“Elaborate statistics are not substitute
for meticulous experimentation.”
G.W. Snedecor

Share Research Work

8min

How to share breeding data and processes efficiently throughout the research department ?

Let's present below some tips and methods to avoid errors and stress, reach "Real Time", through 3 scenarios of efficient collaborative work: Order biotech analysis and retrieve the MM results ; Share field trial work with technicians ; And communicate variety and hybrid performances with the Product Development department.

At the center of the research work is the researcher

   

The Breeder's work environment sketch

If we consider a fixed date and time, now, the researcher has to share research information with other persons, or laboratories, inside his organization, or outside his organization.

Also, notably in life science, the researcher needs to take in account the life of the studied objects in the past, at least how have been produced these objects, or if apparented objects, like parents objects, have been studied in past years.

Now, once researcher is able to gather all these information on the life objects, from several experiments, and from experiment done in the past, he will have to be sure he has a high quality data set to make decision for the future.

Information system challenges for data sharing

   

To share efficiently data, an information system should respond to basic criteria.

The first one is about the quality, notably centralization and normalization of data. For example, standardized processes ensure the homogeneity of data: same codification rules, same variables, same methods.

The second one is about the confidentiality. Security and confidentiality between Activities (Breeding and Testing), Crop teams (Wheat team or Corn team), and Department (R&D, Sales, Management), for instance thanks to data access rules or presentations.

The third one is about the technologies used to exchange data, import/export from devices (automatic synchronization) and easy web access to some commercial or public data.

3 case studies to optimize data exchanges in your information system

   

Share research work between a trial manager and a technician

The objective of this scenario is to show you how they can share information and collaborate in a data collection process thanks to RnDExp®.

Watch the details of this scenario on the Webinar "Share Research Work" Replay Video at 5'19"

   

Share research work between a breeder and a lab technician

Collaborative work using common database and compatible processes to analyze samples from a nursery.

Watch the details of this scenario on the Webinar "Share Research Work" Replay Video at 9'32"

   

Share research work between research department and sales department

Sharing information from the research database is always delicate. We present the classical "Brochure report" system, and an innovative way to present variety and hybrid performances on a web map.

Watch the details of this scenario on the Webinar "Share Research Work" Replay Video at 12'35"

So, in the end, what are the benefits of an effective collaboration within the research department ?

   
   
  • Share research information enables to manage data and resources in real time. Allowing the researchers to have a better reactivity and decision making regarding breeding process hazards or advancement of tasks.
  • Share research informations preads best practices in research department. Allowing breeders to compare different methods and define some standards to improve the efficiency of the work and save time.
  • Share research information encourages collaboration between researchers. Improving indirectly the quality of data exchanged, and reducing the redundancy of data production to save resources and investments.
  • Share research information is important for the valuation of research data. It allows breeders to centralize and compile phenotypic and genomic information from different sources.

 

 

The content of this article comes from a webinar presented by Rudy MEZINO, Agronomist and business engineer at Doriane® SAS, with real case studies using the transversal research information system RnDExp®.


Doriane's team is pleased to share with you its 30 years of experience alongside Seed Companies, Technical Institutes, Agricultural Cooperatives and Food Industries. We deliver consulting services, custom collaborative information systems (RnDExp™ Custom), breeding and testing cloud services (RnDExp™ SaaS) and the offline agronomy data collection application RnDExp™ Mobile.

Watch the webinar replay : https://youtu.be/L42LhbaIxAk

Suscribe to the next Doriane Webinars : https://www.doriane.com/webinar

Watch other Wabinar Replays :  https://www.doriane.com/webinar

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Doriane, your R&D IT partner

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About Doriane

The expertise of Doriane brings the three players of R&D the resources to organize, share and valorize their research projects:
RESEARCH DEPARTMENTS: Fast implementation of business processes ; Liberation of researchers creativity
IT DEPARTMENTS: Real-time centralization of multilocation data ; Security and integrity of data
MANAGEMENT: Maximization of research investments ; Research departments monitoring ; Intellectual assets valorization and sustainability

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