ahmed Bouridane and
  • Richard Jiang

1 August 2022

Undersea/subsea data collection via automated underwater vehicles (AUVs) plays an important role for marine biodiversity research, while it is often much more challenging than the data collection above ground via satellites or AUVs. To enable the aut...

  • Article
  • Open Access
2 Citations
2,864 Views
29 Pages

11 August 2022

Open data portals contain valuable information for citizens and business. However, searching for information can prove to be tiresome even in portals tackling domains similar information. A typical case is the information residing in the European Com...

  • Article
  • Open Access
2,831 Views
14 Pages

A Mediterranean Focus Overview of EU Marine Litter Data Management Performed in the Framework of the European Marine Observation and Data Network Chemistry

  • Maria Eugenia Molina Jack,
  • Alessandro Altenburger,
  • Gwenaël Caer,
  • Alexia Cociancich,
  • Tomaso Fortibuoni,
  • Francois Galgani,
  • Alessandra Giorgetti,
  • Elena Partescano,
  • Amandine Thomas and
  • Matteo Vinci

1 December 2023

The Mediterranean Sea is an almost completely closed basin connecting several countries. Its configuration leads to its peculiarity and richness, but the intensive activities within the basin and along the coast aggravate the ecological conditions. T...

  • Review
  • Open Access
13 Citations
6,827 Views
20 Pages

FAIR Metadata Standards for Low Carbon Energy Research—A Review of Practices and How to Advance

  • August Wierling,
  • Valeria Jana Schwanitz,
  • Sebnem Altinci,
  • Maria Bałazińska,
  • Michael J. Barber,
  • Mehmet Efe Biresselioglu,
  • Christopher Burger-Scheidlin,
  • Massimo Celino,
  • Muhittin Hakan Demir and
  • Nikola Vasiljevic
  • + 23 authors

15 October 2021

The principles of Findability, Accessibility, Interoperability, and Reusability (FAIR) have been put forward to guide optimal sharing of data. The potential for industrial and social innovation is vast. Domain-specific metadata standards are crucial...

  • Article
  • Open Access
21 Citations
5,226 Views
28 Pages

Establishing Reliable Research Data Management by Integrating Measurement Devices Utilizing Intelligent Digital Twins

  • Joel Lehmann,
  • Stefan Schorz,
  • Alessa Rache,
  • Tim Häußermann,
  • Matthias Rädle and
  • Julian Reichwald

1 January 2023

One of the main topics within research activities is the management of research data. Large amounts of data acquired by heterogeneous scientific devices, sensor systems, measuring equipment, and experimental setups have to be processed and ideally be...

  • Article
  • Open Access
13 Citations
8,184 Views
26 Pages

Remote Sensing for Property Valuation: A Data Source Comparison in Support of Fair Land Taxation in Rwanda

  • Mila Koeva,
  • Oscar Gasuku,
  • Monica Lengoiboni,
  • Kwabena Asiama,
  • Rohan Mark Bennett,
  • Jossam Potel and
  • Jaap Zevenbergen

8 September 2021

Remotely sensed data is increasingly applied across many domains, including fit-for-purpose land administration (FFPLA), where the focus is on fast, affordable, and accurate property information collection. Property valuation, as one of the main func...

  • Case Report
  • Open Access
1 Citations
1,835 Views
8 Pages

This report describes the experience in implementing the FAIR principles for the GoTriple Discovery Platform for Social Sciences and Humanities (SSH). It shows how adherence to FAIR should be considered as a continuous process throughout the entire l...

  • Article
  • Open Access
724 Views
30 Pages

25 November 2025

To address the issues of privacy-utility imbalance, insufficient incentives, and lack of verifiable computation in current medical data sharing, this paper proposes a blockchain-based fair verification and adaptive differential privacy mechanism. The...

  • Article
  • Open Access
376 Views
18 Pages

Cognitive diagnosis serves as a key component in personalized intelligent education, designed to accurately evaluate students’ knowledge states by analyzing their historical response data. It offers fundamental support for various educational a...

  • Review
  • Open Access
117 Citations
57,782 Views
33 Pages

13 September 2023

This article provides a comprehensive overview of the fairness issues in artificial intelligence (AI) systems, delving into its background, definition, and development process. The article explores the fairness problem in AI through practical applica...

  • Article
  • Open Access
1 Citations
3,726 Views
18 Pages

A Directory of Datasets for Mining Software Repositories

  • Themistoklis Diamantopoulos and
  • Andreas L. Symeonidis

20 February 2025

The amount of software engineering data is constantly growing, as more and more developers employ online services to store their code, keep track of bugs, or even discuss issues. The data residing in these services can be mined to address different r...

  • Article
  • Open Access
3 Citations
2,622 Views
21 Pages

A Photovoltaic System Model Integrating FAIR Digital Objects and Ontologies

  • Jan Schweikert,
  • Karl-Uwe Stucky,
  • Wolfgang Süß and
  • Veit Hagenmeyer

1 February 2023

Smart grids of the future will create and provide huge data volumes, which are subject to FAIR (Findable, Accessible, Interoperable, and Reusable) data management solutions when used within the scientific domain and for operation. FAIR Digital Object...

  • Article
  • Open Access
2 Citations
2,766 Views
13 Pages

Revolutions Take Time

  • Peter Wittenburg and
  • George Strawn

16 November 2021

The 2018 paper titled “Common Patterns in Revolutionary Infrastructures and Data” has been cited frequently, since we compared the current discussions about research data management with the developments of large infrastructures in the past believing...

  • Article
  • Open Access
650 Views
36 Pages

26 November 2025

Climate change intensifies agricultural risks, requiring an integrated analysis of climatic, hydrological, and crop data to support resilient farming. Despite advances in remote sensing, in-field sensors, and artificial intelligence, fragmented data...

  • Article
  • Open Access
9 Citations
6,073 Views
18 Pages

Leveraging Large Language Models for Sensor Data Retrieval

  • Alberto Berenguer,
  • Adriana Morejón,
  • David Tomás and
  • Jose-Norberto Mazón

15 March 2024

The growing significance of sensor data in the development of information technology services finds obstacles due to disparate data presentations and non-adherence to FAIR principles. This paper introduces a novel approach for sensor data gathering a...

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