5,067 research outputs found

    Caring for the patient, caring for the record: an ethnographic study of 'back office' work in upholding quality of care in general practice

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    © 2015 Swinglehurst and Greenhalgh; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.Additional file 1: Box 1. Field notes on summarising (Clover Surgery). Box 2. Extract of document prepared for GPs by summarisers at Clover Surgery. Box 3. Fieldnotes on coding incoming post, Clover (original notes edited for brevity).This work was funded by a research grant from the UK Medical Research Council (Healthcare Electronic Records in Organisations 07/133) and a National Institute of Health Research doctoral fellowship award for DS (RDA/03/07/076). The funders were not involved in the selection or analysis of data nor did they make any contribution to the content of the final manuscript

    The Official Student Newspaper of UAS

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    UAS Answers: Everybody's got one... -- Campus Safety & Security (Clery Act) and Annual Fire Safety Reports -- The Cure for the Scholar with Wanderlust -- Holding onto Hope: A Review of The Oh Hellos -- Thanks for all the MSG -- Suddenly College: Stakeout in the Stacks -- October Snapshots -- Literary Traditions: The Four-Fold Exegesis -- Battling the Seasonal Blues -- Write, Write, Baby -- A Challenger Approaches -- Campus Calenda

    A global occurrence database of the Atlantic blue crab Callinectes sapidus

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    The Atlantic blue crab Callinectes sapidus is a portunid native to the western Atlantic, from New England to Uruguay. The species was introduced in Europe in 1901 where it has become invasive; additionally, a significant northward expansion has been emphasized in its native range. Here we present a harmonized global compilation of C. sapidus occurrences from native and non-native distribution ranges derived from online databases (GBIF, BISON, OBIS, and iNaturalist) as well as from unpublished and published sources. The dataset consists of 40,388 geo-referenced occurrences, 39,824 from native and 564 from non-native ranges, recorded in 53 countries. The implementation of quality controls imposed a severe reduction, in particular from online databases, of the records selected for inclusion in the dataset. In addition, a technical validation procedure was used to flag entries showing identical coordinates but different year of record, in-land occurrences and those located close to the coast. Similarly, a flagging system identified entries outside the known distribution of the species, or associated with unsuccessful introductions

    AdapterRemoval:easy cleaning of next generation sequencing reads

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    BACKGROUND: With the advent of next-generation sequencing there is an increased demand for tools to pre-process and handle the vast amounts of data generated. One recurring problem is adapter contamination in the reads, i.e. the partial or complete sequencing of adapter sequences. These adapter sequences have to be removed as they can hinder correct mapping of the reads and influence SNP calling and other downstream analyses. FINDINGS: We present a tool called AdapterRemoval which is able to pre-process both single and paired-end data. The program locates and removes adapter residues from the reads, it is able to combine paired reads if they overlap, and it can optionally trim low-quality nucleotides. Furthermore, it can look for adapter sequence in both the 5’ and 3’ ends of the reads. This is a flexible tool that can be tuned to accommodate different experimental settings and sequencing platforms producing FASTQ files. AdapterRemoval is shown to be good at trimming adapters from both single-end and paired-end data. CONCLUSIONS: AdapterRemoval is a comprehensive tool for analyzing next-generation sequencing data. It exhibits good performance both in terms of sensitivity and specificity. AdapterRemoval has already been used in various large projects and it is possible to extend it further to accommodate application-specific biases in the data

    Open access revolutions

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    Open Access (OA) databases and publications are revolutionizing the storage and communication of scientific results. OA databases of physical and chemical measurements have been available for a long time, thanks to automated procedures of data acquisition and processing, whereas this is still not possible with marine biodiversity data. The pay-per-view policy is being replaced by the pay-to-be-viewed policy, with authors paying the expenses of the OA to their work. The ethical side of OA is clear: the whole world should be able to profit from new knowledge, not only those who can afford it, especially because research is often paid with public funds. Since funding agencies increasingly ask their beneficiaries to publish their work with OA, OA journals with unclear quality standards are proliferating, and some are publishing unreliable results. Private companies, with either pay-per-view (Scopus, The Web of Knowledge) or OA (Google Scholar) policies, rate the outputs of research. Funding agencies (e.g. Wellcome) are experimenting a further development of the OA strategy, launching OA platforms that they manage directly, with signed peer reviews. Similar experiments are being conducted with databases of raw data. Public funding agencies should also fully embrace this policy. OA policies are still developing, but the route towards a more democratic fashion of making the results of scientific research openly available is mapped out

    Blogs as Infrastructure for Scholarly Communication.

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    This project systematically analyzes digital humanities blogs as an infrastructure for scholarly communication. This exploratory research maps the discourses of a scholarly community to understand the infrastructural dynamics of blogs and the Open Web. The text contents of 106,804 individual blog posts from a corpus of 396 blogs were analyzed using a mix of computational and qualitative methods. Analysis uses an experimental methodology (trace ethnography) combined with unsupervised machine learning (topic modeling), to perform an interpretive analysis at scale. Methodological findings show topic modeling can be integrated with qualitative and interpretive analysis. Special attention must be paid to data fitness, or the shape and re-shaping practices involved with preparing data for machine learning algorithms. Quantitative analysis of computationally generated topics indicates that while the community writes about diverse subject matter, individual scholars focus their attention on only a couple of topics. Four categories of informal scholarly communication emerged from the qualitative analysis: quasi-academic, para-academic, meta-academic, and extra-academic. The quasi and para-academic categories represent discourse with scholarly value within the digital humanities community, but do not necessarily have an obvious path into formal publication and preservation. A conceptual model, the (in)visible college, is introduced for situating scholarly communication on blogs and the Open Web. An (in)visible college is a kind of scholarly communication that is informal, yet visible at scale. This combination of factors opens up a new space for the study of scholarly communities and communication. While (in)invisible colleges are programmatically observable, care must be taken with any effort to count and measure knowledge work in these spaces. This is the first systematic, data driven analysis of the digital humanities and lays the groundwork for subsequent social studies of digital humanities.PhDInformationUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/111592/1/mcburton_1.pd

    Initial Summary of FAR Survey

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    An efficient record linkage scheme using graphical analysis for identifier error detection

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    Integration of information on individuals (record linkage) is a key problem in healthcare delivery, epidemiology, and "business intelligence" applications. It is now common to be required to link very large numbers of records, often containing various combinations of theoretically unique identifiers, such as NHS numbers, which are both incomplete and error-prone
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