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Leak Detection in Water Supply Network Using a Data-Driven Improved Graph Convolutional Network
Due to the complex correlation within data collection, it is a challenging task to detect leakage in the water supply network. The Graph Convolutional Network (GCN) has recently gained significant attention in correlation research. However, most existing
Suisheng Chen +4 more
doaj +1 more source
Food for thought: Climate change risk and food (in)security in Tuvalu
Climate change presents a considerable threat to food security of low-lying atoll nations in the Pacific including Tuvalu. It is projected to heavily impact agricultural and fishery sectors in Tuvalu, threatening food chains and the ability of Tuvaluans ...
Saamu Tui, Bapon Fakhruddin
doaj +1 more source
FileBounty: Fair Data Exchange [PDF]
Digital contents are typically sold online through centralized and custodian marketplaces, which requires the trading partners to trust a central entity. We present FileBounty, a fair protocol which, assuming the cryptographic hash of the file of interest is known to the buyer, is trust-free and lets a buyer purchase data for a previously agreed ...
Janin, S +3 more
openaire +3 more sources
OSSDIP: Open Source Secure Data Infrastructure and Processes Supporting Data Visiting
Meeting the conflicting goals of protecting and maintaining control over sensitive data while also allowing access by third parties constitutes a significant challenge.
Martin Weise +3 more
doaj +1 more source
A Resource for Guiding Data Stewards to Make European Rare Disease Patient Registries FAIR
Objective: This paper reports on the development of a dynamic data management planning questionnaire to guide data stewards of the European Reference Network (ERN) rare disease patient registries to make their data findable, accessible, interoperable ...
Philip van Damme +14 more
doaj +1 more source
Make scientific data FAIR [PDF]
All disciplines should follow the geosciences and demand best practice for publishing and sharing data, argue Shelley Stall and colleagues. All disciplines should follow the geosciences and demand best practice for publishing and sharing data, argue Shelley Stall and colleagues.
Shelley, Stall +8 more
openaire +2 more sources
Supporting FAIR Data Management Planning Across Different Disciplines at the University of Sheffield
Recognition is growing sector-wide of the importance of FAIR data management planning in facilitating the sharing and reuse of research outputs.
Jenni Adams, Bev Jones, Helen Foster
doaj +1 more source
Spatio-temporal variation in European starling reproductive success at multiple small spatial scales [PDF]
Funding Information This work received funding from the Natural Environment Research Council, Fair Isle Bird Observatory Trust and the Royal Society.
Aparicio +66 more
core +1 more source
Achievements of the ARIADNE Initiative for Archaeological Data Sharing and Research
The overall objective of the ARIADNE initiative is to help archaeological research and data management communities in Europe and beyond to more effectively share and use data that are dispersed across many institutions and projects.
Guntram Geser
doaj +1 more source
Making archaeological data available for the scientific community received a major boost through the ARIADNE Infrastructure projects that began in 2013.
Gerald Hiebel +3 more
doaj +1 more source

