Evidence map›Paper›PMID 39351001›Full record

ReviewFrontiers in big data2024

Current state of data stewardship tools in life science.

Anna Aksenova, Anoop Johny, Tim Adams, Phil Gribbon, Marc Jacobs, Martin Hofmann-Apitius

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in big data, 2024. 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. Article
  2. Review
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

6 authors.

Anna AksenovaBonn-Aachen International Center for Information Technology (B-IT), University of Bonn, Bonn, Germany.
Anoop JohnyDepartment of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Sankt Augustin, Germany.
Tim AdamsDepartment of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Sankt Augustin, Germany.
Phil GribbonFraunhofer Institute for Translational Medicine and Pharmacology, Discovery Research Screening Port, Hamburg, Germany.
Marc JacobsDepartment of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Sankt Augustin, Germany.
Martin Hofmann-ApitiusBonn-Aachen International Center for Information Technology (B-IT), University of Bonn, Bonn, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In today's data-centric landscape, effective data stewardship is critical for facilitating scientific research and innovation. This article provides an overview of essential tools and frameworks for modern data stewardship practices. Over 300 tools were analyzed in this study, assessing their utility, relevance to data stewardship, and applicability within the life sciences domain.

Indexed as

data interoperabilitydata sharingdata stewardship toolsFAIRliterature reviewmappingresearch data repositories

Identifiers

PMID39351001
PMCPMC11439729

What Socratic 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 Socratic graph.