ArticleApplications in plant sciences2017
The frontier of data discoverability: Why we need to share our data.
Article in Applications in plant sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Retrieving biodiversity data from multiple sources: making secondary data standardised and accessible.Biodiversity data journal · 2024Article
- A minimum data standard for vector competence experiments.Scientific data · 2022Article
- A data management workflow of biodiversity data from the field to data users.Applications in plant sciences · 2019Article
- MIReAD, a minimum information standard for reporting arthropod abundance data.Scientific data · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We are now in an era where sharing and making data widely accessible are not only expected within many disciplines, but also required by federal granting agencies and many scientific journals. In addition, there are practical reasons why authors should deposit their data into permanent data repositories: (1) it prevents data loss due to accidents, theft, or death of the researcher; (2) it enables published research to be reproduced by others; (3) publications associated with accessible data sets can have higher citation rates; (4) deposited data sets are increasingly recognized for scholarly recognition and professional advancement; and (5) stored and accessible data can be used in the future for projects that are unanticipated today.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.