Quality process and data compliance
Researchers are working in a scientific environment that is increasingly demanding with regard to the quality of the data produced and used in their research work. Within the different entities, databases are created by researchers and doctoral students. In order to make full use of this data, they should be standardised and harmonised, framed by a quality process based on organisational tools and diagnostic methods. At each stage of the data lifecycle process, the aim is to ensure that every effort has been made to guarantee that the data collected is reliable, traceable, reproducible, durable and transferable.
MoISA : a pilot unit of the EcoSocio Department of INRAE in terms of the quality process and data compliance
Against a backdrop of increasing protection of personal data and the key challenge of ensuring the anonymity of the persons surveyed as well as the confidentiality and security of their data, the unit implements a policy of accompanying its staff. This policy meets the need for compliance with regard to the new regulatory demands, and in particular General Data Protection Regulation (GDPR). This regulation is thus the starting point for this internal policy.
Beyond increased awareness and the compliance of data processing activities, the aim of this policy is to ensure the reliability, traceability, durability, reproducibility and transferability of the data. These aims echo the FAIR principles (Findable, Accessible, Interoperable and Reusable).
Access poster for scientists: Process of applying the GDPR to research activities
MoISA, "spearhead" for personal data in the field of SHS
The Unit benefits from the support of two data quality officers who are also DPO co-correspondents (Data Protection Officers) and operational data consultants. Communication concerning the implementation of the quality process and the need to comply with the regulatory requirements is organised through awareness workshops. These workshops focus on the General Data Protection Regulation (GDPR) and the unit’s Data Management Plan (DMP), which also ensures that the demands of the donors, financers and scientific reviews are met.
The MoISA Unit is a pilot unit for the adaptation of these processes to the particularities of data in the field of SHS, and more particularly personal data. These good practices are communicated to staff within the unit (researchers, doctoral students, undergraduates), to the scientific community of Montpellier and of France as a whole, and to the staff of any other partner organisations who request them. In light of this, researchers in countries of the South who are partners of the CIRAD have been able to benefit from training courses organised as part of the CIRAD incentive actions entitled “Capacity building for Cirad partner researchers of the South”.
MoISA, the data registration process
A vast variety of data is processed within MoISA and data processing can only be authorized if it complies with GDPR regulatory requirements.
To help you in your registration procedure, which is mandatory prior to any survey, a flowchart is available to show you the step-by-step procedure to follow.
View flowchart
Training courses
1 - The essentials of a quality process in developing field surveys
Aim: Researchers are working in a scientific environment that is increasingly demanding with regard to the quality of the data produced and used in their research work. Within the different entities, databases are created by researchers and doctoral students. In order to make full use of this data, they should be standardised and harmonised, framed by a quality process based on organisational tools and diagnostic methods. At each stage of the data lifecycle process, the aim is to ensure that every effort has been made to guarantee that the data collected is reliable, traceable, reproducible, durable and transferable
Duration: 1.5 days
Dates: on request
Target public: researchers and doctoral students conducting field surveys
Trainers: Magali Aubert (INRAE) and Pascale Morin (CIRAD)
2 - Incorporation and implementation of the General Data Protection Regulation (GDPR)
Aim: The scientific community is working in an environment in which the regulatory constraints and the demands of donors are increasingly stringent. Researchers must therefore ensure that their data processing activities comply with the new General Data Protection Regulation (GDPR) while developing a management plan for this data. This training course reflects the rapidly changing environment. The aim is to provide researchers with the tools to accept, understand and meet the regulatory requirements as well as those of the scientific community.
Duration: 1 day
Dates: on request
Target public: Any researcher, doctoral student, technician or assistant required to process personal data. From data collection to archiving, everyone involved in the research must comply with this new European regulation. This includes the directors of research units who are responsible for all data processing activities carried out in their unit, regardless of the institutional affiliation of the member of staff working in their unit.
Trainers: Magali Aubert (INRAE) and Pascale Morin (CIRAD)
Classes
Annual classes have been organised for the past four years within the scope of Doctoral Schools 58 and 60.
This year, the class is entitled: “Quality of quantitative survey data against an increasingly stringent regulatory backdrop – construction of questionnaires, structure of databases and self-assessment of processing practices”
It will be held from 17 to 20 April 2023.
Trainers: Magali Aubert (INRAE) and Pascale Morin (CIRAD)
-> To find out more about classes, click here
You will then access the catalogue containing all the training courses, ED 58 and ED 60 2022-2023.
Productions
Posters are available to guide you through the process:
Tutorial video on the use of the Data Stewardship Wizard (DSW):