Data Science

1 - 6of6

Refine Search

per page:

Relevance

Date

Filters

Select search in areaSearch Term*

Published in

Publication Date

All Dates

LastSelect static range

Custom Range

Select starting monthSelect starting year

ToSelect ending monthSelect ending year

Search Name	Searched On
Subject Areas: Data Science (6)	30 Apr 2024

You do not have any saved searches

OPEN ACCESS
Data science
- Paul D. McNicholas
FACETS • Vol. 4 • No. 1 • pp. 131 - 135
- Full text
OPEN ACCESS
Open government data and environmental science: a federal Canadian perspective
FACETS • Vol. 5 • No. 1 • pp. 942 - 962
Governments worldwide are releasing data into the public domain via open government data initiatives. Many such data sets are directly relevant to environmental science and complement data collected by academic researchers to address complex and challenging environmental problems. The Government of Canada is a leader in open data among Organisation for Economic Co-operation and Development countries, generating and releasing troves of valuable research data. However, achieving comprehensive and FAIR (findable, accessible, interoperable, reusable) open government data is not without its challenges. For example, identifying and understanding Canada’s international commitments, policies, and guidelines on open data can be daunting. Similarly, open data sets within the Government of Canada are spread across a diversity of repositories and portals, which may hinder their discoverability. We describe Canada’s federal initiatives promoting open government data, and outline where data sets of relevance to environmental science can be found. We summarize research data management challenges identified by the Government of Canada, plans to modernize the approach to open data for environmental science and best practices for data discoverability, access, and reuse.
OPEN ACCESS
Rare disease data stewardship in Canada
- Alexander Bernier
FACETS • Vol. 5 • No. 1 • pp. 836 - 863
The Canadian Genomics Partnership for Rare Diseases, spearheaded by Genome Canada, will integrate genome-wide sequencing to rare disease clinical care in Canada. Centralized and tiered models of data stewardship are proposed to ensure that the data generated can be shared for secondary clinical, research, and quality assurance purposes in compliance with ethics and law. The principal ethico-legal obligations of clinicians, researchers, and institutions are synthesized. Governance infrastructures such as registered access platforms, data access compliance offices, and Beacon systems are proposed as potential organizational and technical foundations of responsible rare disease data sharing. The appropriate delegation of responsibilities, the transparent communication of rights and duties, and the integration of data privacy safeguards into infrastructure design are proposed as the cornerstones of rare disease data stewardship.
OPEN ACCESS
Ensuring the success of data sharing in Canada
- David Moher and
- Kelly D. Cobey
FACETS • Vol. 6 • pp. 1534 - 1538
The Canadian federal Tri-Agency Research Data Management Policy has recently been released. This will require Canadian universities and other research institutes to create and share strategic plans regarding data management and to equip their researchers with skills to complete data deposits. To help maximize the success of data sharing we outline five domains for research institutions to consider during implementation: training and education, paying for data sharing, audit and feedback, meta-science, and career advancement.
OPEN ACCESS
The White House’s march towards open science: implications for Canada
- David Moher and
- Kelly D. Cobey
FACETS • Vol. 8 • pp. 1 - 4
- Full text
OPEN ACCESS
Still using genetic data? A comparative review of Canadian life insurance application forms before and after the GNDA
- Amy Fernando,
- Emma Kondrup,
- Katherine Cheung,
- Diya Uberoi, and
- Yann Joly
FACETS • Vol. 9 • pp. 1 - 10
Genetic testing's increased availability has raised concerns about “genetic discrimination” (GD), where individuals may face unfair treatment, particularly when purchasing personal insurance, because of their genetic characteristics. In 2017, Canada passed the Genetic Non-Discrimination Act (GNDA) to prevent GD. This manuscript reviews post-GNDA life insurance application forms and compares them with pre-2014 application forms to assess the impact of the GNDA on insurance practices in Canada. Based on our comparative assessment, we found that the GNDA has had a modest impact on the practice of life insurers in Canada. Our study also confirms that questions about family history of disease and broadly formulated inquiries are still used on life insurance application forms. Both can, in the absence of clear instructions, lead applicants to disclose protected genetic information.

Verify Phone

Congrats!

Search Result

Data science

Open government data and environmental science: a federal Canadian perspective

Rare disease data stewardship in Canada

Ensuring the success of data sharing in Canada

The White House’s march towards open science: implications for Canada

Still using genetic data? A comparative review of Canadian life insurance application forms before and after the GNDA

Create a new account

Request Username

Change Password

Your password must have 8 characters or more and contain 3 of the following:

Password Changed Successfully

LOGIN TO YOUR ACCOUNT