Results 11 to 20 of about 1,754,511 (314)

Estimating deaths from foodborne disease in the UK for 11 key pathogens

BMJ Open Gastroenterology, 2020
Objective To estimate the number of deaths from foodborne disease in the UK from 11 key pathogens.Design Four different models were developed using data from a range of sources.
Darren Holland, Laura Thomson, Nazmina Mahmoudzadeh, Abdul Khaled   +3 more
doaj   +1 more source

Building Open Access to Research (OAR) Data Infrastructure at NIST

Data Science Journal, 2019
As a National Metrology Institute (NMI), the USA National Institute of Standards and Technology (NIST) scientists, engineers and technology experts conduct research across a full spectrum of physical science domains.
Gretchen Greene, Raymond Plante, Robert Hanisch   +2 more
doaj   +1 more source

Microbiome Metadata Standards: Report of the National Microbiome Data Collaborative’s Workshop and Follow-On Activities

mSystems, 2021
Microbiome samples are inherently defined by the environment in which they are found. Therefore, data that provide context and enable interpretation of measurements produced from biological samples, often referred to as metadata, are critical.
Pajau Vangay, Josephine Burgin, Anjanette Johnston, Kristen L. Beck, Daniel C. Berrios, Kai Blumberg, Shane Canon, Patrick Chain, John-Marc Chandonia, Danielle Christianson, Sylvain V. Costes, Joan Damerow, William D. Duncan, Jose Pablo Dundore-Arias, Kjiersten Fagnan, Jonathan M. Galazka, Sean M. Gibbons, David Hays, Judson Hervey, Bin Hu, Bonnie L. Hurwitz, Pankaj Jaiswal, Marcin P. Joachimiak, Linda Kinkel, Joshua Ladau, Stanton L. Martin, Lee Ann McCue, Kayd Miller, Nigel Mouncey, Chris Mungall, Evangelos Pafilis, T. B. K. Reddy, Lorna Richardson, Simon Roux, Lynn M. Schriml, Justin P. Shaffer, Jagadish Chandrabose Sundaramurthi, Luke R. Thompson, Ruth E. Timme, Jie Zheng, Elisha M. Wood-Charlson, Emiley A. Eloe-Fadrosh   +41 more
doaj   +1 more source

Identification of Metabolic Syndrome Based on Anthropometric, Blood and Spirometric Risk Factors Using Machine Learning

Applied Sciences, 2020
Metabolic syndrome (MS) is an aggregation of coexisting conditions that can indicate an individual’s high risk of major diseases, including cardiovascular disease, stroke, cancer, and type 2 diabetes.
Sang Yeob Kim, Gyeong Hee Nam, Byeong Mun Heo   +2 more
doaj   +1 more source

The Matrix: Connecting Time and Space in Archaeological Stratigraphic Records and Archives

Internet Archaeology, 2020
The records of archaeological stratigraphic data and the relationships between stratigraphic units are fundamental to understanding the overall cohesiveness of the archaeological archive of an excavation.
Keith May
doaj   +1 more source

Out of Cite, Out of Mind: The Current State of Practice, Policy, and Technology for the Citation of Data

Data Science Journal, 2013
The growth in the capacity of the research community to collect and distribute data presents huge opportunities. It is already transforming old methods of scientific research and permitting the creation of new ones.
CODATA-ICSTI Task Group on Data Citation Standards and PractOut of Cite, Out of Mind: The Current Sices
doaj   +1 more source

The essentials of a database quality process

Data Science Journal, 2003
Many steps are involved in the process of turning an initial concept for a database into a finished product that meets the needs of its user community. In this paper, we describe those steps in the context of a four-phase process with particular emphasis
Dorothy M Blakeslee, John Rumble, Jr.
doaj   +1 more source

Thoughts on Starting the CODATA Data Science Journal

Data Science Journal, 2023
This essay discusses some of the considerations that led to the founding of the [CODATA] Data Science Journal. Three factors were most relevant to the founding.
John Rumble
doaj   +1 more source

Principles for Data Standards

, 2020
Establishing common standards for healthcare data and metadata is a fundamental requirement to enable health data research to improve people’s lives. This document was published in June 2020 and sets out an approach to adopting data standards for health ...
Health Data Research UK
core   +1 more source

Data Standards in Tele-radiology [PDF]

Acta Informatica Medica, 2015
Data standards play an important role to provide interoperability among different system. As other applications of telemedicine, the tele-radiology needs these standards to work properly. In this article, we conducted a review to introduce some data standards about tele-radiology.
Fatehi, Mansoor, Safdari, Reza, Ghazisaeidi, Marjan, Jebraeily, Mohamad, Habibi-koolaee, Mahdi   +4 more
openaire   +2 more sources