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hereinafter referred to as GDE2 2 ), which describes SSD2 transmission requirements, metadata and general business rules definition which might be integrated for each data collection through a business rule engine. 

In this remit EFSA has developed and is maintaining a set of controlled terminologies. It is of fundamental importance the effort done by EFSA in the field of food description and classification. 

EFSA defined the FoodEx food classification and description system to allow food coding across data domains. The first guidance on FoodEx was published in 2012 3  and an updated guidance document was published in 2015 4  (here after referred to as FoodEx2). 

In this context, EFSA is seeking the support of a contractor for scientific data management activities and processes. 

This call is based on EFSA’s 2021 Work Programme for grants and operational procurements as presented in Annex XIa of the Programming Document 2021 –  2023, available on the EFSA’s website 5 . 

## 1.2 OBJECTIVES 

The present Call for tenders aims to conclude a framework contract up to a maximum of 4 years with one contractor. 

The framework contract will be implemented through specific contracts or order forms. 

Every time there is a need for a service/activity, EFSA will request to the contractor an offer based on the prices agreed under the framework contract. Once the estimate provided by the contractor is accepted by EFSA, a specific contract or order form will be concluded between EFSA and the contractor. 

The specific contract or order form will set out the specific conditions for performing the individual assignment. For more details on the administrative implementation modalities of the framework contract please refer to section 1.4 of these tender specifications. 

The contractor must be able to carry out several individual assignments in parallel and to provide the required services within assigned time and according to quality criteria defined by EFSA. 

The objective of this call for tender is to acquire support in the following areas: 

a. Scientific data management: 

i. Data collection and data connection; 

ii. Management of standard and controlled terminology; 

iii. Data flows for integration and transformation; 

iv. Scientific data validation; 

v. Identity management; 

