GloPID-R Roadmap for Data Sharing in PHEs | Page 25

EQUITABLE: CHALLENGES
& POTENTIAL SOLUTIONS
NEED FOR AGREED GUIDELINES
The case studies did not highlight any in-
stances of barriers to equitable data sharing
(although they could not fully explore the many
actors who may have wanted to but failed to
gain access to the data). Equitable data shar-
ing was identified through pre-established
networks where the agreed protocols required
there to be no cost implications. There is a
need for more open data sharing practices to
increase equity.
FAIRNESS: CHALLENGES
& POTENTIAL SOLUTIONS
ALIGNMENT WITH
NATIONAL NEEDS
Closer alignment of funders’ research and capac-
ity building priorities with that of national priori-
ties in PHEs has been recommended to ensure
research is more closely aligned with country
needs. Funders could also develop clearer expec-
tations for such alignment for their grantees.
CAPACITY IMBALANCES
Fears of ‘data exploitation’ can result from
power and capacity imbalances. Partnerships
need to be equitable with clear expectations.
Arrangements need to be formalised through
collaborative agreements or specific MTAs or
DTAs to appropriately acknowledge all par-
ties involved. Capacity imbalances need to
be addressed through support to develop the
skills of those contributing to data collection to
support data management and data analysis.
The involvement of national/local sources of
surveillance and research in further analysis
generated by their data should be clearly stated
in MTAs or DTAs. Feedback from the data that
has been shared and ongoing partnership would
also improve fairness. The Research Fairness
Initiative provides useful guidance on fairness
including data: www.rfi.cohred.org
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