ArticleBiodiversity data journal2018
Data Leakage and Loss in Biodiversity Informatics.
Article in Biodiversity data journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled 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.
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
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Quest for Orthologs in the era of Data Deluge and AI: Challenges and Innovations in Orthology Prediction and Data Integration.Journal of molecular evolution · 2025Review
- A globally synthesised and flagged bee occurrence dataset and cleaning workflow.Scientific data · 2023Article
- phylogatR: Phylogeographic data aggregation and repurposing.Molecular ecology resources · 2022Article
- Open Data Practices among Users of Primary Biodiversity Data.Bioscience · 2021Article
- Spatial phylogenetics of the native woody plant species in Hainan, China.Ecology and evolution · 2021Article
- Multiple forms of hotspots of tetrapod biodiversity and the challenges of open-access data scarcity.Scientific reports · 2020Article
- Article
- No one-size-fits-all solution to clean GBIF.PeerJ · 2020Article
- Biodiversidata: A novel dataset for the vascular plant species diversity in Uruguay.Biodiversity data journal · 2020Article
- Biodiversidata: An Open-Access Biodiversity Database for Uruguay.Biodiversity data journal · 2019Article
- Completeness of Digital Accessible Knowledge (DAK) about terrestrial mammals in the Iberian Peninsula.PloS one · 2019Article
- Article
- florabr: An R package to explore and spatialize species distribution using Flora e Funga do Brasil.Applications in plant sciencesArticle
- expowo: An R package for mining global plant diversity and distribution data.Applications in plant sciencesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The field of biodiversity informatics is in a massive, "grow-out" phase of creating and enabling large-scale biodiversity data resources. Because perhaps 90% of existing biodiversity data nonetheless remains unavailable for science and policy applications, the question arises as to how these existing and available data records can be mobilized most efficiently and effectively. This situation led to our analysis of several large-scale biodiversity datasets regarding birds and plants, detecting information gaps and documenting data "leakage" or attrition, in terms of data on taxon, time, and place, in each data record. We documented significant data leakage in each data dimension in each dataset. That is, significant numbers of data records are lacking crucial information in terms of taxon, time, and/or place; information on place was consistently the least complete, such that geographic referencing presently represents the most significant factor in degradation of usability of information from biodiversity information resources. Although the full process of digital capture, quality control, and enrichment is important to developing a complete digital record of existing biodiversity information, payoffs in terms of immediate data usability will be greatest with attention paid to the georeferencing challenge.
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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.