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Data · dataset · 2026

Experts agreement on key elements of transformational adaptation to climate risks

Listed in DANS Data Station Social Sciences and Humanities and ODISSEI Portal — shown once because both records carry DOI 10.17026/ss/wawcq4

This data is collected in the context of a NWO_VIDI project and aims to collect expert views on the key elements that constitute transformational adaptation to climate risks.

Description

Experts on transformational adaptation to climate risks form a small but rapidly emerging group and the topic has gaine considerable interest in recent years. Data collection took place via three rounds of surveys using Qualtrics software.

In round one, experts rated the relevance of 27 elements, provided qualitative justifications for their ratings, and suggested missing elements. In round two, experts re-evaluated the elements for which there was little agreement in round 1, considering the controlled opinion feedback. All responses from round 1 were anonymized and summarized where needed by the researchers.

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Experts rated the relevance of a few additional elements that were suggested by multiple experts in round one. In the third round experts evaluated two definitional statements derived from earlier responses. The Delphi panel comprised n=99 participants in Round1, n=64 in Round2, and n=52 in Round3.

In Round1, participants included researchers (n=26), practitioners (n=27), mixed profiles (n=28), and those who preferred not to answer (n=18); the distribution was similar in subsequent rounds (Round2: n= 17, 17, 18, 12; Round3: n=15, 13, 15, 9). Regional foci were diverse, including Africa (Round2: n=10; Round3: n=7), the Americas (n=7; n=5), Asia/Middle East (n=5; n=4), Europe (n=12; n=10), and Oceania (n=4; n=3), while many reported no specific regional focus (n=24; n=21).

Participants worked across multiple administrative levels, most commonly national (n=38; n=31) and local (n=43; n=34), followed by province (n=28; n=24), community (n=29; n=22), global (n=27; n=21), and regional (n=20; n=17).

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Stated by source
Social Sciences · Social Sciences
Provenance · 2 source records, 14 field assertions
SourceKeyLast seenRaw
DANS Data Station Social Sciences and Humanitiesdoi:10.17026/SS/WAWCQ410 d agoJSON v1
ODISSEI Portaldoi:10.17026/SS/WAWCQ47 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4101enrichment · ssh datastations nltaxonomy-embedding@1.1.0title+keywords+description (75%)
concepts[field].dataverse_subject:social-sciencessource · ssh datastations nlconnector:ssh_datastations_nl@1.0.0/subjects
concepts[field].dataverse_subject:social-sciencessource · portal odissei nlconnector:portal_odissei_nl@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · portal odissei nlconnector:portal_odissei_nl@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · ssh datastations nlconnector:ssh_datastations_nl@1.0.0/subjects
concepts[field].local:field:humanitiesmapping · ssh datastations nlconnector:ssh_datastations_nl@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · ssh datastations nlconnector:ssh_datastations_nl@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · portal odissei nlconnector:portal_odissei_nl@1.0.0/subjects
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descriptionsource · ssh datastations nlconnector:ssh_datastations_nl@1.0.0/description
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version_labelsource · ssh datastations nlconnector:ssh_datastations_nl@1.0.0