GloPID-R Roadmap for Data Sharing in PHEs | Page 20

Standards Consortium (CDISC) 24 ) will also help
to enable cross analysis. The development of a
comprehensive platform for data sharing could
provide standardisation and facilitate coordina-
tion across all these issues, which would help
address complexity. sharing. Authorship of academic papers is
linked to academic advancement through grant
applications and institutional hierarchies. This
incentivises a culture of competition between
researchers, even within the same institution,
and a lack of willingness to share data.
TRUST AND FURTHER
CULTURAL AND
BEHAVIOURAL FACTORS Publishers have already aimed to address this
through the introduction of pre-publication
sharing for data of public health significance
and fast track mechanisms for publication
of results. Some funders align with the San
Francisco Declaration on Research Assessment
to base grant giving on an enhanced definition
of ‘quality’ which encompasses published data
sets and pre-publications 8 .
Trust has been identified as being key to
timely data sharing. Issues with trust have
been identified between research, public
health, NGO and other response communi-
ties. Building trust within a PHE is difficult and
therefore developing collaborations within
inter-epidemic periods is needed.
Networks, established collaborators, training
and capacity building have all be shown to
enable rapid data sharing as a result of pre-ex-
isting protocols, relationships and trust. Building
further multi-expertise and country networks in
advance of PHEs to allow data sharing through
a standardised system with transparent terms
and protocols for data collection and access
and sharing of research data would facilitate
data sharing in future PHEs. It is important that
these international networks build cross-sec-
toral relationships (both academic, public health
and One Health) in advance of PHEs.
ACADEMIC PUBLISHING
MODELS & LINKED
ACADEMIC INCENTIVES
Established academic publishing models
and culture are a clear barrier to timely data
The case studies and funders’ survey indicate
that for many researchers (especially those
in Low and Middle Income Countries - LMICs)
there is remaining concern about data release
jeopardising future publication.
REGULATORY FRAMEWORKS
Ethical approvals, especially within the com-
plex situations of PHEs can slow research and
therefore data sharing. The potential lengthy
approval processes due to additional national
regulatory and legal frameworks can inhibit
international collaboration and data sharing.
Regional and international bodies could en-
courage further harmonisation and stream-
lining of practices including for data sharing.
Nationally tailored, approved legal, ethical and
regulatory frameworks for data sharing in ad-
vance of an outbreak would improve timeliness
in those countries.
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