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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.
Informatics, Data science, Agricultural and Biological Sciences, Biodiversity Conservation and Ecosystem Management, Georeferencing, place, informatics, Business, Biology (General), Environmental resource management, time, Marketing, Species Distribution Modeling and Climate Change Impacts, Geography, Ecology, Human–computer interaction, Ecological Modeling, Life Sciences, Biodiversity, 004, usability, Physical Sciences, Impact of Pollinator Decline on Ecosystems and Agriculture, Research Article, 570, QH301-705.5, Usability, biodiversity data, Environmental science, Time, FOS: Economics and business, Service (business), informatics, Fitness for use, Data mining, Biology, Ecology, Evolution, Behavior and Systematics, taxon, Nature and Landscape Conservation, Digitization, Data quality, Biodiversity data, Species Distribution Modeling, Computer science, Geographic referencing, georeferencing, fitness for use, digitization, FOS: Biological sciences, Place, geographic referencing, Environmental Science, Taxon, Species Richness
Informatics, Data science, Agricultural and Biological Sciences, Biodiversity Conservation and Ecosystem Management, Georeferencing, place, informatics, Business, Biology (General), Environmental resource management, time, Marketing, Species Distribution Modeling and Climate Change Impacts, Geography, Ecology, Human–computer interaction, Ecological Modeling, Life Sciences, Biodiversity, 004, usability, Physical Sciences, Impact of Pollinator Decline on Ecosystems and Agriculture, Research Article, 570, QH301-705.5, Usability, biodiversity data, Environmental science, Time, FOS: Economics and business, Service (business), informatics, Fitness for use, Data mining, Biology, Ecology, Evolution, Behavior and Systematics, taxon, Nature and Landscape Conservation, Digitization, Data quality, Biodiversity data, Species Distribution Modeling, Computer science, Geographic referencing, georeferencing, fitness for use, digitization, FOS: Biological sciences, Place, geographic referencing, Environmental Science, Taxon, Species Richness
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 27 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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