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Published in 2019 at "Proceedings of the Association for Information Science and Technology"
DOI: 10.1002/pra2.93
Abstract: At the trajectory of exponential data growth and FAIR (Findable, Accessible, Interoperable and Reāusable) requirements, organizations face the data management and publishing challenges in support of effective data discovery and publishing activities. This panel brings…
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Keywords:
data principles;
technical policy;
underpinnings fair;
policy underpinnings ... See more keywords
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Published in 2024 at "Integrating Materials and Manufacturing Innovation"
DOI: 10.1007/s40192-024-00348-4
Abstract: The development and discovery of new materials can be significantly enhanced through the adoption of FAIR (Findable, Accessible, Interoperable, and Reusable) data principles and the establishment of a robust data infrastructure in support of materials…
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Keywords:
semantics;
data infrastructure;
use;
materials scientists ... See more keywords
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Published in 2024 at "Advances in Archaeological Practice"
DOI: 10.1017/aap.2024.16
Abstract: Abstract Over the last decades, archaeology has experienced a transformative revolution in the wake of the digital that has shaped the ways in which it is researched and published. A key concept, openness, has emerged…
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Keywords:
advancing loud;
fair data;
project;
data principles ... See more keywords
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Published in 2022 at "GigaScience"
DOI: 10.1101/2022.08.03.502622
Abstract: Background The Life sciences is an interdisciplinary field of research and one of the the biggest suppliers of scientific data. Reusing and connecting this data can uncover hidden insights and lead to new concepts, provided…
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Keywords:
fair data;
metadata;
validation;
station lightweight ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3207747
Abstract: In this paper, we consider the problem of learning fair data representations that can be used for some downstream utility task in the vendor-user setting. We propose splitting the latent space between sensitive and non-sensitive…
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Keywords:
non sensitive;
fair data;
data representations;
group ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3497953
Abstract: As the artificial intelligence, large model, Metaverse, and Web 3.0 develop rapidly, data is being traded constantly. Existing data exchange methods primarily rely on trusted third parties, which compromises fairness and decentralization. Moreover, existing methods…
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Keywords:
data trading;
fair data;
trading;
access control ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3569270
Abstract: In remote or high-demand wireless cellular networks, efficient data collection from ground users (GUs) with fixed infrastructure poses a significant challenge. Autonomous aerial vehicles (AAVs) have emerged as a promising solution due to their flexible…
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Keywords:
energy;
trajectory design;
aav aided;
fair data ... See more keywords
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Published in 2024 at "BMC Medical Research Methodology"
DOI: 10.1186/s12874-024-02404-1
Abstract: Data literacy, the ability to understand and effectively communicate with data, is crucial for researchers to interpret and validate data. However, low reproducibility in biomedical research is nowadays a significant issue, with major implications for…
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Keywords:
fair data;
research;
data management;
data literacy ... See more keywords
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Published in 2021 at "BMC Health Services Research"
DOI: 10.1186/s12913-021-06906-2
Abstract: Background The meaningful sharing of health data between different stakeholders is central to the advancement of science and to improve care offered to individual patients. However, it is important that the interests of individual stakeholders…
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Keywords:
data sharing;
research;
individual notions;
fair data ... See more keywords
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Published in 2025 at "Data"
DOI: 10.3390/data10110187
Abstract: 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-related data, storing it in…
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Keywords:
research personalized;
healthcare;
medical researchers;
fair data ... See more keywords
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Published in 2021 at "Metabolites"
DOI: 10.3390/metabo11110757
Abstract: 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…
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Keywords:
fair data;
grapevine wine;
data metadata;
metadata management ... See more keywords