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ShareScore release 0.7.1
Dataset results
5 results for “general internal medicine”
Dataset of "A multi-method approach to drafting candidate entrustable professional activities for a general internal medicine residency programme"
<p>The present Dataset is related to a study on "A multi-method approach to drafting candidate entrustable professional activities for a general internal medicine residency programme" and include :</p> <ul> <li>The "Voting sheet model" used for the 1st round of voting according to the RAND appropriateness method</li> <li>The tables of aggregate results after round 1 and after round 2 of the RAND appropriateness method, with subgroup analysis</li> <li>A document describing which items where chosen to be included in round 2 of voting and why (file name "Summary_Decisions_.....")</li> <li>The list of candidate EPA (Entrustable Professional Activities) selected after 2 round of rating by the expert panel. This list of 225 EPA had not yet undergone the quality check using the EQual-Criteria (DOI: 10.1097/ACM.0000000000001908)</li> </ul> <p><strong><u><span>Methods:</span></u></strong><span> We set up a multi-step approach including a systematic review of the international literature; four national focus groups; a national consensus process using a RAND appropriateness method and a quality check of the </span><u><span>selected candidate EPAs using Equal criteria.</span></u></p> <p><strong><u><span>Results:</span></u></strong><span> </span><span>These steps generated a final list of 247 candidate EPAs in GIM </span><span>that were submitted for the national consensus process. A</span><span>fter two rounds of rating, experts agreed on the appropriateness for the GIM postgraduate training of 225 of the candidate EPAs. Twenty-two of the proposed EPAs were deemed inappropriate and disagreement persisted only for two EPAs.</span><span> </span></p> <p> </p> <p><strong>General description of the data set :</strong></p> <p>o Nature: aggregated, analysed data</p> <p>o Mode of collection: experimental</p> <p>o Format: unstructured text, database</p> <p> </p>
Public availability of research data in General and Internal Medicine journals
<p>Metrics and Journals including supplementary material classification sorted by quartile of the JCR “Medicine, General & Internal” category (2019 Science Citation Index Edition)</p>
Quality Improvement in Handover of General Internal Medicine In-patients
ClinicalTrials.gov study NCT01796756. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Evaluation of an Online Application for Point of Care Ultrasound Training in General Internal Medicine Residents
ClinicalTrials.gov study NCT07372053. IPD Sharing: YES. Countries: 1. Publications: 0.
Open Access Status of the 20 Journals with the highest JIF-Scores within the Subject Category General & Internal Medicine
<p>An Overview on the twenty journals with the highest Journal Impact Factors within the Subject Category General & Internal Medicine and their status as Open Access or Closed Access Journals.</p>
ScienceDex guides
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.