36 research outputs found
Lessons Learned: Mike Leahy
Recommended Citation Sim Esmen, Yasemin (2022) Lessons Learned: Mike Leahy, Journal of Financial Crises: Vol. 4 : Iss. 4, 622-625. Available at: https://elischolar.library.yale.edu/journal-of-financial-crises/vol4/iss4/3
YPFS Lessons Learned Oral History Project: An Interview with Mike Leahy
Suggested citation form: Leahy, Mike, 2022. “Lessons Learned Interview by Yasemin Sim Esmen, October 22, 2020.†Yale Program on Financial Stability Lessons Learned Oral History Project. Transcript. https://ypfs.som.yale.edu/library/ypfs-lesson-learned-oral-history-project-interview-mike-leah
Towards a Step Change in Managing Research Data at Western Sydney University: Assessment of the Active Data Management Ecosystem
This paper describes the approach taken by Western Sydney University in the assessment of a turnkey research data management platform. Key recommendations from the Active Research Data Management Element of the Research Data Management Framework developed by the Australian Research Data Commons were implemented. WSU-derived research data are currently stored across many different silos and there is consideration of management of data through research data management plans. However, the use of metadata is not consistent and often non-existent. WSU trialled the use of the Idea package provided by Cloud Services provider Intersect, which is based on Mediaflux, for the management of research data throughout the full data lifecycle from collection to archiving. The Active Research Data Management Element provided useful insights into the assessment of Idea in the areas of data management, use of metadata, automated data workflows, research data governance and the criteria for platform selection
Metadata: A Case Study at Western Sydney University: Assessment of Metadata Schema for Active Research Data Management
Western Sydney University has engaged Cloud Services provider Intersect to provide access to Mediaflux on an Intersect research data management platform called Idea . Idea has been designed with the intention of managing research data throughout the full data lifecycle from collection to archiving. WSU-derived research data are currently stored across many different silos and there is consideration of management of data through research data management plans. However, the use of metadata is not consistent.
As part of the Australian Research Data Commons (ARDC) National Data Assets Initiative, the ARDC funded a collaborative multi-university Institutional Underpinnings project to develop a national Institutional Research Data Management Framework (the Framework). Several essential Elements to the Framework were developed, one of which is the Active Research Data Management Element . The intention of this Element is to provide “institutions with guidance to ensure that research practice is efficient and impactful, and that research data is managed according to requirements such as those outlined in The Australian Code for the Responsible Conduct of Research”.
Our approach at Western Sydney University in implementation of the Active Research Data Management Element of the Framework was to take the turnkey Idea platform, configure using a default metadata schema and engage with researchers in ingesting live research project datasets. This case study evaluates the metadata schema to reflect active research datasets uploaded directly from a data source to the Idea research data repository.
The Idea platform provides the ability for researchers to curate, manage, protect and disseminate research data. It will also provide the capacity for handling data from research instrument platforms as increasingly, the University’s research infrastructure requires a component that automates metadata creation and storage for aspects of the research cycle
Barriers to Exercise and Nutrition for Special Olympics Athletes
Problem
People with intellectual disability (ID) have higher rates of obesity.
Special Olympics Vermont (SOVT) athletes compete in sports events throughout the year.
Athletes may lose fitness between seasons.
Their nutrition habits remain unknown. •Barriers to exercise and nutrition remain unknown.
Goal
We were tasked with designing a successful exercise and nutrition program for SOVT athletes.https://scholarworks.uvm.edu/comphp_gallery/1215/thumbnail.jp
Radio galaxy zoo EMU: towards a semantic radio galaxy morphology taxonomy
© 2023 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/)We present a novel natural language processing (NLP) approach to deriving plain English descriptors for science cases otherwise restricted by obfuscating technical terminology. We address the limitations of common radio galaxy morphology classifications by applying this approach. We experimentally derive a set of semantic tags for the Radio Galaxy Zoo EMU (Evolutionary Map of the Universe) project and the wider astronomical community. We collect 8486 plain English annotations of radio galaxy morphology, from which we derive a taxonomy of tags. The tags are plain English. The result is an extensible framework, which is more flexible, more easily communicated, and more sensitive to rare feature combinations, which are indescribable using the current framework of radio astronomy classifications.Peer reviewe
Radio Galaxy Zoo EMU : Towards a Semantic Radio Galaxy Morphology Taxonomy
We present a novel natural language processing (NLP) approach to deriving plain English descriptors for science cases otherwise restricted by obfuscating technical terminology. We address the limitations of common radio galaxy morphology classifications by applying this approach. We experimentally derive a set of semantic tags for the Radio Galaxy Zoo EMU (Evolutionary Map of the Universe) project and the wider astronomical community. We collect 8,486 plain English annotations of radio galaxy morphology, from which we derive a taxonomy of tags. The tags are plain English. The result is an extensible framework which is more flexible, more easily communicated, and more sensitive to rare feature combinations which are indescribable using the current framework of radio astronomy classifications
Long Covid active case finding study protocol: A co-produced community-based pilot within the STIMULATE-ICP study (Symptoms, Trajectory, Inequalities and Management: Understanding Long-COVID to Address and Transform Existing Integrated Care Pathways)
Background and aim Long Covid is a significant public health concern with potentially negative implications for health inequalities. We know that those who are already socially disadvantaged in society are more exposed to COVID-19, experience the worst health outcomes and are more likely to suffer economically. We also know that these groups are more likely to experience stigma and have negative healthcare experiences even before the pandemic. However, little is known about disadvantaged groups' experiences of Long Covid, and preliminary evidence suggests they may be under-represented in those who access formal care. We will conduct a pilot study in a defined geographical area in London, United Kingdom to test the feasibility of a community-based approach of identifying Long Covid cases that have not been clinically diagnosed and have not been referred to Long Covid specialist services. We will explore the barriers to accessing recognition, care, and support, as well as experiences of stigma and perceived discrimination. Methods This protocol and study materials were co-produced with a Community Advisory Board (CAB) made up primarily of people living with Long Covid. Working with voluntary organisations, a study leaflet will be distributed in the local community to highlight Long Covid symptoms and invite those experiencing them to participate in the study if they are not formally diagnosed. Potential participants will be assessed according to the study's inclusion criteria and offered the opportunity to participate if they fit them. Awareness of Long Covid and associated symptoms, experiences of trying to access care, as well as stigma and discrimination will be explored through qualitative interviews with participants. Upon completion of the interviews, participants will be offered a referral to the local social prescribing team to receive support that is personalised to them potentially including, but not restricted to, liaising with their primary care provider and the regional Long Covid clinic
STIMULATE-ICP-Delphi (Symptoms, Trajectory, Inequalities and Management: Understanding Long-COVID to Address and Transform Existing Integrated Care Pathways Delphi): Study protocol
Introduction As mortality rates from COVID-19 disease fall, the high prevalence of long-term sequelae (Long COVID) is becoming increasingly widespread, challenging healthcare systems globally. Traditional pathways of care for Long Term Conditions (LTCs) have tended to be managed by disease-specific specialties, an approach that has been ineffective in delivering care for patients with multi-morbidity. The multi-system nature of Long COVID and its impact on physical and psychological health demands a more effective model of holistic, integrated care. The evolution of integrated care systems (ICSs) in the UK presents an important opportunity to explore areas of mutual benefit to LTC, multi-morbidity and Long COVID care. There may be benefits in comparing and contrasting ICPs for Long COVID with ICPs for other LTCs. Methods and analysis This study aims to evaluate health services requirements for ICPs for Long COVID and their applicability to other LTCs including multi-morbidity and the overlap with medically not yet explained symptoms (MNYES). The study will follow a Delphi design and involve an expert panel of stakeholders including people with lived experience, as well as clinicians with expertise in Long COVID and other LTCs. Study processes will include expert panel and moderator panel meetings, surveys, and interviews. The Delphi process is part of the overall STIMULATE-ICP programme, aimed at improving integrated care for people with Long COVID. Ethics and dissemination Ethical approval for this Delphi study has been obtained (Research Governance Board of the University of York) as have approvals for the other STIMULATE-ICP studies. Study outcomes are likely to inform policy for ICPs across LTCs. Results will be disseminated through scientific publication, conference presentation and communications with patients and stakeholders involved in care of other LTCs and Long COVID