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Anthropology Mini Lectures: A collective resource for online teaching in the time of COVID19

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This is a collection of mini lectures created by anthropologists and those in conversation with anthropology as supplimental material to assist college and university instructors who were made to shift their courses online because of COVID19.For more information, see here.To contribute, please create an OER author account and send your name and OER registered email to AnthropologyTeaching@gmail.com.

Material Type: Activity/Lab, Homework/Assignment, Lecture, Lesson Plan, Reading, Syllabus, Teaching/Learning Strategy

Authors: Zoe Wool, Brett Hill, Lauren Visconti, Geir Henning Presterudstuen, Laura Ogden, Jonathan Padwe, Sabra Thorner, Flosha Diliena Liyana Saran Arachchige Don, Heikki Wilenius, Jonathan Wald, Noah Theriault, Rosalyn Bold, Andrew Flachs, Emily Yates-Doerr, Rebecca Lester, Katrina Thompson, Emily Hammerl, Rose Wellman, Devin Proctor, Daniel Souleles, Kim de Rijke, Maira Hayat, Kate Fischer, Laura Story Johnson, Chloe Ahmann, Paige West

Biological Explanations and Interventions for Psychological Disorders: An Introduction

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An introductory video for biological explanations of and interventions for psychological disorders. This may be a helpful tool to introduce students to biological causes and biological treatments (medicinal and non-medicinal) related to psychological disorders. Suitable for Introductory Psychology, Abnormal Psychology, and other courses that introduce basic knowledge of these topics.Runtime: 18:08

Material Type: Unit of Study

Author: Michael Mallott

Corona-land Simulator

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Corona-land is a simulator that visualizes how a virus like the coronavirus spreads and what we can do to contain it. This is an exploration and learning tool and is not a professional tool intended at decision making, planning or forecasting. Designed and developed by Thomas Riisgaard Hansen, Kite Invent og Aarhus Universitet Graphic Assistance by Tue Pico, Javira

Material Type: Data Set, Interactive, Simulation

Authors: Kite Invent og Aarhus Universitet, Thomas Riisgaard Hansen

Harry Potter and the Methods of Reproducibility

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"Harry Potter and the Methods of Reproducibility -- A brief Introduction to Open Science" gives a brief overview of Open Science, particularly reproducibility, for newcomers to the topic. It introduces the concept of questionable research practices (QRPs) and Open Science solutions to these QRPs, such as preregistrations, registered reports, Open Data, Open Code, and Open Materials.

Material Type: Lesson

Author: Mariella Paul

Data.gov

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The home of the U.S. Government’s open data. Here you will find data, tools, and resources to conduct research, develop web and mobile applications, design data visualizations, and more. Topics include Agriculture, Business, Climate, Education, Energy, Ecosystems, Manufacturing and more.

Material Type: Data Set

National Institute of Environmental Health Sciences Databases

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Today the NIEHS is expanding and accelerating its contributions to scientific knowledge of human health and the environment, and to the health and well-being of people everywhere. It provides the following databases & galleries as resources to scientists: The Alu Pairs Database, The Biomarkers of Oxidative Stress Study (BOSS), Chemical Effects in Biological Systems(CEBS), The Drug Matrix, The Environmental Genome Project, The Environmental Polymorphisms Registry, The Human DNA Polymerase Gamma Mutation, The Microarray Center cDNA Clone Search, Mouse Genome Resequencing Project, The Nanomaterial Registry, The Roadmap Epigenomics Project Data, The SNPinfo Web Server and the Spin Trap Database.

Material Type: Data Set

U.S. Environmental Protection Agency Data

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EPA has many data sources available, these cover topics including but not limited to air, climate change, health risks, pollutants and contaminants, waste, and water. The data are downloadable and available through the Environmental Dataset Gateway (EDG). The EDG is a source of Web-based geospatial information and information services. It enables data consumers to discover, view, and access geospatial resources made available by EPA's program offices, regions, and labs.

Material Type: Data Set

United States Census Bureau

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Keeping pace with our dynamic economy and society constantly challenges the Census Bureau's data collections. Our users want more data, and want it sooner. The cost of using our existing methods keeps going up, while statistical budgets are tight. We stay current by making research the basis of everything we do at the Census Bureau. Our researchers explore innovative ways to conduct surveys, increase respondent participation, reduce costs, and improve accuracy. They analyze the data we collect and uncover trends that give us a deeper understanding of our complex society.

Material Type: Data Set

The Open Science Training Handbook

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Open Science, the movement to make scientific products and processes accessible to and reusable by all, is about culture and knowledge as much as it is about technologies and services. Convincing researchers of the benefits of changing their practices, and equipping them with the skills and knowledge needed to do so, is hence an important task.This book offers guidance and resources for Open Science instructors and trainers, as well as anyone interested in improving levels of transparency and participation in research practices. Supporting and connecting an emerging Open Science community that wishes to pass on its knowledge, the handbook suggests training activities that can be adapted to various settings and target audiences. The book equips trainers with methods, instructions, exemplary training outlines and inspiration for their own Open Science trainings. It provides Open Science advocates across the globe with practical know-how to deliver Open Science principles to researchers and support staff. What works, what doesn’t? How can you make the most of limited resources? Here you will find a wealth of resources to help you build your own training events.

Material Type: Reading

Author: FOSTER Open Science

PsyTeachR

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Materials for the University of Glasgow Institute of Neuroscience and Psychology’s undergraduate and MSc methods courses + Experiences, insights, and materials for teaching R across all undergraduate and postgraduate levels.

Material Type: Textbook

Project Teaching Integrity in Empirical Research (TIER)

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The Project Teaching Integrity in Empirical Research (TIER) develops methods and tools for enhancing research transparency through teaching. These can be used by faculty who teach quantitative methods or supervise student research. TIER further provides guidance to students who want to adopt transparent and replicable research practices independently.

Material Type: Teaching/Learning Strategy

Learning Statistics with R

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The book is associated with the lsr package on CRAN and GitHub. The package is probably okay for many introductory teaching purposes, but some care is required. The package does have some limitations (e.g., the etaSquared function does strange things for unbalanced ANOVA designs), and it has not been updated in a while.

Material Type: Textbook

Author: Danielle Navarro

Ethical sharing of health data in online platforms – which values should be considered?

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Intensified and extensive data production and data storage are characteristics of contemporary western societies. Health data sharing is increasing with the growth of Information and Communication Technology (ICT) platforms devoted to the collection of personal health and genomic data. However, the sensitive and personal nature of health data poses ethical challenges when data is disclosed and shared even if for scientific research purposes. With this in mind, the Science and Values Working Group of the COST Action CHIP ME ‘Citizen's Health through public-private Initiatives: Public health, Market and Ethical perspectives’ (IS 1303) identified six core values they considered to be essential for the ethical sharing of health data using ICT platforms. We believe that using this ethical framework will promote respectful scientific practices in order to maintain individuals’ trust in research. We use these values to analyse five ICT platforms and explore how emerging data sharing platforms are reconfiguring the data sharing experience from a range of perspectives. We discuss which types of values, rights and responsibilities they entail and enshrine within their philosophy or outlook on what it means to share personal health information. Through this discussion we address issues of the design and the development process of personal health data and patient-oriented infrastructures, as well as new forms of technologically-mediated empowerment.

Material Type: Reading

Authors: Aaro Tupasela, Brigida Riso, Danya F. Vears, Heike Felzmann, Julian Cockbain, Michele Loi, Nana C. H. Kongsholm, Silvia Sullo, Vojin Rakic

Understanding Statistical Power and Significance Testing — an Interactive Visualization

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Much has been said about significance testing – most of it negative. Methodologists constantly point out that researchers misinterpret p-values. Some say that it is at best a meaningless exercise and at worst an impediment to scientific discoveries. Consequently, I believe it is extremely important that students and researchers correctly interpret statistical tests. This visualization is meant as an aid for students when they are learning about statistical hypothesis testing. The visualization is based on a one-sample Z-test. You can vary the sample size, power, significance level and the effect size using the sliders to see how the sampling distributions change.

Material Type: Activity/Lab

Author: Kristoffer Magnusson

Reproducible Research: Walking the Walk

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Description This hands-on tutorial will train reproducible research warriors on the practices and tools that make experimental verification possible with an end-to-end data analysis workflow. The tutorial will expose attendees to open science methods during data gathering, storage, analysis, up to publication into a reproducible article. Attendees are expected to have basic familiarity with scientific Python and Git.

Material Type: Module

Author: Matt McCormick

How significant are the public dimensions of faculty work in review, promotion and tenure documents?

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Much of the work done by faculty at both public and private universities has significant public dimensions: it is often paid for by public funds; it is often aimed at serving the public good; and it is often subject to public evaluation. To understand how the public dimensions of faculty work are valued, we analyzed review, promotion, and tenure documents from a representative sample of 129 universities in the US and Canada. Terms and concepts related to public and community are mentioned in a large portion of documents, but mostly in ways that relate to service, which is an undervalued aspect of academic careers. Moreover, the documents make significant mention of traditional research outputs and citation-based metrics: however, such outputs and metrics reward faculty work targeted to academics, and often disregard the public dimensions. Institutions that seek to embody their public mission could therefore work towards changing how faculty work is assessed and incentivized.

Material Type: Reading

Authors: Carol Muñoz Nieves, Erin C McKiernan, Gustavo E Fischman, Juan P Alperin, Lesley A Schimanski, Meredith T Niles

Questionable and Open Research Practices in Education Research

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Discussions of how to improve research quality are predominant in a number of fields, including education. But how prevalent are the use of problematic practices and the improved practices meant to counter them? This baseline information will be a critical data source as education researchers seek to improve our research practices. In this preregistered study, we replicated and extended previous studies from other fields by asking education researchers about 10 questionable research practices and 5 open research practices. We asked them to estimate the prevalence of the practices in the field, self-report their own use of such practices, and estimate the appropriateness of these behaviors in education research. We made predictions under four umbrella categories: comparison to psychology, geographic location, career stage, and quantitative orientation. Broadly, our results suggest that both questionable and open research practices are part of the typical research practices of many educational researchers. Preregistration, code, and data can be found at https://osf.io/83mwk/.

Material Type: Reading

Authors: Bryan G. Cook, Jaret Hodges, Jonathan Plucker, Matthew C. Makel