ArticlePloS one2014
The GBIF integrated publishing toolkit: facilitating the efficient publishing of biodiversity data on the internet.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 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
80 citing papers in PubMed.
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- Opening doors to physical sample tracking and attribution in Earth and environmental sciences.Scientific data · 2025Article
- Root-associated microbiota of decline-affected and asymptomatic Pinus sylvestris trees.Scientific data · 2025Article
- Presence-only data for wild ungulates and red fox in Spain based on hunting yields over a 10-year period.Scientific data · 2025Article
- National biodiversity data infrastructures: ten essential functions for science, policy, and practice.Bioscience · 2025Article
- The Microbe Directory: a centralized database for biological interpretation of microbiome data.Database : the journal of biological databases and curation · 2025Article
- Data mobilisation for historical records of vascular plants in eastern Asia: V. L. Komarov's expedition to Far-Eastern Russia, China and Korea from 1895 to 1897.Biodiversity data journal · 2025Article
- The digitisation workflow of the herbarium of the State Museum of Natural History of the NAS of Ukraine (LWS).Biodiversity data journal · 2025Article
- The dragonflies in the collection of Sapienza University of Rome.Biodiversity data journal · 2025Article
- Fragmented Networks: Challenges in communication and cohesion of European Biodiversity Research Infrastructures.Biodiversity data journal · 2025Article
- Article
- Mapping environmental suitability changes for arbovirus mosquitoes in Southeast Asia: 1960-2020.iScience · 2024Article
- Distribution and habitat database of fluvial Plecoptera, Trichoptera and Coleoptera from Sierra Nevada, Spain.Scientific data · 2024Article
- Humid and cold forest connections in South America between the eastern Andes and the southern Atlantic coast during the LGM.Scientific reports · 2024Article
- Arctos: Community-driven innovations for managing natural and cultural history collections.PloS one · 2024Article
- Monitoring data on the effect of domestic livestock and rabbits onBiodiversity data journal · 2024Article
- Evolutionary ecomorphology for the twenty-first century: examples from mammalian carnivores.Proceedings. Biological sciences · 2023Review
- From fossils to mind.Communications biology · 2023Review
- Association between the potential distribution of Lutzomyia longipalpis and Nyssomyia whitmani and leishmaniasis incidence in Piauí State, Brazil.PLoS neglected tropical diseases · 2023Article
20 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The planet is experiencing an ongoing global biodiversity crisis. Measuring the magnitude and rate of change more effectively requires access to organized, easily discoverable, and digitally-formatted biodiversity data, both legacy and new, from across the globe. Assembling this coherent digital representation of biodiversity requires the integration of data that have historically been analog, dispersed, and heterogeneous. The Integrated Publishing Toolkit (IPT) is a software package developed to support biodiversity dataset publication in a common format. The IPT's two primary functions are to 1) encode existing species occurrence datasets and checklists, such as records from natural history collections or observations, in the Darwin Core standard to enhance interoperability of data, and 2) publish and archive data and metadata for broad use in a Darwin Core Archive, a set of files following a standard format. Here we discuss the key need for the IPT, how it has developed in response to community input, and how it continues to evolve to streamline and enhance the interoperability, discoverability, and mobilization of new data types beyond basic Darwin Core records. We close with a discussion how IPT has impacted the biodiversity research community, how it enhances data publishing in more traditional journal venues, along with new features implemented in the latest version of the IPT, and future plans for more enhancements.
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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.