LibGuides: Kinesiology: Research Metrics &amp; Data Management

Research Metrics

Research metrics are quantitative measures that can help you in assessing research outputs, at both article level and at journal level. Use the resources on this page to help you understand what they are and how to use them, whether you’re looking to publish your research, editing a journal or guiding colleagues who need more information.

What are Altmetrics?
Altmetrics are metrics and qualitative data that are complementary to traditional, citation-based metrics. They can include (but are not limited to) peer reviews on Faculty of 1000, citations on Wikipedia and in public policy documents, discussions on research blogs, mainstream media coverage, bookmarks on reference managers like Mendeley, and mentions on social networks such as Twitter. Want to find out the Altmetric details for a paper you’ve published? Open a free account using your YU email for Altmetric Explorer for Institutions. Know more about Altmetric Explorer at YU.
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Secular differences in the association between caloric intake, macronutrient intake....
AFI
Important tools for citation metrics.
Metrics Toolkit
The Metrics Toolkit is a resource for researchers and evaluators that provides guidance for demonstrating and evaluating claims of research impact. With the Toolkit you can quickly understand what a metric means, how it is calculated, and if it’s good match for your impact question.
Research Metrics Guide @ YUL
This guide provides an overview of standard bibliometric approaches, new alternative metrics, and some common tools for accessing both. It also provides information about the limitations of these approaches for measuring research impact.
ORCID
ORICD stands for Open Researcher and Contributor ID, is a free, unique, persistent identifier (PID) for individuals to use as they engage in research, scholarship, and innovation activities.
ORCID Primer_YU.
Enhancing your research visibility
Publish or Perish
Publish or Perish (PoP) is a free software created by Anne-Wil Harzing “that retrieves and analyzes academic citations.” It obtains data from eight sources, and analyzes and presents statistic and scholarly metrics, including author metrics, citation metrics, and journal metrics.

Investments in Open Access Publishing@YUL

York University Libraries (YUL) supports open access publishing at the university by:

Entering into agreements with publishers to secure article processing charge discounts for York authors.
Maintaining memberships and funding commitments with organizations such as the Public Knowledge Project and the Scholarly Publishing and Academic Resources Coalition to support open access publishing nationally and internationally.
Providing open access publishing infrastructure for York-affiliated journals through York Digital Journals.
Managing YorkSpace, York University’s open access institutional repository, which supports York researchers in complying with open access policy requirements.
More information - APC discounts, read and publish agreements, and funding partnerships that support open access publishing.

Research Data Management @ YUL

Research data management (RDM) refers to the processes applied through a research project’s lifecycle that guide the collection, documentation, storage, sharing and preservation of research data.

The three federal research funding agencies—the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), and the Social Sciences and Humanities Research Council of Canada (SSHRC) (the agencies)—have developed the Tri-Agency Research Data Management Policy, which aims to support Canadian research excellence by fostering sound digital data management and data stewardship practices.

York University Dataverse - Scholars Portal Dataverse
Contact yul_rdm@yorku.ca to set up your own Dataverse. The York University Dataverse, a member of Borealis: The Canadian Dataverse Repository, is available to all York University faculty, students and staff needing to deposit data with the institution. Dataverse allows for data to be stored on Canadian servers, released with a DOI, and shared openly or privately with precision at the file level.
Borealis: The Canadian Dataverse Repository
Borealis, the Canadian Dataverse Repository, is a bilingual, multidisciplinary, secure, Canadian research data repository, supported by academic libraries and research institutions across Canada. Borealis supports open discovery, management, sharing, and preservation of Canadian research data.