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1.
Biol Lett ; 14(9)2018 09.
Article in English | MEDLINE | ID: mdl-30185609

ABSTRACT

Large-scale analysis of the fossil record requires aggregation of palaeontological data from individual fossil localities. Prior to computers, these synoptic datasets were compiled by hand, a laborious undertaking that took years of effort and forced palaeontologists to make difficult choices about what types of data to tabulate. The advent of desktop computers ushered in palaeontology's first digital revolution-online literature-based databases, such as the Paleobiology Database (PBDB). However, the published literature represents only a small proportion of the palaeontological data housed in museum collections. Although this issue has long been appreciated, the magnitude, and thus potential significance, of these so-called 'dark data' has been difficult to determine. Here, in the early phases of a second digital revolution in palaeontology--the digitization of museum collections-we provide an estimate of the magnitude of palaeontology's dark data. Digitization of our nine institutions' holdings of Cenozoic marine invertebrate collections from California, Oregon and Washington in the USA reveals that they represent 23 times the number of unique localities than are currently available in the PBDB. These data, and the vast quantity of similarly untapped dark data in other museum collections, will, when digitally mobilized, enhance palaeontologists' ability to make inferences about the patterns and processes of past evolutionary and ecological changes.


Subject(s)
Databases, Factual/statistics & numerical data , Fossils , Invertebrates , Animals , California , Museums/statistics & numerical data , Oregon , Paleontology/methods , Washington
2.
Aliment Pharmacol Ther ; 22(10): 935-42, 2005 Nov 15.
Article in English | MEDLINE | ID: mdl-16268967

ABSTRACT

BACKGROUND: Irritable bowel syndrome is a common gastrointestinal disorder, and its prevalence and demographics have been evaluated by different methodologies with varying results. AIM: To evaluate irritable bowel syndrome demographic and prevalence characteristics utilizing a web-enabled panel. METHODS: From an existing 150 000-member panel, 31 829 individuals were randomly selected and sent screening questionnaires to evaluate irritable bowel syndrome symptoms. Individuals who agreed to participate and completed the screening questionnaire received a second questionnaire related to a diagnosis of irritable bowel syndrome, a more detailed symptom description, and additional burden of illness data. RESULTS: Irritable bowel syndrome prevalence was 7%. Prevalence was higher in women vs. men, unmarried individuals vs. married individuals and unemployed individuals vs. employed individuals. Of those completing the second questionnaire, 51% had seen their physicians for irritable bowel syndrome symptoms in the past year and most had an episode within the past 3 months. During the past year, approximately half of the participants had used a prescription medication, and over 90% had used an over-the-counter medication for irritable bowel syndrome. Participants with irritable bowel syndrome demonstrated quality-of-life reductions relative to norms of the United States population. CONCLUSIONS: Web-enabled data collection represents a novel tool for rapidly surveying a large population of individuals with irritable bowel syndrome symptoms.


Subject(s)
Irritable Bowel Syndrome/epidemiology , Adult , Aged , Data Collection/methods , Demography , Female , Humans , Internet , Male , Middle Aged , Prevalence , Surveys and Questionnaires , United States/epidemiology
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