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1.
PLoS One ; 14(10): e0223984, 2019.
Article in English | MEDLINE | ID: mdl-31626635

ABSTRACT

In the past scientists reported summaries of their findings; they did not provide their original data collections. Many stakeholders (e.g., funding agencies) are now requesting that such data be made publicly available. This mandate is being adopted to facilitate further discovery, and to mitigate waste and deficits in the research process. At the same time, the necessary infrastructure for data curation (e.g., repositories) has been evolving. The current target is to make research products FAIR (Findable, Accessible, Interoperable, Reusable), resulting in data that are curated and archived to be both human and machine compatible. However, most scientists have little training in data curation. Specifically, they are ill-equipped to annotate their data collections at a level that facilitates discoverability, aggregation, and broad reuse in a context separate from their creation or sub-field. To circumvent these deficits data architects may collaborate with scientists to transform and curate data. This paper's example of a data collection describes the electrical properties of outer hair cells isolated from the mammalian cochlea. The data is expressed with a variant of The Ontology for Biomedical Investigations (OBI), mirrored to provide the metadata and nested data architecture used within the Hierarchical Data Format version 5 (HDF5) format. Each digital specimen is displayed in a tree configuration (like directories in a computer) and consists of six main branches based on the ontology classes. The data collections, scripts, and ontological OWL file (OBI based Inner Ear Electrophysiology (OBI_IEE)) are deposited in three repositories. We discuss the impediments to producing such data collections for public use, and the tools and processes required for effective implementation. This work illustrates the impact that small collaborations can have on the curation of our publicly-funded collections, and is particularly salient for fields where data is sparse, throughput is low, and sacrifice of animals is required for discovery.


Subject(s)
Ear, Inner/physiology , Computational Biology/methods , Data Curation , Databases, Factual , Electrophysiological Phenomena , Humans , Metadata
2.
Med Ref Serv Q ; 36(4): 313-322, 2017.
Article in English | MEDLINE | ID: mdl-29043944

ABSTRACT

In 2015, two librarians at the Hardin Library for the Health Sciences at the University of Iowa turned their dreams into a reality and secured funding to build a zombie-themed evidence-based medicine game. The game features a "choose your own adventure" style that takes students through a scenario where a disease outbreak is taking place and a resident is asked to use evidence-based medicine skills to select a screening and diagnostic tool to use on potentially infected patients. Feedback on the game has been positive, and future plans include building additional modules on therapy, harm, and prognosis.


Subject(s)
Education, Medical/methods , Evidence-Based Medicine/education , Simulation Training/methods , Video Games , Humans , Iowa
3.
Med Ref Serv Q ; 31(1): 34-44, 2012.
Article in English | MEDLINE | ID: mdl-22289094

ABSTRACT

Every major health profession now provides competency statements for preparing new members for their respective professions. These competency statements normally include expectations for training health professions students in library/informatics skills. For purposes of this article, searches were conducted using various sources to produce a comprehensive 32-page Compendium that inventories library/informatics-related competency statements. This compendium should aid readers in integrating their library/informatics skills training into various health professions education curricula.


Subject(s)
Information Storage and Retrieval/standards , Professional Competence , Societies, Medical , Competency-Based Education , Computer Literacy , Curriculum , Educational Measurement , Humans , Medical Informatics/education
4.
Med Ref Serv Q ; 30(1): 42-9, 2011.
Article in English | MEDLINE | ID: mdl-21271451

ABSTRACT

SciVerse is the new combined portal from Elsevier that services their ScienceDirect collection, SciTopics, and their Scopus database. Using SciVerse to access ScienceDirect is the specific focus of this review. Along with advanced keyword searching and citation searching options, SciVerse also incorporates a very useful image search feature. The aim seems to be not only to create an interface that provides broad functionality on par with other database search tools that many searchers use regularly but also to create an open platform that could be changed to respond effectively to the needs of customers.


Subject(s)
Databases as Topic , Information Storage and Retrieval/methods , Publishing , Science , Access to Information , United States , User-Computer Interface
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