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

Aiden Durrant, Milan Markovic, David Matthews, David May, Jessica Enright, Georgios Leontidis
2021 arXiv   pre-print
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

Brian P Reddy, Brett Houlding, Lucy Hederman, Mark Canney, Christophe Debruyne, Ciaran O'Brien, Alan Meehan, Declan O'Sullivan, Mark A Little
2019 HRB Open Research  
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

Brian P Reddy, Brett Houlding, Lucy Hederman, Mark Canney, Christophe Debruyne, Ciaran O'Brien, Alan Meehan, Declan O'Sullivan, Mark A Little
2018 HRB Open Research  
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]

Nicholas J Tierney, Karthik Ram
2020 arXiv   pre-print
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

Dan Fowler, Jo Barratt, Paul Walsh
2018 International Journal of Digital Curation  
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

Adriane Chapman, Elena Simperl, Laura Koesten, George Konstantinidis, Luis-Daniel Ibáñez, Emilia Kacprzak, Paul Groth
2019 The VLDB journal  
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

Stefan Pfenninger, Lion Hirth, Ingmar Schlecht, Eva Schmid, Frauke Wiese, Tom Brown, Chris Davis, Matthew Gidden, Heidi Heinrichs, Clara Heuberger, Simon Hilpert, Uwe Krien (+11 others)
2018 Energy Strategy Reviews  
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  
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

E. M. Hulbert, L. J. Smink, E. C. Adlem, J. E. Allen, D. B. Burdick, O. S. Burren, C. C. Cavnor, G. E. Dolman, D. Flamez, K. F. Friery, B. C. Healy, S. A. Killcoyne (+8 others)
2007 Nucleic Acids Research  
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]

Adriane Chapman and Elena Simperl and Laura Koesten and George Konstantinidis and Luis-Daniel Ibáñez-Gonzalez and Emilia Kacprzak and Paul Groth
2019 arXiv   pre-print
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

Maria João Salvador Costa, Rosa Carla Gomes Da Silva, Vanessa dos Santos Cardoso Monteiro, Pedro Miguel de Almeida Melo
2022 STUDIES IN HEALTH SCIENCES  
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

Rebecca Wirfs-brock
2007 IEEE Software  
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

Laura Koesten, Emilia Kacprzak, Jeni Tennison, Elena Simperl
2019 Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19  
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

Marco Molinaro, Nicola F. Calabria, Robert Butora, Sonia Zorba and Riccardo Smareglia
2018 arXiv   pre-print
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  
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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