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The Value of Collaboration & ACARN's Data Sharing Infrastructure - Sean Smukler, UBC
Why sharing data is important for agricultural adaptation research and how the data sharing infrastructure developed by ACARN can enable sharing of data sets across regions and researchers.
Why sharing data is important for agricultural adaptation research and how the data sharing infrastructure developed by ACARN can enable sharing of data sets across regions and researchers.
6.
FT-IR TENSOR with HTS-XT plate reader for
automated Mid-IR
Micro-plate prepped for FT-MIR analysis
7.
FTIR Results and Potential
10-20% the cost of standard wet chemistry
8.
Growing Recognition of Public Data Archiving
• Tri-Agency Open Access Policy May 1, 2015 – peer-reviewed
publications must be freely accessible within 12 months of publication
• CIHR only must deposit bioinformatics, atomic, and molecular
coordinate data into the appropriate public database
• Databases such as figshare, Dryad, TreeBASE, and GenBank
8
9.
Benefits of Data-sharing
• Prevents loss from hardware malfunction or obsolescence
• Preserves data when researchers move to different projects
or retire
• Facilitates good metadata production
• Enables regional analysis and modeling
9
10.
To Deposit or Not Deposit
• Real or perceived costs to share
• BC’s Personal Information Protection
Act (PIPA)
• Collaborator trust
10
Roche DG, Lanfear R, Binning SA, Haff TM, Schwanz LE, et al. (2014) Troubleshooting Public Data Archiving: Suggestions to
Increase Participation. PLOS Biology 12(1)
Illustration credit: Ainsley Seago
11.
Development of a BC Agricultural Data-sharing Infrastructure
for Climate Adaptation Research
December 15th 2017- March 20th, 2018
• Jason Lussier, the BC Agricultural Climate Adaptation Research
Network
• Dr. Lauchlan Fraser, Thompson Rivers University
• Dr. Sean Smukler, University of British Columbia
• Dr. Juli Carrillo, University of British Columbia
• Serena Black, BC Forage Council
11
13.
BC Agricultural Soil Data-sharing
Working Group
• March 24, 2018 PRSSS
The Role of Soil in
Climate Change
Adaptation
• October 5, 2018 - Soil
Database Development
Workshop
13
14.
Data
• BC Nutrient database
• ~5000 crop, soil amendment
data
• ~ 2000 soil data (e.g. past FAIP
project)
14
15.
Sampling across LFV
15
LULC TYPE TOTAL PLOTS
Annual Crop 100
Field Margin & Hedgerow 18
Riparian Buffer 14
Grassland 52
Perennial Crop 100
Forest/Forest Patch 15
Wetland 10
Total 309
16.
Process
16
ACARN
Website
Excel
Templates
ACARN
Database
Data
Cleaning
Participant
Access
17.
Next Steps
• Make the soils and amendment data flow operational
• Recruit participants
• Develop field and lab protocols
• Repeat for other datasets
17
Editor's Notes
Ensure scientists are focused on research that is most relevant for producers and policy Sharing data, methodologies and results among researchers Developing joint coordinated research projects Enhancing knowledge transfer from researchers to producers Training future researchers and outreach specialist
http://www.science.gc.ca/eic/site/063.nsf/eng/h_F6765465.html?OpenDocument Tri-agency policy 3.1 Peer-reviewed Journal Publications Grant recipients are required to ensure that any peer-reviewed journal publications arising from Agency-supported research are freely accessible within 12 months of publication.
Recipients of CIHR funding are required to adhere with the following responsibilities: Deposit bioinformatics, atomic, and molecular coordinate data into the appropriate public database (e.g. gene sequences deposited in GenBank) immediately upon publication of research results.
Decision Aid System for Integrated Pest Management Molly Thurston Technology and data for adaptation Svan Lembke & Lee Cartier
The LFV is in the southwest corner of the province We stratified sampling using a conditional latin hyper cube method across 7 LULC types We collected 309 samples The plot methods were similar to the ones I had previously described
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