GloPID-R Roadmap for Data Sharing in PHEs | Page 23

TRANSPARENT: CHALLENGES
& POTENTIAL SOLUTIONS
CULTURAL & BEHAVIOURAL
The case studies highlighted concerns by data
providers that data would not be analysed
appropriately by others (which might in turn
impact on the data providers’ academic cred-
ibility). This resulted in data being shared only
through informal networks of trusted associ-
ates. Such informal networks lack transparency
and accountability and can exclude important
potential users.
More work needs to be done to communi-
cate the benefits and use of formalised re-
search partnerships with Memorandums of
Understanding (MOUs), Material Transfer
Arrangements (MTAs) and Data Transfer
Arrangements (DTAs). These are increasing
in their transparency (about role distribution)
and fairness (in authorship) thereby improving
the scientific recognition for all counterparts.
A cross- cutting data sharing platform would
enable transparent processes and conditions to
be put in place in advance of the next outbreak.
TRANSPARENT
DATA SHARING
PRINCIPLE
T
he process for sharing data and facilitating access should be clearly
explained, outlining how and when the data can be shared and defining the
associated descriptors of the data. Information outlining the process by which
data can be requested and requests considered should be provided, including
timelines and conditions governing use and access.
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