Evidence map›Paper›PMID 24622612›Full record

ArticleDatabase : the journal of biological databases and curation2014

GigaDB: promoting data dissemination and reproducibility.

Tam P Sneddon, Xiao Si Zhe, Scott C Edmunds, Peter Li, Laurie Goodman, Christopher I Hunter

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Conservation and Divergence ofPlants (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Increased interactivity and improvements to the GigaScience database, GigaDB.Database : the journal of biological databases and curation · 2019
    Article
  7. Current Challenges in Plant Eco-Metabolomics.International journal of molecular sciences · 2018
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. 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

6 authors.

Tam P SneddonDepartment of Genetics, Stanford University, USA, GigaScience team, BGI HK Research Institute, 16 Dai Fu Street, Tai Po Industrial Estate, Hong Kong.
Xiao Si Zhe
Scott C Edmunds
Peter Li
Laurie Goodman
Christopher I Hunter

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Often papers are published where the underlying data supporting the research are not made available because of the limitations of making such large data sets publicly and permanently accessible. Even if the raw data are deposited in public archives, the essential analysis intermediaries, scripts or software are frequently not made available, meaning the science is not reproducible. The GigaScience journal is attempting to address this issue with the associated data storage and dissemination portal, the GigaScience database (GigaDB). Here we present the current version of GigaDB and reveal plans for the next generation of improvements. However, most importantly, we are soliciting responses from you, the users, to ensure that future developments are focused on the data storage and dissemination issues that still need resolving. Database URL: http://www.gigadb.org.

Indexed as

Databases, GeneticInformation DisseminationAuthorshipPublicationsReproducibility of Results

Identifiers

PMID24622612
PMCPMC3950661

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.