29 Works

How to do Data Science feat. Dr. Donald Brown

Don Brown
The new era of data science has provided the means to collect, process and analyze large and small sets of data from diverse sources to produce solutions to complex problems in a variety of applications. The data range from large document collections, to streaming sensor data, to images and videos. This presentation describes the field of data science and gives an overview to how to conduct data science to support of organizational objectives. We then...

Incentives and Challenges

Dean Evasius, Karen Johnston, Sana Syed, Philip Bourne & Bart Ragon
Team science is a collaborative approach to addressing complex scientific questions. It engages the strengths of scientists from different fields, backgrounds, and expertise, often to solve the grand challenges of society. The iTHRIV Team Science Learning Shorts is a series of interviews with team science practitioners exploring the fundamentals of team science, team science participation, and the institutional supports. Learning Shorts are brief, digestible online educational offerings organized around a specific topic.

The NIH Genomic Data Sharing (GDS) Policy

Medard Ng
If your human subjects research includes any genetic research and/or specimen banking, this Learning Shot explains why you may wish to include the genomic data sharing language in the consent form from the beginning of your research. This helps ensure that you will avoid the possibility of re-consenting subjects in the future if your future research may be subject to the NIH Genomic Data Sharing Policy. This video also provides a brief overview of the...

Best Practices in Data Visualization: Part 1

Marieke Jones
This Learning Short series, "How Humans See Data: Best Practices in Data Viz "(Part 1 and Part 2), explores best practices in data visualization, specifically how humans see data. This two part series will enable researchers to consider these principals when preparing their own data visualizations, helping to ensure clear and concise understanding of the data being presented.

OER at UVA Explainer Video

Hanni Nabahe
These slides were used to create a 2-min explainer video (see https://vimeo.com/468954965) that illustrates what makes Open Educational Resources so ideal, the rewards of engaging in open pedagogical practices, and a few discipline-specific examples. Adapt it and share it!

Data Science: Framework Overview

Brian Wright
This learning shot in the Data Science Series will focus on the complete Data Science Framework. This domain will define data science as a conceptual model of the field using the 4+1 model:

Keywords in Native American and Indigenous Studies: Language, Naming, Sovereignty, and Power in Libraries and Information Science

Allison Bigelow
This 30 minute lecture discusses pertinent issues in naming of Native American tribes and facilitating discovery of materials in ways that account for historic terminology familiar to users and terminology preferred by the content owners.

Tracing Meadow Creek

Jacob Johnson, Jane Lee & Theodore Teichman
This video is an experiential exploration of the easternmost portion of Meadow Creek bordering the Locust Grove neighborhood of Charlottesville, Virginia. Narrated from the perspective of the creek itself, anomalies along its path are taken as points of departure for revealing the layers of infrastructural and human-urban intervention that have transformed the creek over time. It invites viewers to take a more expansive view of the creek’s identity as more than its literal waters.

Responsible Engineering Across Cultures

Rockwell Clancy
Due to the increasingly international nature of engineering, what is considered appropriate varies. This leads to the importance of research that identifies educational interventions with the greatest effects on ethical reasoning and moral intuitions, as well as whether these effects differ among cultural and national groups.

Best Practices in Data Visualization: Part 2

Marieke Jones
This Learning Short series, "How Humans See Data: Best Practices in Data Viz "(Part 1 and Part 2), explores best practices in data visualization, specifically how humans see data. This two part series will enable researchers to consider these principals when preparing their own data visualizations, helping to ensure clear and concise understanding of the data being presented.

Using online tools to support collaboration

Sana Syed, Karen Johnston, Philip Bourne & Bart Ragon
Team science is a collaborative approach to addressing complex scientific questions. It engages the strengths of scientists from different fields, backgrounds, and expertise, often to solve the grand challenges of society. The iTHRIV Team Science Learning Shorts is a series of interviews with team science practitioners exploring the fundamentals of team science, team science participation, and the institutional supports. Learning Shorts are brief, digestible online educational offerings organized around a specific topic.

The Locklyn Mill of Locust Grove

Caitlin Caum
Gristmills like Locklyn Mill transformed the physical and cultural landscape of Locust Grove, Central Virginia, and the globe. At the height of wheat production in Virginia, mills played a large part in sustaining social structures, economic power based on ownership of the land, and community development and eventually, decline. The capitalist-based culture highly relied on the exploitation of land, natural resources, and people into order to thrust a select few into prominence. This presentation explores...

Miscataloging the Archive

Carmen Lamas
This 30 minute lecture discusses research in Latinx literature, and how conventional library practices in description may not fully represent the characters and themes found therein.

Data Science in Clinical Research: Injury Prevention

Thomas Hartka
This learning shot in the Data Science Series is an example of incorporating data science concepts into clinical research. In this learning shot, Thomas Hartka, MD explains the importance of developing practical prediction tools that can be implemented in clinical practice.

Data Science: Past, Present, Future

Brian Wright
This Intro to Data Science Learning Shot is the first in a series of introductions to the field of data science. In this learning shot, Dr. Brian Wright discusses the history of data science, what is happening in today's environment and what the future may hold for data science

What is Libra: 2020 Open Access Week

Sherry Lake
Recorded talk on "What is Libra? UVa's Scholarly Institutional Repository" created for 2020 Open Access Week. Slides with notes are included Libra is a set of repositories that provides open access to publicly available content such as journal articles, monographs, conference proceedings, presentations, posters, reports, pre-prints. It also contains data and other products of research. AND Libra is the online source for UVA's Theses and dissertations. Libra, as the institutional repository for UVa, is the...

Text Recycling in Scientific Research Writing

Cary Moskovitz
This short presentation introduces the Text Recycling Project, which aims to investigate researchers' reuse of materials from their own prior work in new documents.

Recommendations for researchers new to team science

Dean Evasius, Karen Johnston, Sana Syed, Philip Bourne & Bart Ragon
Team science is a collaborative approach to addressing complex scientific questions. It engages the strengths of scientists from different fields, backgrounds, and expertise, often to solve the grand challenges of society. The iTHRIV Team Science Learning Shorts is a series of interviews with team science practitioners exploring the fundamentals of team science, team science participation, and the institutional supports. Learning Shorts are brief, digestible online educational offerings organized around a specific topic.

Creating a shared vision with a team

Karen Johnston, Sana Syed, Philip Bourne & Bart Ragon
Team science is a collaborative approach to addressing complex scientific questions. It engages the strengths of scientists from different fields, backgrounds, and expertise, often to solve the grand challenges of society. The iTHRIV Team Science Learning Shorts is a series of interviews with team science practitioners exploring the fundamentals of team science, team science participation, and the institutional supports. Learning Shorts are brief, digestible online educational offerings organized around a specific topic.

Language, Gender, and Sexuality Queered

Andre Cavalcante
This 45 minute lecture discusses historical and current terminology used by scholars and members of the LGBTQIA+ in discussion of gender and sexuality

Data Science: Value Domain (Ethics)

Brian Wright
This learning shot in the Data Science Series will focus on the Value Domain, having already been exposed to the data science framework (the 4+1 theory) in the 2nd episode of this series, the learner is ready to begin to understand the details associated with this portion of the framework. This domain focuses more on the human-centered piece of data science and combines the traditional discipline of ethics with the professional activities of business planning,...

Characteristics of an effective team

Dean Evasius, Karen Johnston, Sana Syed, Philip Bourne & Bart Ragon
Team science is a collaborative approach to addressing complex scientific questions. It engages the strengths of scientists from different fields, backgrounds, and expertise, often to solve the grand challenges of society. The iTHRIV Team Science Learning Shorts is a series of interviews with team science practitioners exploring the fundamentals of team science, team science participation, and the institutional supports. Learning Shorts are brief, digestible online educational offerings organized around a specific topic.

Data Science: Analytics

Don Brown
This learning shot in the Data Science Series will focus on the Analytics as a component of data science, having already been exposed to the data science framework (the 4+1 theory) in the 2nd episode of this series, the learner is ready to begin to understand more about the analytics domain. Analytics is defined as the procedures and methods used to turn data into useful information and includes everything from traditional statistical methods to advanced...

Resources on Research Integrity and Research Misconducts in the iTHRIV Portal

Medard Ng
This learning short will help you to identify the resources on Research Integrity and Research Misconducts in the iTHRIV Portal and guide you towards resources which you may find useful.

What is team science?

Dean Evasius
Team science is a collaborative approach to addressing complex scientific questions. It engages the strengths of scientists from different fields, backgrounds, and expertise, often to solve the grand challenges of society. The iTHRIV Team Science Learning Shorts is a series of interviews with team science practitioners exploring the fundamentals of team science, team science participation, and the institutional supports. Learning Shorts are brief, digestible online educational offerings organized around a specific topic.

Registration Year

  • 2022
    21
  • 2021
    5
  • 2020
    3

Resource Types

  • Audiovisual
    29

Affiliations

  • University of Virginia
    26