Evidence map›Paper›PMID 33205093›Full record

ArticlePatterns (New York, N.Y.)2020

The End-to-End Provenance Project.

Aaron M Ellison, Emery R Boose, Barbara S Lerner, Elizabeth Fong, Margo Seltzer

Abstract readNews
PubMed Full text at PMC Publisher
In one paragraph

Article in Patterns (New York, N.Y.), 2020. 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. 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

5 authors.

Aaron M EllisonHarvard University, Harvard Forest, 324 North Main Street, Petersham, MA 01366, USA.
Emery R BooseHarvard University, Harvard Forest, 324 North Main Street, Petersham, MA 01366, USA.
Barbara S LernerDepartment of Computer Science, Mount Holyoke College, South Hadley, MA 01075, USA.
Elizabeth FongDepartment of Computer Science, Mount Holyoke College, South Hadley, MA 01075, USA.
Margo SeltzerDepartment of Computer Science, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data provenance is a machine-readable summary of the collection and computational history of a dataset. Data provenance confers or adds value to a dataset, helps reproduce computational analyses, or validates scientific conclusions. The people of the End-to-End Provenance Project are a community of professionals who have developed software tools to collect and use data provenance.

Identifiers

PMID33205093
PMCPMC7660413

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.