Dear AgBioData member,
We are excited to announce that AgBioData will have a *two-day in-person
workshop in Chicago (IL)* on *May 1-2, 2023*. This meeting is meant to
bring together working group (WG) members and member database resources to
share the progress and achievements made by the WGs and discuss the future
directions of the consortium (more details and a draft meeting agenda here
<https://www.agbiodata.org/meetings/AGB_community_2023>).
We have *funds to cover travel expenses*, in detail, a two-ways flight
ticket, a two-night hotel room (nights: 04/30-05/01), and meals onsite
during the event for about 50 participants. *We have a few spots still
available *and are opening the invitation to anybody from the AgBioData
community interested in learning more about our WGs and willing to
contribute to our mission of FAIR data in agriculture research. *We can
support ONLY members located in the US.*
*Please complete this form <https://forms.gle/nj12dgafaB2F9Rc67> to
secure a spot. *
If you can't attend in person but are interested in participating
virtually, we assure you that the meeting will be hybrid and will soon send
more details and a Zoom registration link.
Please let me know if you have any questions.
Annarita
Hi everybody,
Join us next Wed, *April 5th, *at 12 PM CT for our monthly webinar. We will
have Krystal Tsosie <https://search.asu.edu/profile/535281> from Arizona
State University talking about digital data tools and machine learning
approaches to protect indigenous knowledge and biodiversity.
I have included below more details about the webinar and the zoom link to
attend the webinar.
I hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
Presenters: Dr. Krystal Tsosie, Arizona State University
Abstract:
*From Green Revolution to “Rescue” Indigeneity: Using Digital Data Tools
and Machine Learning Approaches to Protect Indigenous Knowledge and
Biodiversity.*
Comprising less than 5% of the world's population, Indigenous people
protect 80% of global biodiversity. The next genomic ”discoveries” in
industry and academia may co-opt Indigenous knowledge or disenfranchise
Indigenous peoples, who are often last to benefit and are least protected
from intellectual property claims. Ethical and sustainable research
necessitates new digital data approaches as grounded in machine learning
and Indigenous stewardship models to operationalize CARE data governance
principles, direct benefit sharing, and equitable engagement and
partnerships with Indigenous communities.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
Find your local time here
<https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+Monthly…>
Annarita Marrano is inviting you to a scheduled Zoom meeting.
Topic: AgBioData Monthly Webinar
Time: This is a recurring meeting Meet anytime
Join Zoom Meeting
https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09
Meeting ID: 820 3835 6125
Passcode: 160683
One tap mobile
+19292056099,,82038356125#,,,,*160683# US (New York)
+13017158592,,82038356125#,,,,*160683# US (Washington DC)
Dial by your location
+1 929 205 6099 US (New York)
+1 301 715 8592 US (Washington DC)
+1 305 224 1968 US
+1 309 205 3325 US
+1 312 626 6799 US (Chicago)
+1 646 931 3860 US
+1 253 205 0468 US
+1 253 215 8782 US (Tacoma)
+1 346 248 7799 US (Houston)
+1 360 209 5623 US
+1 386 347 5053 US
+1 507 473 4847 US
+1 564 217 2000 US
+1 669 444 9171 US
+1 669 900 6833 US (San Jose)
+1 689 278 1000 US
+1 719 359 4580 US
Meeting ID: 820 3835 6125
Passcode: 160683
Find your local number: https://us06web.zoom.us/u/kF3akiFg7
Hi everybody,
This is a friendly reminder of *tomorrow's* monthly webinar (*March 1st*)*.
*We will have *Irene Cobo Simón* from the Institute of Forest Science
(ICIFOR-INIA, CSIC; Spain) talking about the CartograPlant
<https://treegenesdb.org/ct/about>, a web-based application that
integrates, visualizes, and analyzes genotypic, phenotypic, environmental
data, and their associated metadata, from georeferenced plants.
I have included below more details about the webinar and the zoom link to
attend the webinar.
I hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
Presenters: Dr. Irene Cobo Simón, Institute of Forest Science (ICIFOR-INIA,
CSIC; Spain)
Abstract:
*CartograPlant: Cyberinfrastructure to improve plant health and
productivity in the context of a changing climate.*
Climate change is threatening plant health and productivity at all spatial
scales. To date, it remains largely unknown whether plant breeding and
agricultural management practices can keep pace with the rate and direction
of environmental change, as well as species’ rate of adaptation to rapid
environmental change. In addition, the incidence of invasive pests and
pathogens is increasing as a consequence of globalization. This trend is
being exacerbated by climate change. Thus, future plant health and
productivity will depend on the match between genotypes (and their
resulting phenotypes) and new environments. However, these analyses are
challenging since they require the integration of diverse data types,
usually decentralized and lacking in standardization: genotypic, phenotypic
and environmental. Hence, centralized and up-to-date platforms which
integrate, visualize and analyze high-throughput biological data are key,
especially in the current big data era in plant biology. CartograPlant (
https://cartograplant.org/) is a web-based application that integrates,
visualizes, and analyzes genotypic, phenotypic, environmental data, and
their associated metadata, from georeferenced plants. Environmental data is
available through advanced integration of global and regional layers. The
genotype and phenotype metrics are collected through direct submission of
studies at the time of publication or through the biocuration efforts of
the affiliated databases and applications (TreeGenes, BIEN, TreeSnap). Data
analysis is enabled by accessing the metadata associated with the public
studies and providing appropriate workflows through Galaxy (
https://galaxyproject.org/). This metadata collection, using ontologies and
standards, allows data integration and analysis coming from different
studies, which is key to perform both mega and meta-analysis. Mega-analysis
and meta-analysis of GWAS (GxP association) and landscape genomics (GxE
association) studies can improve the power to detect association signals by
increasing sample size and by examining more variants throughout the genome
than each dataset alone. Thus, they allow users to answer unprecedented and
ambitious adaptive questions, taking advantage of the potential of
high-throughput biological data. This talk will describe the recent updates
in data sources, functionalities, and analytic workflows offered by
CartograPlant.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
Find your local time here
<https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+monthly…>
Annarita Marrano is inviting you to a scheduled Zoom meeting.
Topic: AgBioData Monthly Webinar
Time: This is a recurring meeting Meet anytime
Join Zoom Meeting
https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09
Meeting ID: 820 3835 6125
Passcode: 160683
One tap mobile
+19292056099,,82038356125#,,,,*160683# US (New York)
+13017158592,,82038356125#,,,,*160683# US (Washington DC)
Dial by your location
+1 929 205 6099 US (New York)
+1 301 715 8592 US (Washington DC)
+1 305 224 1968 US
+1 309 205 3325 US
+1 312 626 6799 US (Chicago)
+1 646 931 3860 US
+1 253 205 0468 US
+1 253 215 8782 US (Tacoma)
+1 346 248 7799 US (Houston)
+1 360 209 5623 US
+1 386 347 5053 US
+1 507 473 4847 US
+1 564 217 2000 US
+1 669 444 9171 US
+1 669 900 6833 US (San Jose)
+1 689 278 1000 US
+1 719 359 4580 US
Meeting ID: 820 3835 6125
Passcode: 160683
Find your local number: https://us06web.zoom.us/u/kF3akiFg7
Hi everybody,
Our next monthly webinar is next Wed, *March 1st. *Irene Cobo Simón from
the Institute of Forest Science (ICIFOR-INIA, CSIC; Spain) will talk about
the CartograPlant <https://treegenesdb.org/ct/about>, a web-based
application that integrates, visualizes, and analyzes genotypic,
phenotypic, environmental data, and their associated metadata, from
georeferenced plants.
I have included below more details about the webinar and the zoom link to
attend the webinar.
I hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
Presenters: Dr. Irene Cobo Simón, Institute of Forest Science (ICIFOR-INIA,
CSIC; Spain)
Abstract:
*CartograPlant: Cyberinfrastructure to improve plant health and
productivity in the context of a changing climate.*
Climate change is threatening plant health and productivity at all spatial
scales. To date, it remains largely unknown whether plant breeding and
agricultural management practices can keep pace with the rate and direction
of environmental change, as well as species’ rate of adaptation to rapid
environmental change. In addition, the incidence of invasive pests and
pathogens is increasing as a consequence of globalization. This trend is
being exacerbated by climate change. Thus, future plant health and
productivity will depend on the match between genotypes (and their
resulting phenotypes) and new environments. However, these analyses are
challenging since they require the integration of diverse data types,
usually decentralized and lacking in standardization: genotypic, phenotypic
and environmental. Hence, centralized and up-to-date platforms which
integrate, visualize and analyze high-throughput biological data are key,
especially in the current big data era in plant biology. CartograPlant (
https://cartograplant.org/) is a web-based application that integrates,
visualizes, and analyzes genotypic, phenotypic, environmental data, and
their associated metadata, from georeferenced plants. Environmental data is
available through advanced integration of global and regional layers. The
genotype and phenotype metrics are collected through direct submission of
studies at the time of publication or through the biocuration efforts of
the affiliated databases and applications (TreeGenes, BIEN, TreeSnap). Data
analysis is enabled by accessing the metadata associated with the public
studies and providing appropriate workflows through Galaxy (
https://galaxyproject.org/). This metadata collection, using ontologies and
standards, allows data integration and analysis coming from different
studies, which is key to perform both mega and meta-analysis. Mega-analysis
and meta-analysis of GWAS (GxP association) and landscape genomics (GxE
association) studies can improve the power to detect association signals by
increasing sample size and by examining more variants throughout the genome
than each dataset alone. Thus, they allow users to answer unprecedented and
ambitious adaptive questions, taking advantage of the potential of
high-throughput biological data. This talk will describe the recent updates
in data sources, functionalities, and analytic workflows offered by
CartograPlant.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
Find your local time here
<https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+monthly…>
Annarita Marrano is inviting you to a scheduled Zoom meeting.
Topic: AgBioData Monthly Webinar
Time: This is a recurring meeting Meet anytime
Join Zoom Meeting
https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09
Meeting ID: 820 3835 6125
Passcode: 160683
One tap mobile
+19292056099,,82038356125#,,,,*160683# US (New York)
+13017158592,,82038356125#,,,,*160683# US (Washington DC)
Dial by your location
+1 929 205 6099 US (New York)
+1 301 715 8592 US (Washington DC)
+1 305 224 1968 US
+1 309 205 3325 US
+1 312 626 6799 US (Chicago)
+1 646 931 3860 US
+1 253 205 0468 US
+1 253 215 8782 US (Tacoma)
+1 346 248 7799 US (Houston)
+1 360 209 5623 US
+1 386 347 5053 US
+1 507 473 4847 US
+1 564 217 2000 US
+1 669 444 9171 US
+1 669 900 6833 US (San Jose)
+1 689 278 1000 US
+1 719 359 4580 US
Meeting ID: 820 3835 6125
Passcode: 160683
Find your local number: https://us06web.zoom.us/u/kF3akiFg7
Hi everybody,
This is a friendly reminder of our webinar tomorrow (*February 1st.). *Monica
Munoz-Torres <https://tislab.org/members/monica-munoz-torres.html> from the
University of Colorado School of Medicine will talk about the Monarch
Initiative <https://monarchinitiative.org/>, a consortium and a set of
resources that seeks to bridge the space between basic and applied and
clinical research by developing tools that facilitate connecting data
across a variety of scientific approaches and disciplines.
Below you can find more details about the webinar and the zoom link to
attend the webinar.
We hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
*Presenters: *Dr. Monica Munoz-Torres
<https://tislab.org/members/monica-munoz-torres.html>, University of
Colorado School of Medicine
*Host: *Dr. Monica Poelchau
Abstract:
*The Monarch Initiative: harmonizing cross-species data for disease
diagnostics and discovery.*
Addressing complex scientific challenges requires weaving together data
from diverse sources, organisms, contexts, formats, and granularities, and
building a coherent holistic view of this data landscape to address any
given problem is non-trivial – much of the relevant information is
scattered and not readily accessible for searching or analysis. The Monarch
Initiative is a consortium and a set of resources aiming to overcome these
limitations by integrating the fragmented data landscape into the most
comprehensive open collection of genotype-phenotype data available. Monarch
seeks to bridge the space between basic and applied and clinical research,
developing tools that facilitate connecting data across a variety of
scientific approaches and disciplines including genomics, proteomics,
molecular modeling, diagnosis of disease and syndromes, and the
organization of patient record data. The Monarch Knowledge Graph (KG) links
together clinical, biomedical, and basic science research data spanning
multiple species, and it supports reasoning across a wide range of
organisms, body systems, and diseases. We founded the Human Phenotype
Ontology (HPO), one of the most widely used biomedical ontologies and the
gold standard for describing human phenotypes, and are also creators of the
Mondo unified disease ontology, the Unified Phenotype Ontology (uPheno),
the cross-species anatomy ontology (Uberon), the Environmental Conditions
and Treatments Ontology (ECTO), and most recently, the Vertebrate Breed
Ontology (VBO), a single source for data standardization and integration of
all breed names. We also created the Simple Standard for Sharing Ontology
Mappings (SSSOM) to harmonize the ontologies that are used by the sources,
and the only ISO-approved standard for exchanging detailed, case-level
phenotype data, Phenopackets. Monarch tools and resources are publically
available and are designed for both informatics users, as well as clinical
and basic research use cases. By making data more interoperable, our
widely-used standards for data annotation and exchange help support a wide
range of data sharing and reuse by projects and organizations around the
world, and reduce the effort they need to devote to data harmonization.
During this presentation, we will introduce you to a few of these resources
and offer you the information to find and implement the ones that best
serve your scientific needs.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
Find your local time here
<https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+monthly…>
Annarita Marrano is inviting you to a scheduled Zoom meeting.
Topic: AgBioData Monthly Webinar
Time: This is a recurring meeting Meet anytime
Join Zoom Meeting
https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09
Meeting ID: 820 3835 6125
Passcode: 160683
One tap mobile
+19292056099,,82038356125#,,,,*160683# US (New York)
+13017158592,,82038356125#,,,,*160683# US (Washington DC)
Dial by your location
+1 929 205 6099 US (New York)
+1 301 715 8592 US (Washington DC)
+1 305 224 1968 US
+1 309 205 3325 US
+1 312 626 6799 US (Chicago)
+1 646 931 3860 US
+1 253 205 0468 US
+1 253 215 8782 US (Tacoma)
+1 346 248 7799 US (Houston)
+1 360 209 5623 US
+1 386 347 5053 US
+1 507 473 4847 US
+1 564 217 2000 US
+1 669 444 9171 US
+1 669 900 6833 US (San Jose)
+1 689 278 1000 US
+1 719 359 4580 US
Meeting ID: 820 3835 6125
Passcode: 160683
Find your local number: https://us06web.zoom.us/u/kF3akiFg7
Hi everybody,
We will have our first webinar of the year next Wed, *February 1st. *Monica
Munoz-Torres <https://tislab.org/members/monica-munoz-torres.html> from the
University of Colorado School of Medicine will talk about the Monarch
Initiative <https://monarchinitiative.org/>, a consortium and a set of
resources that seeks to bridge the space between basic and applied and
clinical research by developing tools that facilitate connecting data
across a variety of scientific approaches and disciplines.
Below you can find more details about the webinar and the zoom link to
attend the webinar.
We hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
Presenters: Dr. Monica Munoz-Torres, University of Colorado School of
Medicine
Host: Dr. Monica Poelchau
Abstract:
*The Monarch Initiative: harmonizing cross-species data for disease
diagnostics and discovery.*
Addressing complex scientific challenges requires weaving together data
from diverse sources, organisms, contexts, formats, and granularities, and
building a coherent holistic view of this data landscape to address any
given problem is non-trivial – much of the relevant information is
scattered and not readily accessible for searching or analysis. The Monarch
Initiative is a consortium and a set of resources aiming to overcome these
limitations by integrating the fragmented data landscape into the most
comprehensive open collection of genotype-phenotype data available. Monarch
seeks to bridge the space between basic and applied and clinical research,
developing tools that facilitate connecting data across a variety of
scientific approaches and disciplines including genomics, proteomics,
molecular modeling, diagnosis of disease and syndromes, and the
organization of patient record data. The Monarch Knowledge Graph (KG) links
together clinical, biomedical, and basic science research data spanning
multiple species, and it supports reasoning across a wide range of
organisms, body systems, and diseases. We founded the Human Phenotype
Ontology (HPO), one of the most widely used biomedical ontologies and the
gold standard for describing human phenotypes, and are also creators of the
Mondo unified disease ontology, the Unified Phenotype Ontology (uPheno),
the cross-species anatomy ontology (Uberon), the Environmental Conditions
and Treatments Ontology (ECTO), and most recently, the Vertebrate Breed
Ontology (VBO), a single source for data standardization and integration of
all breed names. We also created the Simple Standard for Sharing Ontology
Mappings (SSSOM) to harmonize the ontologies that are used by the sources,
and the only ISO-approved standard for exchanging detailed, case-level
phenotype data, Phenopackets. Monarch tools and resources are publically
available and are designed for both informatics users, as well as clinical
and basic research use cases. By making data more interoperable, our
widely-used standards for data annotation and exchange help support a wide
range of data sharing and reuse by projects and organizations around the
world, and reduce the effort they need to devote to data harmonization.
During this presentation, we will introduce you to a few of these resources
and offer you the information to find and implement the ones that best
serve your scientific needs.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
Find your local time here
<https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+monthly…>
Annarita Marrano is inviting you to a scheduled Zoom meeting.
Topic: AgBioData Monthly Webinar
Time: This is a recurring meeting Meet anytime
Join Zoom Meeting
https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09
Meeting ID: 820 3835 6125
Passcode: 160683
One tap mobile
+19292056099,,82038356125#,,,,*160683# US (New York)
+13017158592,,82038356125#,,,,*160683# US (Washington DC)
Dial by your location
+1 929 205 6099 US (New York)
+1 301 715 8592 US (Washington DC)
+1 305 224 1968 US
+1 309 205 3325 US
+1 312 626 6799 US (Chicago)
+1 646 931 3860 US
+1 253 205 0468 US
+1 253 215 8782 US (Tacoma)
+1 346 248 7799 US (Houston)
+1 360 209 5623 US
+1 386 347 5053 US
+1 507 473 4847 US
+1 564 217 2000 US
+1 669 444 9171 US
+1 669 900 6833 US (San Jose)
+1 689 278 1000 US
+1 719 359 4580 US
Meeting ID: 820 3835 6125
Passcode: 160683
Find your local number: https://us06web.zoom.us/u/kF3akiFg7
Dear AgBioData community members,
The next Agricultural Genome to Phenome Initiative (AG2PI) Field Day will be "Mitigating Methane Emissions in Dairy Cattle Through Genetics and Nutrition: The Need for Improved Forages" and will be on Wednesday, February 8 from 10:30 AM to 12:00 PM (CST, UTC-6). In this field day, we will first hear from Dr. Francisco Peñagaricano regarding how omics tools can be used to mitigate enteric methane emissions from dairy cattle. Then, Dr. Ermias Kebreab will detail various strategies currently being pursued for enteric methane abatement.
We invite you to register for this Zoom event at https://www.ag2pi.org/workshops-and-activities/field-day-2023-02-08/, where you will also find additional information. Upon registration, you will receive a confirmation email with information about joining the meeting. If you are unable to attend the live session, then you will be able to find a recording at ag2pi.org/<https://www.ag2pi.org/>, at a later date. You do not need to register to view the recording; it is readily available on the AG2PI website soon after the close of the event (generally within 24 hours).
Please share the attached, digitally accessible flyer with your colleagues or students and encourage them to attend.
Kind regards,
Nicole
------------------------
Nicole Scott, PhD
Program Specialist
Agricultural Genome to Phenome Initiative
Iowa State University
1111 WOI Rd
Ames, IA 50011
office: 1077 Roy J. Carver Co-Lab
phone: 515-294-3945
ag2pi.org<https://www.ag2pi.org/>
*** If you no longer wish to receive messages from AG2PI, then please visit https://www.ag2pi.org/join-ag2pi/unsubscribe/ to unsubscribe *** Please note, you cannot unsubscribe if you are receiving this message through a third party ***
Hello AgBioData fellows!
We will be at PAG 30!
We will have a *workshop on Friday, Jan. 13* (see details below) and *a
booth (#230)*. Please come to hear about our working groups' work and
progress, and meet our community and genomic, genetic, and breeding
resources.
*Workshop description:*
Title: "*The AgBioData Consortium: Challenges and Recommendations for FAIR
Genetic, Genomic and Breeding Data
<https://plan.core-apps.com/pag_2023/event/3cee484866e6d00c5e492240c4d27482>*
"
Location: Town and Country C
Date: Friday, Jan 13, 4:00 PM
Duration: 2 hours 10 minutes
*About*
AgBioData is a consortium of agricultural biological databases with the
mission of consolidating standards and best practices for acquiring,
displaying, and reusing genomic, genetic, and breeding (GGB) data. Our
National Science Foundation Research Coordination Network (NSF-RCN) grant
aims to address major issues around agricultural GGB data and databases by
developing community-based recommendations and educational materials, and
informing policy and decision-makers about the growing importance of
scientific data curation and management to the research community. In the
first year of the NSF-RCN grant, we established seven working groups (WGs)
around topics important to anybody that generates, curates, and uses GGB
data, specifically: Data Federation, Education, Genotype to Phenotype,
Genome Nomenclature, Ontologies, Pan-Genomes, and Standards for Genetic
Variation. In this workshop, we introduce the AgBioData consortium; share
challenges, recommendations, and resources developed by several of these
working groups; and provide preliminary insights on the long-term
sustainability of the AgBioData database resources. We invite the larger
community at PAG to learn about AgBioData, give us feedback on our working
groups’ recommendations, and join our efforts to promote and facilitate
FAIR data in agricultural research (https://www.agbiodata.org).
*Workshop agenda:*
*4:00 PM PT * "Data Federation in Genetics, Genomics and Breeding Databases
- Current Status, Needs and Future Directions
<https://plan.core-apps.com/pag_2023/event/6d1e5518daff93525372c4f032be253a>",
Monica Poelchau
*4:20 PM PT* "An Open Access Curriculum for Using Agricultural Biological
Databases for Research and FAIR Data Sharing.
<https://plan.core-apps.com/pag_2023/event/6d1e5518daff93525372c4f032be065c>",
Margaret E. Staton
*4:40 PM PT* "Challenges and Opportunities in Connecting Genes, Alleles,
and Pan-Genes to Phenotype Data
<https://plan.core-apps.com/pag_2023/event/6d1e5518daff93525372c4f032be2578>",
Sushma Naitani
*5:00 PM PT * "Guidelines for Standardizing Gene Model Nomenclature and
Genome Assembly Quality Metrics
<https://plan.core-apps.com/pag_2023/event/6d1e5518daff93525372c4f032be124b>",
Kapeel Chougule
*5:20 PM PT* "Towards Standards for Biocuration & Interoperability of
Genetic Variation Data
<https://plan.core-apps.com/pag_2023/event/6d1e5518daff93525372c4f032be173f>",
Marcela Karey Tello-Ruiz
*5:40 PM PT* "Sustainability Analysis of Agbiodata Databases
<https://plan.core-apps.com/pag_2023/event/6d1e5518daff93525372c4f032bdffe2>",
Shabari Subramaniam
Dear AgBioData Community members:
The Standards for Genetic Variation (SGV) Working Group aims to improve
standards for the detection, annotation, and archiving of variation data.
We are interested in understanding the genetic variation data you may have
produced or are hosting, where it comes from, and what you plan to do with
it. *If you are interested in these topics and want to stay updated, please
fill in this short survey
<https://docs.google.com/forms/d/e/1FAIpQLSfon9MB8XPxl4OmZjI4MhX1Cul9CViDnZo…>.
*It will take less than 5 minutes!
We hope to present the survey results next week at PAG 30, so please
complete the survey* by 12 PM ET on Jan 12th*.
Thanks much in advance,
Marcela K. Tello-Ruiz, on behalf of the SVG Working Group
Reminder: Submit Your Comments to FFAR's Data Solutions for Accelerating
Climate-Smart Agriculture RFI
The deadline to submit comments for the Foundation for Food & Agriculture
Research's
<https://urldefense.com/v3/__https://r20.rs6.net/tn.jsp?f=001GAa_LcL_8Sp6F64…>
(FFAR) Request for Information
<https://urldefense.com/v3/__https://r20.rs6.net/tn.jsp?f=001GAa_LcL_8Sp6F64…>
(RFI)
that supports advancing data solutions to accelerate climate-smart
agriculture adoption is December 21, 2022.
FFAR is issuing a RFI to explore investments that can increase the use of
FAIR
<https://urldefense.com/v3/__https://r20.rs6.net/tn.jsp?f=001GAa_LcL_8Sp6F64…>
(Findable,
Accessible, Interoperable, Reusable) data in agricultural research, with a
specific emphasis on climate-smart mitigation and adaptation research
related to the AgMission
<https://urldefense.com/v3/__https://r20.rs6.net/tn.jsp?f=001GAa_LcL_8Sp6F64…>™
initiative. With sufficient volume of relevant standardized and
interoperable data, agricultural sciences can apply advanced data analytics
to address the challenges facing agricultural producers.
FFAR encourages comments from scientists studying agricultural systems and
agronomic practices, experts in agricultural data or privacy, developers of
metric and digital tools to support on-farm decision-making, and developers
and managers of digital data repositories with agricultural and
environmental data.
For more information, and to respond to this RFI, visit the Data Solutions
for Accelerating Climate-Smart Agriculture Open Opportunity RFI webpage.
<https://urldefense.com/v3/__https://r20.rs6.net/tn.jsp?f=001GAa_LcL_8Sp6F64…>
###
Foundation for Food & Agriculture Research
The Foundation for Food & Agriculture Research
<https://urldefense.com/v3/__https://r20.rs6.net/tn.jsp?f=001GAa_LcL_8Sp6F64…>
(FFAR)
builds public-private partnerships to fund bold research addressing big
food and agriculture challenges. FFAR was established in the 2014 Farm Bill
to increase public agriculture research investments, fill knowledge gaps
and complement USDA’s research agenda. FFAR’s model matches federal funding
from Congress with private funding, delivering a powerful return on
taxpayer investment. Through collaboration and partnerships, FFAR advances
actionable science benefiting farmers, consumers and the environment.
Connect: @FoundationFAR
<https://urldefense.com/v3/__https://r20.rs6.net/tn.jsp?f=001GAa_LcL_8Sp6F64…>