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Information Visualization Tutorials
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Information visualization is concerned with the visual and interactive representation of abstract and possibly complex datasets. As we encounter growing datasets in various sectors there is an increasing need to develop effective methods for making sense of data. Information visualization relies on computational means and our perceptual system to help reveal otherwise invisible patterns and gain new insights. Across various fields, there is great hope in the power of visualization to turn complex data into informative, engaging, and maybe even attractive forms. However, it typically takes several steps of data preparation and processing before a given dataset can be meaningfully visualized. While visualizations can indeed provide novel and useful perspectives on data, they can also obscure or misrepresent certain aspects of a phenomenon. Thus it is essential to develop a critical literacy towards the rhetoric of information visualization. One of the best ways to develop this literacy is to learn how to create visualizations! The tutorials offer a practical approach to working with data and to create interactive visualizations.

The tutorials require basic familiarity with statistics and programming. They come as Jupyter notebooks containing both human-readable explanations as well as computable code. The code blocks in the tutorials are written in Python, which you should either have already some experience with or a keen curiosity for. The tutorials make frequent use of the data analysis library Pandas, the visualization library Altair, and a range of other packages. You can view the tutorials as webpages, open and run them on Google Colab, or download the Jupyter notebook files to edit and run them locally.

Subject:
Computer Science
Computer, Networking and Telecommunications Systems
Information Science
Mathematics
Measurement and Data
Material Type:
Activity/Lab
Date Added:
04/11/2023
The Internet (04:01): Networks 101
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CC BY-ND
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The first video in the Internet series of videos supporting the Introduction to Computers and BCIS series.

In this video we talk about what is a computer network and how that relates to the Internet. We also talk about some of the basic types of network hardware we need to make a network as well as the difference between a LAN and WAN.

If you have no background in networking this is the video to start with before you go any further into the Internet series.

Subject:
Computer, Networking and Telecommunications Systems
Information Science
Material Type:
Lecture
Provider:
Mr. Ford's Class
Date Added:
05/02/2023
The Internet (04:02): Internet Basics
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CC BY-ND
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We love our definitions and in this video we define what the Internet is. We take a quick look at how the Internet got its start. Finally we look at how to get on the Internet, how to pick the right ISP and check to see how fast you are surfing.

Links from video:
http://www.speedtest.net/
http://speedtest.comcast.net/

Subject:
Computer, Networking and Telecommunications Systems
Information Science
Material Type:
Lecture
Provider:
Mr. Ford's Class
Date Added:
05/02/2023
The Internet (04:03): Technologies of the Internet
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CC BY-ND
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Get ready to Geek out. In this video we take a look under the hood of the Internet. We see what technologies run the Internet and more importantly how the make our lives easier.

Topics we cover include :
*TCP/IP
*HTTP & HTTPS
*FTP
*SMTP
*POP3
*Telnet

Links from Video:
FileZilla https://filezilla-project.org/
CuteFTP: http://www.cuteftp.com/
SmartFTP; http://www.smartftp.com/
Cyberduck: http://cyberduck.io/?l=en
Mozilla Thunderbird: http://www.mozilla.org/en-US/thunderbird/
Star Wars ASCII: http://youtu.be/Dgwyo6JNTDA

Subject:
Computer, Networking and Telecommunications Systems
Information Science
Material Type:
Lecture
Provider:
Mr. Ford's Class
Date Added:
05/02/2023
Interpreting Antarctic Sediment Cores: A Record of Dynamic Neogene Climate
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CC BY-NC-SA
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This set of investigations focuses on the use of sedimentary facies (lithologies interpreted to record particular depositional environments) to interpret paleoenvironmental and paleoclimatic changes in Neogene sediment cores from the Antarctic margin. Particular attention is given to characteristics of settings close to the ice (ice-proximal) and far from the ice (ice-distal) in high-latitude settings. In Part 1, students build their knowledge of polar sediment lithologies and the corresponding facies through conceptual diagrams, geological reasoning, and use of core images and core logs (a graphical summary of the sediments). In Part 2, the core log for the entire 1285m ANDRILL 1-B core is presented. Students characterize each of the key lithostratigraphic subdivisions and use their knowledge of depositional facies to write a brief history of the Neogene climatic and environmental conditions in the Ross Sea region. In Part 3, students use their core log reading skills and facies knowledge to evaluate patterns in the Pliocene sediments from ANDRILL 1-B. They quantitatively correlate patterns in their dataset with cycles in insolation (incoming solar radiation), influenced by changes in the Earth's orbit during the Pliocene.

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)

Subject:
Applied Science
Biology
Computer, Networking and Telecommunications Systems
Environmental Science
History
Information Science
Life Science
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Date Added:
08/04/2022
Introduction to Civic Online Reasoning for Distance Learning
Unrestricted Use
CC BY
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This collection of lessons represent adapted and remixed instructional content for teaching media literacy and specifically civic online reasoning through distance learning. These lessons take students through the steps necessary to source online content, verify evidence presented, and corroborate claims with other sources.

The original lesson plans are the work of Stanford History Education Group, licensed under CC 4.0. Please refer to the full text lesson plans at Stanford History Education Group’s, Civic Online Reasoning Curriculum for specifics regarding background, research findings, and additional curriculum for teaching media literacy in the twenty-first century.

Subject:
Business and Communication
Computer, Networking and Telecommunications Systems
Education
Educational Technology
English Language Arts
Information Science
Journalism
New Media and Technology
Reading Informational Text
Social Science
Material Type:
Activity/Lab
Assessment
Homework/Assignment
Interactive
Lecture Notes
Lesson Plan
Date Added:
03/30/2023
Introduction to Cloud Computing for Genomics
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CC BY
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Data Carpentry lesson to learn how to work with Amazon AWS cloud computing and how to transfer data between your local computer and cloud resources. The cloud is a fancy name for the huge network of computers that host your favorite websites, stream movies, and shop online, but you can also harness all of that computing power for running analyses that would take days, weeks or even years on your local computer. In this lesson, you’ll learn about renting cloud services that fit your analytic needs, and how to interact with one of those services (AWS) via the command line.

Subject:
Computer Science
Computer, Networking and Telecommunications Systems
Information Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Date Added:
04/11/2023
Introduction to Geospatial Concepts
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CC BY
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Data Carpentry lesson to understand data structures and common storage and transfer formats for spatial data. The goal of this lesson is to provide an introduction to core geospatial data concepts. It is intended for learners who have no prior experience working with geospatial data, and as a pre-requisite for the R for Raster and Vector Data lesson . This lesson can be taught in approximately 75 minutes and covers the following topics: Introduction to raster and vector data format and attributes Examples of data types commonly stored in raster vs vector format Introduction to categorical vs continuous raster data and multi-layer rasters Introduction to the file types and R packages used in the remainder of this workshop Introduction to coordinate reference systems and the PROJ4 format Overview of commonly used programs and applications for working with geospatial data The Introduction to R for Geospatial Data lesson provides an introduction to the R programming language while the R for Raster and Vector Data lesson provides a more in-depth introduction to visualization (focusing on geospatial data), and working with data structures unique to geospatial data. The R for Raster and Vector Data lesson assumes that learners are already familiar with both geospatial data concepts and the core concepts of the R language.

Subject:
Computer Science
Computer, Networking and Telecommunications Systems
Information Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Date Added:
04/11/2023
Introduction to Geospatial Raster and Vector Data with R
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CC BY
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Data Carpentry lesson to open, work with, and plot vector and raster-format spatial data in R. The episodes in this lesson cover how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data.

Subject:
Computer Science
Computer, Networking and Telecommunications Systems
Information Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Date Added:
04/11/2023
Introduction to Open Access
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CC BY-SA
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Progress of every profession, academic discipline and society at large rides on the back of research and development. Research generates new information and knowledge. It is a standardized process of identifying problem, collecting data or evidence, tabulating data and its analysis, drawing inference and establishing new facts in the form of information. Information has its life cycle: conception, generation, communication, evaluation and validation, use, impact and lastly a fuel for new ideas. Research results are published in journals, conference proceedings, monographs, dissertations, reports, and now the web provides many a new forum for its communication. Since their origin in the 17th century, the journals have remained very popular and important channels for dissemination of new ideas and research. Journals have become inseparable organ of scholarship and research communication, and are a huge and wide industry. Their proliferation (with high mortality rate), high cost of production, cumbersome distribution, waiting time for authors to get published, and then more time in getting listed in indexing services, increasing subscription rates, and lastly archiving of back volumes have led to a serious problem known as "Serials Crisis". The ICT, especially the internet and the WWW, descended from the cyber space to solve all these problems over night in the new avatar of e-journals. Their inherent features and versatility have made them immensely popular. Then in the beginning of the 21st century emerged the Open Access (OA) movement with the Budapest Open Access Initiative (BOAI). Philosophy of open access is to provide free of charge and unhindered access to research and its publications without copyright restrictions. The movement got support from great scientists, educationists, publishers, research institutions, professional associations and library organizations. The other OA declarations at Berlin and Bethesda put it on strong footings. Its philosophy is: research funded by tax payers should be available free of charge to tax payers. Research being a public good should be available to all irrespective of their paying capacity. The OA has many forms of access and usage varying from total freedom from paying any charges, full permission to copy, download, print, distribute, archive, translate and even change format to its usage with varying restrictions.
In the beginning, OA publications were doubted for their authenticity and quality: established authors and researchers shied away both from contributing to and citing from OA literature. But Committee on Publication Ethics (COPE, 1997) and its code of conduct formulated in collaboration with DOAJ and OASPA, etc. have stemmed the rot. They have defined best practices and compiled principles of transparency for quality control to sift the grain from the chaff; to keep the fraudulent at bay. Now it is accepted that contributors to OA get increased visibility, global presence, increased accessibility, increased collaboration, increased impact both in citations and applications, and lastly instant feedback, comments and critical reflections. This movement has got roots due to its systematic advocacy campaign. Since 2008 every year 21-27 October is celebrated as the OA week throughout the world. There are many organizations which advocate OA through social media and provide guidance for others.
Open Access research literature has not only made new ideas easy and quick to disseminate, but the impact of research can be quantitatively gauged by various bibliometric, scientometric and webometric methods such as h-index, i-10 index, etc. to measure the scientific productivity, its flow, speed and lastly its concrete influence on individuals, and on the progress of a discipline. The OA movement is gaining momentum every day, thanks to technology, organizational efforts for quality control and its measureable impact on productivity and further research. It needs to be strengthened with participation of every researcher, scientist, educationist and librarian. This module covers five units, covering these issues. At the end of this module, you are expected to be able to:
- Define scholarly communication and open access, and promote and differentiate between the various forms of Open Access;
- Explain issues related to rights management, incl. copyright, copy-left, authors’ rights and related intellectual property rights;
- Demonstrate the impact of Open Access within a scholarly communication environment.
This is Module One of the UNESCO's Open Access Curriculum for Library Schools.
Full-Text is available at http://unesdoc.unesco.org/images/0023/002319/231920E.pdf.

Subject:
Computer, Networking and Telecommunications Systems
Education
Information Science
Material Type:
Full Course
Module
Textbook
Unit of Study
Author:
Anup Kumar Das
Uma Kanjilal
Date Added:
05/03/2023
Introduction to Preprints
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CC BY
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This is a recording of a 45 minute introductory webinar on preprints. With our guest speaker Philip Cohen, we’ll cover what preprints/postprints are, the benefits of preprints, and address some common concerns researcher may have. We’ll show how to determine whether you can post preprints/postprints, and also demonstrate how to use OSF preprints (https://osf.io/preprints/) to share preprints. The OSF is the flagship product of the Center for Open Science, a non-profit technology start-up dedicated to improving the alignment between scientific values and scientific practices. Learn more at cos.io and osf.io, or email contact@cos.io.

Subject:
Computer Science
Computer, Networking and Telecommunications Systems
Information Science
Material Type:
Lecture
Provider:
Center for Open Science
Date Added:
04/11/2023
An Introduction to Registered Reports for the Research Funder Community
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CC BY
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In this webinar, Doctors David Mellor (Center for Open Science) and Stavroula Kousta (Nature Human Behavior) discuss the Registered Reports publishing workflow and the benefits it may bring to funders of research. Dr. Mellor details the workflow and what it is intended to do, and Dr. Kousta discusses the lessons learned at Nature Human Behavior from their efforts to implement Registered Reports as a journal.

Subject:
Computer Science
Computer, Networking and Telecommunications Systems
Information Science
Material Type:
Lecture
Provider:
Center for Open Science
Date Added:
04/11/2023
Introduction to R for Geospatial Data
Unrestricted Use
CC BY
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The goal of this lesson is to provide an introduction to R for learners working with geospatial data. It is intended as a pre-requisite for the R for Raster and Vector Data lesson for learners who have no prior experience using R. This lesson can be taught in approximately 4 hours and covers the following topics: Working with R in the RStudio GUI Project management and file organization Importing data into R Introduction to R’s core data types and data structures Manipulation of data frames (tabular data) in R Introduction to visualization Writing data to a file The the R for Raster and Vector Data lesson provides a more in-depth introduction to visualization (focusing on geospatial data), and working with data structures unique to geospatial data.

Subject:
Computer Science
Computer, Networking and Telecommunications Systems
Information Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Date Added:
04/11/2023
Introduction to Static Site Generators
Unrestricted Use
CC BY
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This tutorial will teach you the basics of using a static site generator. We will be using Hugo to build our demonstration site. We’ll play the role of a scholarly communications librarian. We’ll be using a command line terminal to install software and run commands and a text editor to edit and save plain text files. This in-depth tutorial is estimated to take between three and four hours to complete.

While we will be using Hugo as our static site generator, this tutorial is not intended to be a cover the depth and breadth of Hugo. For that, I refer you to the Hugo documentation and community. Rather, this tutorial is about using static site generators in a library-publishing context.

Subject:
Communication
Computer Science
Computer, Networking and Telecommunications Systems
English Language Arts
Information Science
Material Type:
Activity/Lab
Date Added:
04/11/2023
Introduction to Web Accessibility: Essential Accessibility for Everyone
Conditional Remix & Share Permitted
CC BY-SA
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With raised awareness and accessibility laws emerging around the world, understanding what inclusive access to the Web means is becoming necessary knowledge for anyone who produces digital content. Much of the current information on Web accessibility requires some technical understanding, and may be difficult to consume for the average person. The instruction here will “interpret” the W3C Web Content Accessibility Guidelines (WCAG 2.1), to make it easier to understand for a general audience. You will have an opportunity to experience barriers firsthand, then experience that content with the barriers removed, developing a practical understanding of web accessibility.

Subject:
Computer Science
Computer, Networking and Telecommunications Systems
Education
Higher Education
Information Science
Material Type:
Activity/Lab
Assessment
Full Course
Homework/Assignment
Interactive
Textbook
Provider:
Ryerson University
Date Added:
04/11/2023
Introduction to the Command Line for Economics
Unrestricted Use
CC BY
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Command line interface (OS shell) and graphic user interface (GUI) are different ways of interacting with a computer’s operating system. The shell is a program that presents a command line interface which allows you to control your computer using commands entered with a keyboard instead of controlling graphical user interfaces (GUIs) with a mouse/keyboard combination. There are quite a few reasons to start learning about the shell: The shell gives you power. The command line gives you the power to do your work more efficiently and more quickly. When you need to do things tens to hundreds of times, knowing how to use the shell is transformative. To use remote computers or cloud computing, you need to use the shell.

Subject:
Computer Science
Computer, Networking and Telecommunications Systems
Information Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Date Added:
04/11/2023
Introduction to the Command Line for Genomics
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CC BY
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Data Carpentry lesson to learn to navigate your file system, create, copy, move, and remove files and directories, and automate repetitive tasks using scripts and wildcards with genomics data. Command line interface (OS shell) and graphic user interface (GUI) are different ways of interacting with a computer’s operating system. The shell is a program that presents a command line interface which allows you to control your computer using commands entered with a keyboard instead of controlling graphical user interfaces (GUIs) with a mouse/keyboard combination. There are quite a few reasons to start learning about the shell: For most bioinformatics tools, you have to use the shell. There is no graphical interface. If you want to work in metagenomics or genomics you’re going to need to use the shell. The shell gives you power. The command line gives you the power to do your work more efficiently and more quickly. When you need to do things tens to hundreds of times, knowing how to use the shell is transformative. To use remote computers or cloud computing, you need to use the shell.

Subject:
Computer Science
Computer, Networking and Telecommunications Systems
Genetics
Information Science
Life Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Date Added:
04/11/2023
Introduction to web scraping
Unrestricted Use
CC BY
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Web scraping is the process of extracting data from websites. Some data that is available on the web is presented in a format that makes it easier to collect and use it, for example in the form of downloadable comma-separated values (CSV) datasets that can then be imported in a spreadsheet or loaded into a data analysis script. Often however, even though it is publicly available, data is not readily available for reuse. For example it can be contained in a PDF, or a table on a website, or spread across multiple web pages. There are a variety of ways to scrape a website to extract information for reuse. In its simplest form, this can be achieved by copying and pasting snippets from a web page, but this can be unpractical if there is a large amount of data to be extracted, or if it spread over a large number of pages. Instead, specialized tools and techniques can be used to automate this process, by defining what sites to visit, what information to look for, and whether data extraction should stop once the end of a page has been reached, or whether to follow hyperlinks and repeat the process recursively. Automating web scraping also allows to define whether the process should be run at regular intervals and capture changes in the data.

Subject:
Computer Science
Computer, Networking and Telecommunications Systems
Information Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Date Added:
04/11/2023
Intro to Calculating Confidence Intervals
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CC BY
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This video will introduce how to calculate confidence intervals around effect sizes using the MBESS package in R. All materials shown in the video, as well as content from our other videos, can be found here: https://osf.io/7gqsi/

Subject:
Computer Science
Computer, Networking and Telecommunications Systems
Information Science
Material Type:
Lecture
Provider:
Center for Open Science
Date Added:
04/11/2023