Share Research Work

Romain Royer

,

Marketing Cooperator

January 6, 2022

10 min

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

Let's present below some tips and methods to avoid errors, stress and 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.

The researcher at the center of information sharing

     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 must verify the good quality of the data to make decision for the future.

share research work
Picture 01: Information sharing around the breeder.

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.

Picture 02: Challenges to share data.

3 case studies to optimize data exchanges in your information system

This scenario shows how to share research work between a trial manager and a technician. They can share information and collaborate in a data collection process thanks to RnDExp®.

Picture 03: Information sharing in Testing.

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.

Picture 04: Information sharing with the lab.

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

Sharing information from the research database is always delicate. Research department and sales department work together to produce the classical "Brochure report", or even a innovative web map to present variety and hybrid performances.

Picture 05: Information sharing for seed marketing.

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. It spreads 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.

It encourages collaboration between researchers. Improving indirectly the quality of data exchanged, and reducing the redundancy of data production to save resources and investments. It's important for the valuation of research data. It allows breeders to centralize and compile phenotypic and genomic information from different sources.

Picture 06: Advantages of research work sharing.

Picture 07: Benefits of sharing research work.

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 information system RnDExp® connecting transverse research activities.


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.

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