Lot 1: Panel platform for recruiting Canadian participants: The objective is to follow the 882 Canadian participants who took part in Time 0 (July-August 2026) of the SUBSTANCES project's longitudinal study, and were subsequently followed in Time 1 (September 2026). Continuing the longitudinal protocol therefore requires the ability to follow these same participants for Time 2 (December 2026), Time 3 (March 2027), and finally Time 4 (June 2027). The platform must ensure continuity of the sample between the different waves of this one-year longitudinal study and, thus, allow for the re-recruitment of precisely the same participants as those recruited at the previous measurement points. Lot 2: Platform for collecting and managing longitudinal survey data: To enable the deployment of the SUBSTANCES project, it is necessary to acquire a software license that allows for the creation, distribution, collection, processing, and analysis of survey data. This license is required to ensure the continuation of a longitudinal study comprising five measurement points, the first three of which will already have been deployed. Points 0, 1, and 2 have already been designed, configured, and administered using an existing SaaS platform. Continuing the study at Points 3 and 4 requires maintaining the operational and methodological continuity of the environment used for the previous phases. The license must therefore allow the use of the questionnaires, blocks, variables, branching logic, distribution methods, access rights, and data collection parameters already configured for the initial measurement points. The mere ability to export a questionnaire or data is insufficient to demonstrate the capacity to reproduce the complete operational environment of the study.

The Higher education establishments, research organisations, and innovation bodies in France from Europe region had released this tender for Lot 1: Panel platform for recruiting Canadian participants: The objective is to follow the 882 Canadian participants who took part in Time 0 (July-August 2026) of the SUBSTANCES project's longitudinal study, and were subsequently followed in Time 1 (September 2026). Continuing the longitudinal protocol therefore requires the ability to follow these same participants for Time 2 (December 2026), Time 3 (March 2027), and finally Time 4 (June 2027). The platform must ensure continuity of the sample between the different waves of this one-year longitudinal study and, thus, allow for the re-recruitment of precisely the same participants as those recruited at the previous measurement points. Lot 2: Platform for collecting and managing longitudinal survey data: To enable the deployment of the SUBSTANCES project, it is necessary to acquire a software license that allows for the creation, distribution, collection, processing, and analysis of survey data. This license is required to ensure the continuation of a longitudinal study comprising five measurement points, the first three of which will already have been deployed. Points 0, 1, and 2 have already been designed, configured, and administered using an existing SaaS platform. Continuing the study at Points 3 and 4 requires maintaining the operational and methodological continuity of the environment used for the previous phases. The license must therefore allow the use of the questionnaires, blocks, variables, branching logic, distribution methods, access rights, and data collection parameters already configured for the initial measurement points. The mere ability to export a questionnaire or data is insufficient to demonstrate the capacity to reproduce the complete operational environment of the study. with tender notice no. 2026PAEUSER002 published on 19 Oct 2026. The tender expired on 29 Oct 2026. This tender is sourced from Marches publics and is eligible for suppliers interested in Customer Relation Management software package. Interested bidders can obtain further information including complete bid documents or ways to participate by registering on Tender Impulse and referencing via Tender Impulse ID 15632109.