OSFair2017 Workshop | How FAIR friendly is your data catalogue? (Introduction to workshop)

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Rafael Jimenez, Donatella Castelli, Natalia Manola & Carole Goble make an introduction to the workshop "How FAIR friendly is your data catalogue?" | OSFair2017 Workshop Workshop title: How FAIR friendly is your data catalogue? Workshop overview: This workshop will build upon the work planned by the EOSCpilot data interoperability task and the BlueBridge workshop held on April 3 at the RDA meeting. We will investigate common mechanisms for interoperation of data catalogues that preserve established community standards, norms and resources, while simplifying the process of being/becoming FAIR. Can we have a simple interoperability architecture based on a common set of metadata types? What are the minimum metadata requirements to expose FAIR data to EOSC services and EOSC users? DAY 3 - PARALLEL SESSION 6 & 7

Ciencias

How FAIR Friendly is your data
catalogue?
Rafael Jimenez - ELIXIR-Hub
Donatella Castelli - CNR IT
Natalia Manola - Athena Research & Innovation Centre GR
Carole Goble - The University of Manchester UK

How do we expose metadata from
data catalogues to EOSC services?
http://tinyurl.com/osf-eosc-datacat

EOSC and data interoperability - 30 minutes
10 min •EOSC and EOSCpilot Brian Matthews
STFC
10 min •EOSCpilot data interoperability Rafael C Jimenez
ELIXIR
10 min •Questions and answers All
Data catalogues - 50 minutes
6 min •BlueBridge data catalogue Donatella Castelli
CNR
6 min •EPOS data catalogue Keith Jeffrey
6 min •OMICsDI, a data catalogue for life
sciences
Rafael C Jimenez on behalf of Yasset Perez Riverol
EMBL-EBI
6 min •OpenAIRE, a horizontal data catalogue Paolo Manghi
CNR
6 min •FAIRDOMHub, an asset catalogue for
systems and synthetic biology projects
Carole Goble
The University of Manchester / FAIRDOM
Association e.V.
6 min •FAIRSharing, a metadata catalogue Rafael C Jimenez on behalf of Susanna A Sansone
University of Oxford
6 min •Bioschemas: schema.org for life
sciences
Carole Goble
The University of Manchester / ELIXIR-UK
8 min •Questions and answers All

Reviews and recommendations 20 minutes
5 min
•Outcomes and conclusion of the Data catalogues
workshop organised by BlueBridge at the RDA meeting
Donatella Castelli
CNR
8 min
•Survey results “Towards a common EOSC catalogue” Massimiliano Assante
CNR
2 min
•Survey results “Towards a common EOSC catalogue”: a
matrix perspective
Rafael C Jimenez
ELIXIR
5 min
•Questions and answers All
Group Discussion

Group discussion 70 minutes
We have preliminarily identified 13 principles grouped into 3 areas.
Divide into breakout groups and discuss for each group
1.Which are the priority principles?
2.What are the top 3 obstacles?
3.What are the top 3 items to put on the roadmap to address them?
20 min Reuse: Leverage the rich legacy of Research Infrastructures
•Making data FAIR is the responsibility of the Research Infrastructures and their data
repositories
•We must rely on research infrastructure data catalogues
•We must support an ecosystem of catalogues
•We should provide metadata quality recommendations to feedback to RIs
20 min Least: The least possible metadata for the most benefit
•Findability should come first
•Common and minimum metadata
•Focus on common data types: datasets and data repositories
•Flexible metadata models to embrace domain specifics
•Service requirements and operational metadata first class citizen
20 min Practical: Sustainable and pragmatic delivery
•Engage EOSC demonstrator data repositories
•Propose methods to expose metadata
•Simple to implement, easy to sustain
•Deliver guidelines and demonstrators
10 min Wrap up

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Bollworms are among the most damaging pests in cotton cultivation, affecting the bolls where the cotton fibers are formed. There are several species of bollworms, each capable of causing significant yield loss and quality degradation if not effectively managed. Here’s a detailed look at the primary bollworm species affecting cotton: Cotton Bollworm (Helicoverpa armigera): Also known as the corn earworm or the Old World bollworm, this pest is found in many regions around the world. It is highly polyphagous (feeds on many different plants) and poses a threat not only to cotton but also to maize, tomatoes, and legumes. The larvae bore into the cotton bolls, feeding on the developing seeds and fibers, which can lead to boll rot. Pink Bollworm (Pectinophora gossypiella): A significant pest of cotton, the pink bollworm larvae infest the cotton bolls, feeding on the seeds and lint. This can severely damage or destroy the bolls. In regions where pink bollworms are prevalent, they have been a major driver for the adoption of genetically engineered Bt cotton, which expresses a bacterium gene toxic to certain insects. Tobacco Budworm (Heliothis virescens): Closely related to the cotton bollworm, the tobacco budworm primarily attacks tobacco but is also a common pest in cotton. It primarily damages the flowers and bolls of the cotton plant. Differentiating between the tobacco budworm and the cotton bollworm based on appearance can be challenging, but it is crucial for effective management. American Bollworm (Helicoverpa zea): Known in some regions as the corn earworm, it is similar in behavior to Helicoverpa armigera and poses a threat to a variety of crops, including cotton. The larvae attack the cotton bolls, leading to direct damage to the cotton lint and seeds. Management Strategies: Cultural Controls: Crop rotation, destruction of crop residues, and deep plowing can help break the pest’s life cycle. Timing of planting can also be adjusted to avoid peak pest infestation. Biological Controls: Natural enemies like Trichogramma wasps, which parasitize bollworm eggs, and predators such as lacewings and ladybugs can be encouraged. Bacillus thuringiensis (Bt) products can also be sprayed, which are particularly effective against young larvae. Chemical Controls: Insecticides may be required when infestation levels exceed economic thresholds. However, resistance management must be considered, alternating modes of action to avoid developing resistance. Genetic Approaches: Bt cotton, genetically modified to express Bacillus thuringiensis toxin, has been highly effective in controlling bollworms and has dramatically reduced the reliance on chemical insecticides. Monitoring and Scouting: Regular field scouting and using pheromone traps to monitor adult populations can help in timely and targeted application of control measures. The effective management of bollworms often requires an integrated approach

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OSFair2017 Workshop | How FAIR friendly is your data catalogue? (Introduction to workshop)

1. How FAIR Friendly is your data catalogue? Rafael Jimenez - ELIXIR-Hub Donatella Castelli - CNR IT Natalia Manola - Athena Research & Innovation Centre GR Carole Goble - The University of Manchester UK

2. How do we expose metadata from data catalogues to EOSC services? http://tinyurl.com/osf-eosc-datacat

3. EOSC and data interoperability - 30 minutes 10 min •EOSC and EOSCpilot Brian Matthews STFC 10 min •EOSCpilot data interoperability Rafael C Jimenez ELIXIR 10 min •Questions and answers All Data catalogues - 50 minutes 6 min •BlueBridge data catalogue Donatella Castelli CNR 6 min •EPOS data catalogue Keith Jeffrey 6 min •OMICsDI, a data catalogue for life sciences Rafael C Jimenez on behalf of Yasset Perez Riverol EMBL-EBI 6 min •OpenAIRE, a horizontal data catalogue Paolo Manghi CNR 6 min •FAIRDOMHub, an asset catalogue for systems and synthetic biology projects Carole Goble The University of Manchester / FAIRDOM Association e.V. 6 min •FAIRSharing, a metadata catalogue Rafael C Jimenez on behalf of Susanna A Sansone University of Oxford 6 min •Bioschemas: schema.org for life sciences Carole Goble The University of Manchester / ELIXIR-UK 8 min •Questions and answers All

4. Reviews and recommendations 20 minutes 5 min •Outcomes and conclusion of the Data catalogues workshop organised by BlueBridge at the RDA meeting Donatella Castelli CNR 8 min •Survey results “Towards a common EOSC catalogue” Massimiliano Assante CNR 2 min •Survey results “Towards a common EOSC catalogue”: a matrix perspective Rafael C Jimenez ELIXIR 5 min •Questions and answers All Group Discussion

5. Group discussion 70 minutes We have preliminarily identified 13 principles grouped into 3 areas. Divide into breakout groups and discuss for each group 1.Which are the priority principles? 2.What are the top 3 obstacles? 3.What are the top 3 items to put on the roadmap to address them? 20 min Reuse: Leverage the rich legacy of Research Infrastructures •Making data FAIR is the responsibility of the Research Infrastructures and their data repositories •We must rely on research infrastructure data catalogues •We must support an ecosystem of catalogues •We should provide metadata quality recommendations to feedback to RIs 20 min Least: The least possible metadata for the most benefit •Findability should come first •Common and minimum metadata •Focus on common data types: datasets and data repositories •Flexible metadata models to embrace domain specifics •Service requirements and operational metadata first class citizen 20 min Practical: Sustainable and pragmatic delivery •Engage EOSC demonstrator data repositories •Propose methods to expose metadata •Simple to implement, easy to sustain •Deliver guidelines and demonstrators 10 min Wrap up

Notas del editor

to establish principles propose recommendations and demonstrate how FAIR data hosted by domain specific data repositories can be exposed to EOSC to be used and reused by EOSC services and users.

OSFair2017 Workshop | How FAIR friendly is your data catalogue? (Introduction to workshop)

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OSFair2017 Workshop | How FAIR friendly is your data catalogue? (Introduction to workshop)

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