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Biobanking Development Webinar: Cost recovery model in biobanking

2 November 2023 @ 15:00 - 16:00

CEST
The image is a photo of the two speakers and all the info included in the post.

This webinar is dedicated to explaining the cost recovery model that biobanks/biobankers can use to calculate the costs associated with sample and data provision in order to stay sustainable. This model is currently being implemented in two EU projects; namely ISIDORE and CanSERV.

Within public biobanks, there is no universally acknowledged model for charge/fee calculation for sample and/or data provision. The cost of access varies among countries due to labour expenses and is heavily influenced by the nature and complexity of the collection (i.e., population-based collection vs. specialised collection of unique samples). Considering this, a general cost recovery model has been developed for the calculation of cost depending on the complexity of the request. This may entail that some complex requests would require a more precise calculation to determine whether access to clinical samples and associated data could involves additional costs or is less complicated and allows for reduced costs. This cost recovery model is based on the previous guidelines and calculation grid for biobanks published by Clément et al., 2014 (Clément et al., 2014).

Join us on 2 November from 15:00 – 16:00 CET to find out more. Register online.

Moderator: Dr. Saba Abdulghani, Head of Biobanking Development, BBMRI-ERIC

Speaker: Dr. Łukasz Kozera, Scientific Programme Manager, Biobanking Development, BBMRI-ERIC

Access to Detailed Speaker Profiles

Detailed Agenda:

– Welcome & Introduction

– What is a cost-recovery model and how can biobankers use it?

– Examples from on-going EU projects

– Q&A

Details

Date:
2 November 2023
Time:
15:00 - 16:00
Event Categories:
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Event Tags:
Website:
https://cesnet.zoom.us/webinar/register/WN_HgU5NcP6TeOAmB2CdVZR4g

The website was co-funded within ADOPT BBMRI-ERIC, a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 676550.
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