Evidence map›Paper›PMID 37118270›Full record

ReviewNature food2023

Implications of US agricultural data practices for sustainable food systems research.

Andrea Rissing, Emily K Burchfield, Kaitlyn A Spangler, Britta L Schumacher

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature food, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. We see what we measure.Nature food · 2023
    Article
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

4 authors.

Andrea RissingSchool of Sustainability, Arizona State University, Tempe, AZ, USA. arissing@asu.edu.ORCID 0000-0001-5523-7484
Emily K BurchfieldDepartment of Environmental Sciences, Emory University, Atlanta, GA, USA.ORCID 0000-0003-0459-6270
Kaitlyn A SpanglerDepartment of Geography, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0001-6684-6840
Britta L SchumacherDepartment of Plants, Soils and Climate and Ecology Center, Utah State University, Logan, UT, USA.ORCID 0000-0002-0621-673X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using the tenets of data feminism, we analyse the National Agricultural Statistics Service Quick Stats database - the primary repository of United States agricultural data. We identify unstated assumptions built into the database's scaffolding through data collection, aggregation and dissemination practices, revealing how they facilitate granular analyses of agricultural topics historically judged as national priorities while leaving unilluminated many others of vital importance for contemporary sustainability needs. We argue that this entrenches an inequitable and unsustainable food systems status quo, and we offer recommendations for data providers and users based on principles of reflexivity, context and pluralism.

Indexed as

AgricultureFeminismData CollectionUnited States

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.