Evidence map›Paper›PMID 31897481›Full record

ArticleGigaScience2020

Data detectives, self-love, and humility: a research parasite's perspective.

Claire Duvallet

Abstract read
In one paragraph

Article in GigaScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. A reasonable request for true data sharing.Lancet regional health. Americas · 2024
    Article
  3. Maximizing the utility of public data.Frontiers in genetics · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. 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

1 author.

Claire DuvalletBiobot Analytics, 444 Somerville Avenue, Somerville, MA 02143, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Secondary analysis solidifies and expands upon scientific knowledge through the re-analysis of existing datasets. However, researchers performing secondary analyses must develop specific skills to be successful and can benefit from adopting some computational best practices. Recognizing this work is also key to building and supporting a community of researchers who contribute to the scientific ecosystem through secondary analyses. The Research Parasite Awards are one such avenue, celebrating outstanding contributions to the rigorous secondary analysis of data. As the recipient of a 2019 Junior Research Parasite Award, I was asked to provide some perspectives on life as a research parasite, which I share in this commentary.

Indexed as

Data MiningInformation DisseminationResearchResearch PersonnelBig DataData AnalysisDatabases, FactualDocumentationHumans

Identifiers

PMID31897481
PMCPMC6940423

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.