Results 21 to 30 of about 53,971,560 (359)

Data-Sharing Markets: Model, Protocol, and Algorithms to Incentivize the Formation of Data-Sharing Consortia

open access: yesProc. ACM Manag. Data, 2023
Organizations that would mutually benefit from pooling their data are otherwise wary of sharing. This is because sharing data is costly-in time and effort-and, at the same time, the benefits of sharing are not clear. Without a clear cost-benefit analysis,
Raul Castro Fernandez
semanticscholar   +1 more source

Mechanisms that Incentivize Data Sharing in Federated Learning [PDF]

open access: yesarXiv.org, 2022
Federated learning is typically considered a beneficial technology which allows 1 multiple agents to collaborate with each other, improve the accuracy of their models, 2 and solve problems which are otherwise too data-intensive / expensive to be solved 3
Sai Praneeth Karimireddy   +2 more
semanticscholar   +1 more source

Research Data Management Status of Science and Technology Research Institutes in Korea

open access: yesData Science Journal, 2020
Recent advances in digital technology and the data-driven science paradigm has led to a proliferation of research data, which are becoming more important in scholarly communications. The sharing and reuse of research data can play a key role in enhancing
Myung-seok Choi, Sanghwan Lee
doaj   +1 more source

Low-Light Image Enhancement Using Volume-Based Subspace Analysis

open access: yesIEEE Access, 2020
Low-light image enhancement is a key technique to overcome the quality degradation of photos taken under challenging illumination conditions. Even though the significant progress has been made for enhancing the poor visibility, the intrinsic noise ...
Wonjun Kim   +4 more
doaj   +1 more source

Barriers to Data Sharing among Private Sector Organizations

open access: yesHawaii International Conference on System Sciences, 2023
In today’s digital world, sharing data among private sector organizations to realm mutual benefits, such as innovation and value co-creation, is considered a promising yet barely explored and realized approach.
Marcel Fassnacht   +4 more
semanticscholar   +1 more source

Learning Data Ethics for Data Sharing

open access: yes, 2022
"Learning Data Ethics for Data Sharing" is an Open Educational Resource (OER) for library students, data librarians, or researchers interested in learning how to ethically share data into data repositories.
Argabright, Lynnee
core   +1 more source

Data sharing

open access: yesScience, 2016
The Science family of journals is committed to sharing data relevant to public health emergencies, and therefore we are signatories to, and wholeheartedly endorse, the following statement by funders and journals. *
Dan L, Longo, Jeffrey M, Drazen
openaire   +4 more sources

AmeriFlux BASE data pipeline to support network growth and data sharing

open access: yesScientific Data, 2023
AmeriFlux is a network of research sites that measure carbon, water, and energy fluxes between ecosystems and the atmosphere using the eddy covariance technique to study a variety of Earth science questions.
H. Chu   +22 more
semanticscholar   +1 more source

The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector [PDF]

open access: yesComputers and Electronics in Agriculture, 2021
Data sharing remains a major hindering factor when it comes to adopting emerging AI technologies in general, but particularly in the agri-food sector. Protectiveness of data is natural in this setting; data is a precious commodity for data owners, which ...
Aiden Durrant   +5 more
semanticscholar   +1 more source

Analysis of Hotspots and Trends in Soil Moisture Research since the 21st Century

open access: yesAtmosphere, 2023
Soil moisture is a key factor in ecosystems that profoundly affects carbon, nitrogen, and water cycles on land surfaces, vegetation growth, and climate change.
Yuanxiang Cai   +3 more
doaj   +1 more source

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