Articles with "data intensive" as a keyword



Algorithmic responsibility without accountability: Understanding data‐intensive algorithms and decisions in organisations

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Published in 2024 at "Systems Research and Behavioral Science"

DOI: 10.1002/sres.3028

Abstract: Social science research has been concerned for several years with the issue of shifting responsibilities in organisations due to the increased use of data‐intensive algorithms. Much of the research to date has focused on the… read more here.

Keywords: algorithmic responsibility; responsibility without; data intensive; accountability ... See more keywords

Facilitating data-intensive approaches to innovation for sustainability: opportunities and challenges in building smart cities

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Published in 2017 at "Sustainability Science"

DOI: 10.1007/s11625-017-0498-1

Abstract: Sustainability concerns reducing air and water pollution, improving energy efficiency while securing energy supply, and maintaining resilience to disasters. Interconnected in complex and dynamic ways, these challenges pose formidable difficulties and obstacles in designing and… read more here.

Keywords: innovation sustainability; data intensive; facilitating data; smart cities ... See more keywords

Responsibility for the Environmental Impact of Data-Intensive Research: An Exploration of UK Health Researchers

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Published in 2024 at "Science and Engineering Ethics"

DOI: 10.1007/s11948-024-00495-z

Abstract: Concerns about research’s environmental impacts have been articulated in the research arena, but questions remain about what types of role responsibilities are appropriate to place on researchers, if any. The research question of this paper… read more here.

Keywords: health researchers; environmental impacts; data intensive; responsibility environmental ... See more keywords
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Data-Intensive Modelling and Simulation in Life Sciences and Socio-economical and Physical Sciences

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Published in 2017 at "Data Science and Engineering"

DOI: 10.1007/s41019-017-0049-x

Abstract: This special issue of the journal Data Science and Engineering is a result of the work fostered by the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet), an EU-funded research… read more here.

Keywords: big data; life sciences; data intensive; simulation ... See more keywords

Affording reusable data: recommendations for researchers from a data-intensive project

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Published in 2025 at "Scientific Data"

DOI: 10.1038/s41597-025-04565-0

Abstract: Scientists are increasingly required by funding agencies, publishers and their institutions to produce and publish data that are Findable, Accessible, Interoperable and Reusable (FAIR). This requires curatorial activities, which are expensive in terms of both… read more here.

Keywords: affording reusable; reusable data; data recommendations; data intensive ... See more keywords

Coordinating negotiations in data-intensive collaborative working environments using an agent-based model-driven platform

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Published in 2018 at "Enterprise Information Systems"

DOI: 10.1080/17517575.2018.1521998

Abstract: ABSTRACT This paper tackles the interoperability problems of enterprise information systems by presenting a distributive model-driven platform for parallel coordination of multiple negotiations in data-intensive collaborative working environments. The proposed model was validated and verified… read more here.

Keywords: negotiations data; driven platform; data intensive; model driven ... See more keywords
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Bayes Forest: a data-intensive generator of morphological tree clones

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Published in 2017 at "GigaScience"

DOI: 10.1093/gigascience/gix079

Abstract: Abstract Detailed and realistic tree form generators have numerous applications in ecology and forestry. For example, the varying morphology of trees contributes differently to formation of landscapes, natural habitats of species, and eco-physiological characteristics of… read more here.

Keywords: morphological tree; forest data; bayes forest; data intensive ... See more keywords

IOSPReD: I/O Specialized Packaging of Reduced Datasets and Data-Intensive Applications for Efficient Reproducibility

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Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2022.3233787

Abstract: The data generated by large scale scientific systems such as NASA’s Earth Observing System Data and Information System is expected to increase substantially. Consequently, applications processing these huge volumes of data suffer from lack of… read more here.

Keywords: data intensive; iospred specialized; intensive applications; specialized packaging ... See more keywords

Technology Prospects for Data-Intensive Computing

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Published in 2023 at "Proceedings of the IEEE"

DOI: 10.1109/jproc.2022.3218057

Abstract: For many decades, progress in computing hardware has been closely associated with CMOS logic density, performance, and cost. As such, slowdown in 2-D scaling, frequency saturation in CPUs, and increased cost of design and chip… read more here.

Keywords: computing hardware; data intensive; technology; intensive computing ... See more keywords
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FPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications

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Published in 2021 at "IEEE Micro"

DOI: 10.1109/mm.2021.3088396

Abstract: Modern data-intensive applications demand high computational capabilities with strict power constraints. Unfortunately, such applications suffer from a significant waste of both execution cycles and energy in current computing systems due to the costly data movement… read more here.

Keywords: fpga based; data intensive; memory; intensive applications ... See more keywords

Dynamic Resource Provisioning With Fault Tolerance for Data-Intensive Meteorological Workflows in Cloud

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Published in 2020 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2019.2959258

Abstract: Cloud computing is a formidable paradigm to provide resources for handling the services from Industrial Internet of Things (IIoT), such as meteorological industry. Generally, the meteorological services, with complex interdependent logics, are modeled as workflows.… read more here.

Keywords: resource provisioning; data intensive; meteorological workflows; tolerance data ... See more keywords