This course is intended to provide a foundation in the skills and knowledge you'll need to create, remix, adopt, or update open educational resources (OER). Specifically, by the end of the course you'll be able to:
Apply backward design in order to plan learning goals, assessment, and appropriate scaffolding/support,
Describe the meaning of open educational resources,
Locate open educational resources relevant to course learning outcomes,
Properly attribute works offered under a Creative Commons license,
Identify and create works that are accessible to all students,
Add a Creative Commons license to your own work and share back with your disciplinary community.

Lesson on OpenRefine for social scientists. A part of the data workflow is preparing the data for analysis. Some of this involves data cleaning, where errors in the data are identifed and corrected or formatting made consistent. This step must be taken with the same care and attention to reproducibility as the analysis. OpenRefine (formerly Google Refine) is a powerful free and open source tool for working with messy data: cleaning it and transforming it from one format into another. This lesson will teach you to use OpenRefine to effectively clean and format data and automatically track any changes that you make. Many people comment that this tool saves them literally months of work trying to make these edits by hand.

Topics covered:

Understanding reproducible research
Setting up a reproducible project
Understanding power
Preregistering your study
Keeping track of things
Containing bias
Sharing your work

The Open Research Toolkit was created by Christopher Eaker during Faculty Development Leave, Fall 2021. While this toolkit was designed for librarians for learning open research concepts and skills and teaching them at their institutions, it would be useful for anyone interested in learning more about open research. Any questions related to this content can be directed to the author.

The ORT YouTube Channel is found here: http://doi.org/10.7290/ORT_Videos

The Open Research Toolkit is an Open Educational Resource, and is available under Creative Commons Attribution 4.0 International (CC BY 4.0). You may re-use and copy information from this toolkit with attribution. In addition, some of the materials referenced in this toolkit (e.g. some materials linked to and created by others) might be copyright protected; that will be indicated as best as possible, but no guarantees are made as to accuracy of that information. The user should check restrictions of any material prior to reusing it.

You can become a more visible, effective and impactful researcher by sharing your research data and publications openly. In this course, you will learn the objectives, main concepts, and benefits of Open Science principles along with practices for open data management and open data sharing.

Since research increasingly relies on software which is used to model and simulate, and to deal with the ever growing volume of research data, the course will also introduce FAIR software practices.

You'll learn to establish links between publications, data, software and methods, how to attach a persistent identifier and metadata to your results, and methods for clarifying usage rights. You will also discover ways to apply these principles to your daily research and adapt existing routines. Finally, you'll uncover potential barriers to sharing research and discuss possible solutions.

This course will help you grasp the key principles of Open Science, with answers to questions like:

How can researchers effectively store, manage, and share research data?
What kinds of open access publishing are most effective?
How can researchers increase the visibility and impact of their research?
How can the use of social media contribute to the visibility and impact of research?
How can researchers be acknowledged for the research software they write?
You will apply the topics of the course to a variety of case studies on Open Science adoption, which you will then discuss among fellow students. You will also be presented with a hands-on guide to publishing your research with open access. This will help you to apply Open Science principles in your daily work. It will enable you to implement and benefit from the Open Science policies that are currently being developed by governments and research institutions.

This course is aimed at professionals. Those who will see the most benefit include academic researchers at different levels: PhD students, postdoctoral researchers, and professors; researchers working for governments; researchers working for commercial enterprises; MSc and BSc students interested to learn about the principles of Open Science.

The development of this course is supported by the VRE4EIC project with funding from the European Union's Horizon 2020 Research and Innovation Programme.

Note: This webinar was presented in Spanish. The slides presented during this webinar can be found here:https://osf.io/6qnse/ The slides presented during this seminar can be found here: https://osf.io/6qnse/ Este seminario web se centrará en el estado de la ciencia abierta en América Latina, desde los esfuerzos de los investigadores individuales para abrir sus flujos de trabajo, herramientas para ayudar a los investigadores a ser abiertos y nuevas redes e iniciativas prometedoras en ciencia abierta. Ricardo Hartley (@ametodico) es profesor de metodología de la investigación de la Universidad Central de Chile, investigador en biología de la reproducción y en comunicación - valoración del conocimiento. Organizador de las OpenCon Santiago 2016 y 2017 y embajador COS. Erin McKiernan es profesora del Departamento de Física, Programa de Física Biomédica de la Universidad Nacional Autónoma de México. También es la fundadora del Why Open Research? proyecto, un sitio educativo para que los investigadores aprendan cómo compartir su trabajo, financiado en parte por la Fundación Shuttleworth. Fernan Federici Noe es profesor asistente e investigador de la Universidad Católica de Chile y fellow internacional del OpenPlant Synthetic Biology Center, University of Cambridge. Fernan es miembro del Global For Open Science Hardware (GOSH) y TECNOx (www.tecnox.org).

From last 2 decades the acceptance of ICT in every aspect of operations that facilitates the information organization and dissemination of information. Now a days the ICT tools like Open source Software very much popular in the data management and data organization, hence the Open source Software are the alternatives to most of the commercial software. All around the world due to The emergence of OSS no. of organization. offices and libraries etc. adopts OSS for their daily work. OSS has introduced a lot of new concept of managing the library and change the way in library daily operations. Open Source Software has become increasingly popular all around the world every year no. of software user migrate from proprietary software to open source software due to cost and functionality of the OSS.

Everyone can make a web map now, but what are the best tools to do so? Maybe you have already created web maps with ArcGIS or Google Maps but never taken time to have a closer look at open source software alternatives such as QGIS, GeoServer and Leaflet? Or, are you new to web mapping and looking for the best way to create a web application for spatial data from your job or hobby? If so, GEOG 585, Open Web Mapping, is the right course for you. Learn about FOSS vs. proprietary GIS software, open data and standards for web mapping, and how to create beautiful and interactive web maps with Javascript and Leaflet.

This is a short micro-course that will introduce students to open education, copyright, and open licensing. It is helpful because it contains reading and practice assignments that guide students through copyright. There are optional pre-tests where you can test what you already know about the subject before engaging with the material as well. Throughout the modules, quizzes not only help to keep you engaged, but show you whether you are learning the material.
You are required to create a free account to access the course materials.
It is important to note that this is not strictly based on United States copyright law, but it does provide a good overview of general copyright rules.

The materials in this module -- including PowerPoint slides and a handout -- were developed for the Washington State Canvas Conference (WACC) 2019, co-presented by an Instructional Designer and OER Librarian. Therefore, the focus is on best practices of integrating UDL and OE principles and materials into Canvas courses. However, many concepts are basic and universal and could be adapted to any learning management system. These materials were also designed for a 60-minute session but could easily be adapted for a longer session or workshop. These materials were designed for educators already familiar with the basic concepts of UDL and OER.

This resource is intended as a module for graduate students in health sciences fields such as medicine, nursing, and public health, and librarians who work in these and related fields. The assignment will briefly review the literature on the three main themes (open access, social justice, and health equity) to provide background on the topic. Following this overview, students will break into groups, and each group will be given a topic with questions to spark discussion on the subject. Questions such as "Historically, how has access to health information created benefits or barriers to users?" or "When thinking about medical research, what stakeholders are concerned about open access and why?" Each group will select a notetaker to keep track of the responses, and time will be given in class to report out and have a wider discussion with each other. The materials provided include an optional pre-reading assignment, slide deck, lesson plan, and a sample comprehension check.

These resources are also available at https://scholarworks.iupui.edu/handle/1805/26714

How the Rebus Foundation is Building a New Model of Publishing

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(Note: This resource's metadata has been created automatically as part of a bulk import process by reformatting and/or combining the information that the author initially provided. As a result, there may be errors in formatting.)

This lesson series is for the Openscapes Champions program, an open data science mentorship program for science teams.

Openscapes Champions is a professional development and leadership opportunity for teams to reimagine data analysis & stewardship as a collaborative effort, develop modern skills that are of immediate value to them, and cultivate collaborative and inclusive research communities. Cohorts are ~7 research teams (~35 total participants including team leads and members) that convene remotely to explore open data science tooling and practices together. This is a remote-by-design program since its launch in 2019.

The Series is written (and always improving) to be used as a reference, to teach, or as self-paced learning.

Openscapes is co-directed by Julia Stewart Lowndes and Erin Robinson. It is operated by the National Center for Ecological Analysis & Synthesis (NCEAS) and was incubated by a Mozilla Fellowship awarded to Lowndes in 2018.

Opensciency is core open science curriculum material, drafted to introduce those beginning their open science journey to important definitions, tools, and resources; and provide for participants at all levels recommended practices. The material is made available under a CC-BY 4.0 International license and is structured into five modules:

- Ethos of Open Science
- Open Tools and Resources
- Open Data
- Open Software
- Open Results

This module illusrates navigation to and use of Opposing Viewpoints from the Alabama Virtual Library.  All videos are closed-captioned.

This course introduces students to the theory, algorithms, and applications of optimization. The optimization methodologies include linear programming, network optimization, integer programming, and decision trees. Applications to logistics, manufacturing, transportation, marketing, project management, and finance. Includes a team project in which students select and solve a problem in practice.

In this webinar, we demonstrate the OSF tools available for contributors, labs, centers, and institutions that support stronger collaborations. The demo includes useful practices like: contributor management, the OSF wiki as an electronic lab notebook, using OSF to manage online courses and syllabi, and more. Finally, we look at how OSF Institutions can provide discovery and intelligence gathering infrastructure so that you can focus on conducting and supporting exceptional research. The Center for Open Science’s ongoing mission is to provide community and technical resources to support your commitments to rigorous, transparent research practices. Visit cos.io/institutions to learn more.

Short Description:
Our hope is that this guide to citing personal experience and interviews meets our goal of supporting students to produce their own knowledge, as well as honoring the academic value of their lived experience and the experiences of their families and communities. Through the use of a set of guidelines we created for students to cite personal experience and interviews, we found students self-reported increase in engagement and success in academic assignments. We propose this set of guidelines are an important practical tool for critical, feminist, and anti-racist pedagogy, as well as a method for teaching ethical research.

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(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)