GloPID-R Roadmap for Data Sharing in PHEs | Page 33

Recommendation 1. sets necessary high
standards for expectations on data sharing
for GloPID-R grantees. Associated aligned
tool improvement and capacity strengthening
(for the whole research system) will be neces-
sary to ensure that grantees can meet these
standards and that they do not disadvantage
researchers, particularly in LMICs.
2a. Align to improve guidance for Data
Management Plans in grant applications.
To require a DMP for each project and to in-
clude coordinated expectation and guidance
from GloPID-R funders for the development
and enforcement of DMPs. Guidance should
cover all aspects of GloPID-R data sharing
principles (and FAIR principles 9 ), covering
Material and Data Transfer Agreements
(aligning with WHO guidance).
Clear and robust DMPs can support implementing rapid
data sharing policies, grant conditions /contracts or
guidance and facilitating data sharing. Some funders
provide support in developing these data sharing
plans, but this could be a key area for further capacity
building. The quality of funder review of these data
management plans will also be important in ensuring
effective data sharing.
2b. Align on the use of standardised tools and
approaches to support international research
collaborations & data sharing, including MTAs
& DTAs.
The various templates and standardised
tools developed and endorsed by organisa-
tions such as WHO, Chatham House 10 and
CDISC 24 need to be promoted and embedded
in GloPID-R funded researchers’ work through
their DMPs. Further work should be supported
on the creation of common protocols, consent
forms, data capture forms, outcome meas-
ures and data standards to facilitate data
analysis across countries and studies within
the inter-pandemic period and fostering cross
inter-disciplinary network collaboration (link to
recommendation 2c).
Standardised trusted tools would speed up data
sharing and prevent the delays caused by translation is
certain cases, where documents can only be signed in
the national language. The GloPID-R website could be
used to highlight these.
2c. Fund capacity strengthening in data man-
agement and analysis (linked to 3a to enable
equity).
Capacity development needs to be funded
across a broad range of data management
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Recommendation
RECOMMENDATION 2
ALIGN TOOLS AND
STRENGTHEN CAPACITY