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The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector
[article]
2021
arXiv
pre-print
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needed to use data from various sources to train models without ever sharing the raw data themselves. ...
Our results demonstrate that our approach not only performs better than each of the models trained on an individual data source, but also that data sharing in the agri-food sector can be enabled via alternatives ...
yield prediction from both imaging (remote sensing) [13] and tabular (weather and soil data) [14] data domains. ...
arXiv:2104.07468v1
fatcat:kpnn66urhra7vn3pgycutcxo5m
Data linkage in medical science using the resource description framework: the AVERT model
2019
HRB Open Research
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The approach has further advantages in terms of data sharing, security and subsequent analysis. ...
This paper describes the potential for a Linked Data approach, using a Resource Description Framework (RDF) model, to combine multiple datasets with temporal and spatial elements of varying dimensionality ...
We also wish to acknowledge the ADAPT Centre for Digital Content for the use of their resources. ...
doi:10.12688/hrbopenres.12851.2
pmid:32002509
pmcid:PMC6973528
fatcat:vtt6ivhwpzhprf3tbtj6za54mq
Data linkage in medical science using the resource description framework: the AVERT model
2018
HRB Open Research
Preserved Fulltext
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The approach has further advantages in terms of data sharing, security and subsequent analysis. ...
This paper describes the potential for a Linked Data approach, using a Resource Description Framework (RDF) model, to combine multiple datasets with temporal and spatial elements of varying dimensionality ...
We also wish to acknowledge the ADAPT Centre for Digital Content for the use of their resources. ...
doi:10.12688/hrbopenres.12851.1
fatcat:wx4227dt7zhedlymspsgfr557m
A Realistic Guide to Making Data Available Alongside Code to Improve Reproducibility
[article]
2020
arXiv
pre-print
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This paper provides practical, actionable advice on how to actually share data alongside research. ...
However, a large proportion of data from published research is often only available to the original authors. ...
Two licenses that are well suited for data sharing are: 1. Creative Commons Attribution 4.0 International Public License (CC BY), and 2. ...
arXiv:2002.11626v1
fatcat:rjyokdnwrnexljgeyjqtuk4mkq
Frictionless Data: Making Research Data Quality Visible
2018
International Journal of Digital Curation
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There is significant friction in the acquisition, sharing, and reuse of research data. ...
This friction hampers researchers not well versed in data preparation techniques from reusing an ever-increasing amount of data available within research data repositories. ...
Acknowledgments The development of Frictionless Data was generously supported by the Alfred P. Sloan Foundation. ...
doi:10.2218/ijdc.v12i2.577
fatcat:p4bzgrxfpvflfoehrhzh3iwyri
Dataset search: a survey
2019
The VLDB journal
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There are many efforts underway to encourage data sharing and reuse, from scientific publishers asking authors to submit data alongside manuscripts to data marketplaces, open data portals and data communities ...
Generating value from data requires the ability to find, access and make sense of datasets. ...
, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. ...
doi:10.1007/s00778-019-00564-x
fatcat:tmjhtnkzsfedzhqxeyxifoteli
Opening the black box of energy modelling: Strategies and lessons learned
2018
Energy Strategy Reviews
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We discuss key steps to consider when opening code and data, including determining intellectual property ownership, choosing a licence and appropriate modelling languages, distributing code and data, and ...
Here we provide a practical how-to guide based on the collective experience of members of the Open Energy Modelling Initiative (Openmod). ...
We invite readers to join the initiative's email list, forum and regular workshops. 15 ...
doi:10.1016/j.esr.2017.12.002
fatcat:kgt7svoi3rdu3jgcnct4rlek5y
T1DBase: integration and presentation of complex data for type 1 diabetes research
2007
Nucleic Acids Research
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Funding to pay the Open Access publication charges for this article was provided by the Institute for Systems Biology. Conflict of interest statement. None declared. ...
This approach makes sense for other diseases, and we believe that great synergy would result from combining data for multiple diseases. ...
User features can be uploaded alongside known genes for comparison, which allows for sharing of data. ...
doi:10.1093/nar/gkm715
fatcat:y5rtqu2znjcutan5fi7trdijli
T1DBase: integration and presentation of complex data for type 1 diabetes research
2007
Nucleic Acids Research
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Funding to pay the Open Access publication charges for this article was provided by the Institute for Systems Biology. Conflict of interest statement. None declared. ...
This approach makes sense for other diseases, and we believe that great synergy would result from combining data for multiple diseases. ...
User features can be uploaded alongside known genes for comparison, which allows for sharing of data. ...
doi:10.1093/nar/gkl933
pmid:17169983
pmcid:PMC1781218
fatcat:5isah7b6yradbiqlfvmtjjbj2m
Dataset search: a survey
[article]
2019
arXiv
pre-print
Preserved Fulltext
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There are many efforts underway to encourage data sharing and reuse, from scientific publishers asking authors to submit data alongside manuscripts to data marketplaces, open data portals and data communities ...
Generating value from data requires the ability to find, access and make sense of datasets. ...
We must facilitate an organizational as well as technical space to share data between both public and private entities. ...
arXiv:1901.00735v1
fatcat:lvz3zfkpejfqdmdxmi2lswn45y
Climate Change prevention through community actions and empowerment: a Scoping Review Protocol
2022
STUDIES IN HEALTH SCIENCES
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The results will be presented in tabular format alongside a narrative summary. ...
aimed to empower communities in optimising their health. ...
The results will be presented in tabular format alongside a narrative summary. ...
doi:10.54018/shsv3n1-028
fatcat:c4ztfw7pazc6ldoesptv32aj24
Driven to ... Discovering Your Design Values
2007
IEEE Software
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With a data-first approach, we started defining our RasterImage class by declaring the image data structure and then adding methods to retrieve and set the image and query its dimensions. Voila! ...
This view of model building followed by transformation probably causes the great divide between MDD practitioners and other design schools-even though they share many common design values. ...
doi:10.1109/ms.2007.10
fatcat:asijjk35pfeinmoqtpiy6znjdy
Collaborative Practices with Structured Data
2019
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19
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Collaborative work with data is increasingly common and spans a broad range of activities -from creating or analysing data in a team, to sharing it with others, to reusing someone else's data in a new ...
control; and custom data access. ...
For example, [17] studies how users of a government dataset released in the public domain engage with the data to make sense of it. ...
doi:10.1145/3290605.3300330
dblp:conf/chi/KoestenKTS19
fatcat:3kh24ukkzrdxnlf5kmgbxy3aei
Italian center for Astronomical Archives publishing solution: modular and distributed
2018
arXiv
pre-print
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2018 Software and Cyberinfrastructure for Astronomy V unpublished doi:10.1117/12.2311967 fatcat:lfjzg6pwgrcerky7nw3ej6ixzq
The Italian center for Astronomical Archives tries to provide astronomical data resources as interoperable services based on IVOA standards. ...
Alongside these tools a first administration tool (TASMAN) has been developed to ease the build up and maintenance of TAP_SCHEMA-ta including also ObsCore maintenance capability. ...
The thesis was a joint effort of the IA2 data center, part of INAF, and the Department of Mathematics and Informatics of the University of Udine. ...
arXiv:1805.08040v1
fatcat:ncdzdbbyivahpgf4qunwybqs7i
Geographic Analytics and Visualization for Decision Making: An Application for Online Food Delivery Platform
2019
International journal of recent technology and engineering
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A wide arrangement of elective symbolization, for example, circles, bars, or shading, can be utilized to represent quantitative geospatial data on such maps. ...
GIS-based representations encourage the evaluation of store areas and help organizers to choose the most encouraging options. ...
It enables users to see associations between multi-dimensional data sets and gives better approaches to interpreting data. Imagine the above tabular data being interpreted. ...
doi:10.35940/ijrte.b2206.078219
fatcat:dn3po77ipbbaxphfg7fvwdfaki
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