ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2016
Biodiversity analysis in the digital era.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Fauna of some families of Coleoptera (Insecta) in the Republic of Mordovia (Russia).Biodiversity data journal · 2024Article
- Russian Biodiversity Collections: A Professional Opinion Survey.Animals : an open access journal from MDPI · 2023Article
- Prediction of temperature tolerance iniScience · 2021Article
- One Digital Health: A Unified Framework for Future Health Ecosystems.Journal of medical Internet research · 2021Article
- Distribution of endemic angiosperm species in Brazil on a municipality level.Biodiversity data journal · 2021Article
- Linking dimensions of data on global marine animal diversity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- Effective ecosystem monitoring requires a multi-scaled approach.Biological reviews of the Cambridge Philosophical Society · 2020Article
- Biospytial: spatial graph-based computing for ecological Big Data.GigaScience · 2020Article
- Use of web-based species occurrence information systems by academics and government professionals.PloS one · 2020Article
- Article
- From writing to reading the encyclopedia of life.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Article
- The importance of digitized biocollections as a source of trait data and a new VertNet resource.Database : the journal of biological databases and curation · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper explores what the virtual biodiversity e-infrastructure will look like as it takes advantage of advances in 'Big Data' biodiversity informatics and e-research infrastructure, which allow integration of various taxon-level data types (genome, morphology, distribution and species interactions) within a phylogenetic and environmental framework. By overcoming the data scaling problem in ecology, this integrative framework will provide richer information and fast learning to enable a deeper understanding of biodiversity evolution and dynamics in a rapidly changing world. The Atlas of Living Australia is used as one example of the advantages of progressing towards this future. Living in this future will require the adoption of new ways of integrating scientific knowledge into societal decision making.This article is part of the themed issue 'From DNA barcodes to biomes'.
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.