ArticleDatabase : the journal of biological databases and curation2020
People are essential to linking biodiversity data.
Article in Database : the journal of biological databases and curation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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
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Who cites it
11 citing papers in PubMed.
- Wikidata for botanists: benefits of collaborating and sharing Linked Open Data.Annals of botany · 2025Article
- Quantitative and qualitative Data on historical Vertebrate Distributions in Bavaria 1845.Scientific data · 2025Article
- National biodiversity data infrastructures: ten essential functions for science, policy, and practice.Bioscience · 2025Article
- Unsupervised literature mining approaches for extracting relationships pertaining to habitats and reproductive conditions of plant species.Frontiers in artificial intelligence · 2024Article
- Creating a multi-linked dynamic dataset: a case study of plant genera named for women.Biodiversity data journal · 2023Article
- phylogatR: Phylogeographic data aggregation and repurposing.Molecular ecology resources · 2022Article
- The disambiguation of people names in biological collections.Biodiversity data journal · 2022Article
- Wikidata and the bibliography of life.PeerJ · 2022Article
- Open Data Practices among Users of Primary Biodiversity Data.Bioscience · 2021Article
- An Australian collector's authority file, 1973-2020.Biodiversity data journal · 2021Article
- A botanical demonstration of the potential of linking data using unique identifiers for people.PloS one · 2021Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
People are one of the best known and most stable entities in the biodiversity knowledge graph. The wealth of public information associated with people and the ability to identify them uniquely open up the possibility to make more use of these data in biodiversity science. Person data are almost always associated with entities such as specimens, molecular sequences, taxonomic names, observations, images, traits and publications. For example, the digitization and the aggregation of specimen data from museums and herbaria allow us to view a scientist's specimen collecting in conjunction with the whole corpus of their works. However, the metadata of these entities are also useful in validating data, integrating data across collections and institutional databases and can be the basis of future research into biodiversity and science. In addition, the ability to reliably credit collectors for their work has the potential to change the incentive structure to promote improved curation and maintenance of natural history collections.
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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.