Evidence map›Paper›PMID 30788398›Full record

ArticleData in brief2019

Summary of the underlying dataset to assist in tracking resilience of rural agricultural communities.

Livia Bizikova, Ruth Waldick

Abstract read
In one paragraph

Article in Data in brief, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Livia BizikovaInternational Institute for Sustainable Development (IISD), Ottawa, ON, Canada.
Ruth WaldickAgri-Food and Agriculture Canada, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A list of indicators that can be used to track resilience of agricultural communities is presented in this brief. The provided data set covers a unique overview of policy-relevant indicators based on data on climate change impacts, vulnerability, adaptation, agriculture and rural development. This data is grouped into six critical sectors that are crucial for policy-makers to track resilience. The data is transferable and can be adjusted to different communities as the listed definitions can be modified to account for the specific local conditions. The indicators were used to identify a set of resilience indicators for rural agricultural communities in Ontario Canada (for details see "An Indicator Set to Track Resilience to Climate Change in Agriculture: A policy-maker׳s perspective" [1]).

Identifiers

PMID30788398
PMCPMC6369312

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.