scholarly journals Challenges with organization, discoverability and access in Canadian open health data repositories

2021 ◽  
Vol 42 (1) ◽  
Author(s):  
Gail M. Thornton ◽  
Ali Shiri
Keyword(s):  
Best Practices ◽  
Healthcare Delivery ◽  
Analytical Framework ◽  
Health Data ◽  
Data Repositories ◽  
Search Terms ◽  
Advanced Search ◽  
Data Citation ◽  
Access To Health ◽  
Specific Search

Introduction: Open health data provides healthcare professionals, biomedical researchers and the general public with access to health data which has the potential to improve healthcare delivery and policy. The challenge for data providers is to create and implement appropriate metadata, or structured data about the data, to ensure that data are easy to discover, access and re-use. The goal of this study is to identify, evaluate and compare Canadian open health data repositories for their searching, browsing and navigation functionalities, the richness of their metadata description practices, and their metadata-based filtering mechanisms.Methods: Metadata-based search and browsing was evaluated in addition to the number and nature of metadata elements. Canadian open health data repositories across national, provincial and institutional levels were evaluated. Data collected using verbatim text recording was evaluated using an analytical framework based on the 2019 Dataverse North Metadata Best Practices guide and 2019 Data Citation Implementation Project roadmap.Results: All six repositories required filtering to access “open health data”. All six repositories included subject facets for filtering, and title and description on the Results List. Inconsistencies suggest that improvements should address advanced search, health-specific search terms, records for all repositories and links to related publications.Discussion: Consistent use of title and description suggests that an interoperable interface is possible. Records indicate the need for explicit, easy to find mechanisms to access metadata in repositories. The analytical framework represents first draft guidelines for metadata creation and implementation to improve organization, discoverability and access to Canadian open health data.

scholarly journals Code of practice for research data usage metrics release 1

2018 ◽  
Author(s):  
Martin Fenner ◽  
Daniella Lowenberg ◽  
Matt Jones ◽  
Paul Needham ◽  
Dave Vieglais ◽  
...  
Keyword(s):  
Best Practices ◽  
Research Data ◽  
Data Repositories ◽  
Code Of Practice ◽  
Data Usage ◽  
Ongoing Work ◽  
Data Citation ◽  
Standard Report ◽  
First Time ◽  
Usage Metrics

The Code of Practice for Research Data Usage Metrics standardizes the generation and distribution of usage metrics for research data, enabling for the first time the consistent and credible reporting of research data usage. This is the first release of the Code of Practice and the recommendations are aligned as much as possible with the COUNTER Code of Practice Release 5 that standardizes usage metrics for many scholarly resources, including journals and books. With the Code of Practice for Research Data Usage Metrics data repositories and platform providers can report usage metrics following common best practices and using a standard report format. This is an essential step towards realizing usage metrics as a critical component in our understanding of how publicly available research data are being reused. This complements ongoing work on establishing best practices and services for data citation.

scholarly journals Canada’s Health Data Repositories: Challenges of Organization, Discoverability and Access

2019 ◽  
Author(s):  
Ali Shiri ◽  
Gail M. Thornton
Keyword(s):  
Best Practices ◽  
Evidence Based Medicine ◽  
Open Data ◽  
Health Data ◽  
Evidence Based ◽  
Data Repositories ◽  
Data Environment ◽  
Based Medicine

Evidence-based medicine relies on health data. Open health data initiatives need to be supported with data repositories that are optimized for searchability and discoverability. Five Canadian open health data repositories were evaluated for metadata-based searching, browsing, and navigational functionalities. In the different national, provincial and institutional open data repositories evaluated, the preliminary findings reveal the variability in these functionalities. This research will contribute to the development of guidelines and best practices for implementing metadata and searching and browsing functionalities for open health data repositories that will ultimately lead to a more interoperable open health data environment.

scholarly journals Code of practice for research data usage metrics release 1

2018 ◽  
Author(s):  
Martin Fenner ◽  
Daniella Lowenberg ◽  
Matt Jones ◽  
Paul Needham ◽  
Dave Vieglais ◽  
...  
Keyword(s):  
Best Practices ◽  
Research Data ◽  
Data Repositories ◽  
Code Of Practice ◽  
Data Usage ◽  
Ongoing Work ◽  
Data Citation ◽  
Standard Report ◽  
First Time ◽  
Usage Metrics

The Code of Practice for Research Data Usage Metrics standardizes the generation and distribution of usage metrics for research data, enabling for the first time the consistent and credible reporting of research data usage. This is the first release of the Code of Practice and the recommendations are aligned as much as possible with the COUNTER Code of Practice Release 5 that standardizes usage metrics for many scholarly resources, including journals and books. With the Code of Practice for Research Data Usage Metrics data repositories and platform providers can report usage metrics following common best practices and using a standard report format. This is an essential step towards realizing usage metrics as a critical component in our understanding of how publicly available research data are being reused. This complements ongoing work on establishing best practices and services for data citation.

scholarly journals Portrayal of smoking in Nigerian online videos: a medium for tobacco advertising and promotion?

2014 ◽  
Vol 2 (1) ◽  
Author(s):  
Adegoke Oloruntoba Adelufosi ◽  
Olukayode Abayomi
Keyword(s):  
Tobacco Use ◽  
English Language ◽  
Home Video ◽  
Female Protagonists ◽  
Home Videos ◽  
Search Terms ◽  
Cigarette Brand ◽  
Online Videos ◽  
Different Cultures ◽  
Specific Search

The Nigerian home video industry, popularly known as <em>Nollywood</em> is a booming industry, with increasing numbers of easily accessible online videos. The aim of this study was to analyse the contents of popular Nigerian online videos to determine the prevalence of smoking imageries and their public health implications. Using specific search terms, popular English language and indigenous Yoruba language, Nigerian home videos uploaded on <em>YouTube</em> in 2013 were identified and sorted based on their view counts. Data on smoking related scenes such as smoking incidents, context of tobacco use, depiction of cigarette brand, gender of smokers and film rating were collected. Of the 60 online videos whose contents were assessed in this study, 26 (43.3%) had scenes with cigarrete smoking imageries. The mean (SD) smoking incident was 2.7 (1.6), giving an average of one smoking incident for every 26 to 27 min of film. More than half (53.8%) of the films with tobacco use had high smoking imageries. An average of 2 characters per film smoked, mostly in association with acts of criminality or prostitution (57.7%) and alcohol use (57.7%). There were scenes of the main protagonists smoking in 73.1% of the films with scenes of female protagonists smoking (78.9%) more than the male protagonists (21.1%). Smoking imageries are common in popular Nigerian online movies. Given the wide reach of online videos, their potential to be viewed by people from different cultures and to negatively influence youngsters, it is important that smoking portrayals in online movies are controlled.

How do policy transfer mechanisms influence policy outcomes in the context of authoritarianism in Vietnam?

2022 ◽  
Author(s):  
Hang Duong
Keyword(s):  
Best Practices ◽  
Policy Change ◽  
Analytical Framework ◽  
Policy Transfer ◽  
Policy Outcomes ◽  
National Context ◽  
Political Actors ◽  
Authoritarian State ◽  
Convergence And Divergence ◽  
Transfer Mechanisms

The literature on policy transfer shows that it may result in simultaneous policy convergence and policy divergence. However, little is known about how such results happen when transferring from multiple and possibly contrasting sources. This study finds that civil service reforms in Vietnam’s merit-based policies are influenced by both western and Asian models of meritocracy. This makes them both closer to universal ‘best practices’ and at the same time sharpens the distinctiveness of Vietnam’s policy. The calculations of political actors in combination with the context of a one-party authoritarian state have led to policy transfer through mechanisms of translation and assemblage which brings about a hybrid of convergence and divergence. This study enhances understanding of policy transfer in the context of Asian authoritarianism. In finding hybridity in transfer outcomes in this national context, the article shows the uniqueness of resultant policy change and develops an analytical framework for the influence of policy transfer on policy outcomes.

Access to Health Data: Debates and Controversies in France

2018 ◽  
pp. 183-201
Author(s):  
Joumana Boustany ◽  
Gabriella Salzano ◽  
Christian Bourret
Keyword(s):  
Health Data ◽  
Access To Health

scholarly journals VP196 Impact Of Trial Registry Search Features On Searches In CT.gov/ICTRP

2017 ◽  
Vol 33 (S1) ◽  
pp. 240-241
Author(s):  
Elke Hausner ◽  
Marco Knelangen ◽  
Siw Waffenschmidt
Keyword(s):  
Clinical Trials ◽  
New Drugs ◽  
Health Conditions ◽  
Bibliographic Databases ◽  
Trial Registry ◽  
Search Queries ◽  
Search Terms ◽  
Advanced Search ◽  
Approved Drugs ◽  
Clinical Trials Registry

INTRODUCTION:In contrast to bibliographic databases, trial registries do not offer the option of formulating complex search queries, thus making targeted searches more difficult. However, ClinicalTrials.gov (CT.gov) and the International Clinical Trials Registry Platform (ICTRP) offer different search features that may help compensate this limitation. Our aim was to determine the importance of search features (for example, searches using synonyms or, additionally in CT.gov, automatic inclusion of further search fields) for trial registry searches.METHODS:We conducted a project called “Trial registry searches for studies of newly approved drugs” (1). One analysis investigated the question as to whether searches for different health conditions and interventions (new drugs) directly identified registry entries with the search terms entered or whether certain search features were responsible for this. We searched CT.gov and ICTRP for different conditions and interventions using the advanced search interface. For each search, we documented the synonyms listed in the two registries. We imported the registry entries into EndNote and evaluated whether the search terms used were available in the corresponding search fields (condition; intervention).RESULTS:For CT.gov, 96 registry entries on 18 interventions and 190 entries on 12 conditions were analysed. Of these, twenty-three (24 percent) entries for interventions and thirty-eight (20 percent) for conditions were identified by search features, not by search terms. For ICTRP, 32 entries on 10 interventions and 100 entries on 9 conditions were analysed. Of these, five (16 percent) entries for interventions and eight (8 percent) for conditions were identified by search features.CONCLUSIONS:Trial registry search features have an important impact on the sensitivity of searches. Many studies are not identified by the search terms entered, but by searches using synonyms and, additionally in CT.gov, by automatic inclusion of further search fields. Moreover, search features in CT.gov are more effective than in ICTRP – even though the same search terms are used, they consistently yield higher sensitivities.

scholarly journals Best practices for analyzing large-scale health data from wearables and smartphone apps

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Jennifer L. Hicks ◽  
Tim Althoff ◽  
Rok Sosic ◽  
Peter Kuhar ◽  
Bojan Bostjancic ◽  
...  
Keyword(s):  
Best Practices ◽  
Large Scale ◽  
Health Data ◽  
Smartphone Apps
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