Evidence map›Paper›PMID 37601125›Full record

ArticleProceedings. IEEE International Conference on Bioinformatics and Biomedicine2019

Toward FAIR Knowledge Turns in Bioinformatics.

Robert Schuler, Alejandro Bugacov, Matthew Blow, Carl Kesselman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings. IEEE International Conference on Bioinformatics and Biomedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Towards Co-Evolution of Data-Centric Ecosystems.Scientific and statistical database management : International Conference, SSDBM ... : proceedings. International Conference on Scientific and Statistical Database Management · 2020
    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.

Robert SchulerUSC Information Sciences Institute.
Alejandro BugacovUSC Information Sciences Institute.
Matthew BlowLawrence Berkeley National Laboratory.
Carl KesselmanUSC Information Sciences Institute.

Funding

USC FaceBase III Craniofacial Development and Dysmorpholoy Data Management and Integration HubU01DE028729 · NIDCR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHAI, YANG, KESSELMAN, CARL · 2019 to 2023
$13.9M
FaceBase 2 Coordinating CenterU01DE024449 · NIDCR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KESSELMAN, CARL · 2014 to 2018
$10.2M
NIDCR NIH HHS U01 DE024449NIDCR NIH HHS U01 DE028729
6 · The paper itself

Abstract

Sharing of bioinformatics data within research communities holds the promise of facilitating more rapid discovery, yet the volume of data is growing at a pace exponentially greater than what traditional biocuration can support. We present here an approach that we have used to empower data producing researchers to curate high quality shared data that is ready for reuse and re-analysis.

Identifiers

PMID37601125
PMCPMC10436804

What OpenQuestion holds

Textmetadata
LicenceTDM
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.