[cdif-community] A data engineering approach to tracking global climate resilience

[Asha CODATA]

*An article illustrating the importance and benefits of the data
engineering <https://doi.org/10.5281/zenodo.14236140> approach recommended
by the WorldFAIR Policy Brief <https://doi.org/10.5281/zenodo.14236140>,
was published on 19th August 2026 on the UNDRR’s PreventionWeb site
<https://www.preventionweb.net/drr-community-voices/data-engineering-approach-tracking-global-climate-resilience>.*

*‘A data engineering approach to tracking global climate resilience
<https://www.preventionweb.net/drr-community-voices/data-engineering-approach-tracking-global-climate-resilience>’
outlines the challenges related to developing consistent, efficient, and
accurate methods for assessing the Belém indicators
<https://unfccc.int/sites/default/files/resource/cma2025_19_a02.pdf> (adopted
at the 30th United Nations Climate Change Conference in November 2025
<https://unece.org/environmental-policy/events/unfccc-cop30>) for measuring
progress towards climate resilience.  Also described are how
the Cross-Domain Interoperability Framework (CDIF)
<https://cdif.codata.org/>, the CDIF4EOSC project
<https://cdif4eosc.eu/> and other tools and methods supported by CODATA
<https://codata.org/> can help realise meet these challenges.*


*The article was written by Bapon Fakhruddin, co-chair of the CODATA FAIR
Data for Disaster Risk Research Task Group
<https://codata.org/initiatives/task-groups/fair-data-for-disaster-risk-research/>,
with input from Matti Heikkurinen, CODATA Project Portfolio Manager.*

The adoption of 59 indicators for the Global Goal on Adaptation (GGA)
<https://unfccc.int/topics/adaptation-and-resilience/workstreams/gga> at
the 2025 United Nations Climate Change Conference (COP30)
<https://unfccc.int/cop30> in Belém represents a significant development in
measuring climate adaptation. After a decade in which international
commitments were expressed largely through general formulations such as
“enhancing resilience” and “reducing vulnerability”, Parties now have a
defined set of measurable dimensions. These include water stress, crop
yields, health system readiness, infrastructure resilience, and the
protection of cultural heritage.

However, the value of any such indicator set depends entirely on whether
the reporting entities measure the same phenomena using comparable methods.
That condition is not yet satisfied, and meeting it constitutes the
substantive work now ahead.

Adaptation is not a single dataset. It comprises numerous distinct data
holdings distributed across national hydrological and meteorological
services (NHMSs), sectoral ministries, national disaster management
authorities (NDMAs), utilities, environmental and biodiversity monitoring
programmes, and, of particular importance, the accumulated knowledge of
local communities that have adapted to their environments over generations.

Each of these sources operates within its own technical conventions. For
example, one country may define a “climate-resilient road” as a road
designed to withstand a 1-in-50-year flood, while another may use a
1-in-100-year standard. As a result, data that appear similar may not be
directly comparable unless the definitions, units, and evidence
requirements are clearly documented. […]

*Read more on PreventionWeb
<https://www.preventionweb.net/drr-community-voices/data-engineering-approach-tracking-global-climate-resilience>.*


*Thanks,*

*Asha*
--
___________________________

*Launch of CDIF4EOSC and CDIF v.1.1: recording and presentations
now available!*
<https://codata.org/launch-of-cdif4eosc-and-cdif-v-1-1-recording-and-presentations-now-available/>

*Blog Post: Urban FAIRscape at the Urban and Climate Risk Data Lab*
<https://codata.org/urban-fairscape-at-the-urban-and-climate-risk-data-lab/>

*Call for applications to host International Data Week 2029, deadline 2 Nov
2026*
<https://codata.org/call-for-applications-to-host-international-data-week-2029/>

July 2026 publications
<https://codata.org/read-now-july-2026-publications-in-the-data-science-journal/>
in
the CODATA Data Science Journal <https://datascience.codata.org/>


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___________________________

Asha Law | Program Assistant, CODATA | http://www.codata.org

E-Mail: asha at codata.org
Tel (Office): +33 1 45 25 04 96

CODATA (Committee on Data of the International Science Council)
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