CIT Open Office Hours

CIT Events Test - 0 sec ago
Bostock 024
West Campus

Want to change your syllabus? Need help creating an online discussion board? CIT consultants are available to discuss course design and instructional technology.  Come by to ask questions about active learning in class or how to think about teaching a new course. We can also answer questions about using Sakai, WordPress, and other Duke supported instructional technologies for teaching and learning. REGISTRATION IS NOT REQUIRED.

New Data Management Services at Duke

Blogs Featured Posts (non-pipes) - Wed, 2017-01-18 21:44

New services to help you secure funding, increase research impact, and preserve data

New Data Management Services at Duke

Bogs Featured (for Marine) - Wed, 2017-01-18 21:44

New services to help you secure funding, increase research impact, and preserve data

Publish, Preserve, and Prevail: New Research Data Management Staff and Services in Duke Libraries

Bostock 127 (The Edge Workshop Room)
West Campus

With the generous support from the Office of Provost, Duke Libraries are happy to announce new staff and services designed to support Duke researchers with data driven research.  This talk introduces a new program at Duke designed to help faculty manage their data from creation to curation.

Publish, Preserve, and Prevail: New Research Data Management Staff and Services in Duke Libraries

All Libcal Events (Huginn Feed) - Wed, 2017-01-18 21:15
Bostock 127 (The Edge Workshop Room)
West Campus

With the generous support from the Office of Provost, Duke Libraries are happy to announce new staff and services designed to support Duke researchers with data driven research.  This talk introduces a new program at Duke designed to help faculty manage their data from creation to curation.

Legal and Publishing Considerations for Using, Sharing, Citing, and Tracking Impact of Data Sets

Bostock 127 (The Edge Workshop Room)
West Campus

This session covers the legal and practical considerations of how to use other people’s data in your own work, how to share your data and apply the right licenses so that your it gets widespread attention, and how to track and learn about what others are doing with your data. The session will be led by Duke University Libraries Office of Copyright & Scholarly Communications: Dave Hansen, Paolo Mangiafico, and Haley Walton, all of whom are experts on intellectual property, licensing, and sharing scholarly work.

Legal and Publishing Considerations for Using, Sharing, Citing, and Tracking Impact of Data Sets

All Libcal Events (Huginn Feed) - Wed, 2017-01-18 20:00
Bostock 127 (The Edge Workshop Room)
West Campus

This session covers the legal and practical considerations of how to use other people’s data in your own work, how to share your data and apply the right licenses so that your it gets widespread attention, and how to track and learn about what others are doing with your data. The session will be led by Duke University Libraries Office of Copyright & Scholarly Communications: Dave Hansen, Paolo Mangiafico, and Haley Walton, all of whom are experts on intellectual property, licensing, and sharing scholarly work.

Python for Data Science: R isn't the only game in town!

Events - All Combined (Huginn Feed) - Wed, 2017-01-18 16:00
Wed, Jan 18, 2017
11:00 AM - 12:00 PM
Bostock Library - The Edge Workshop RoomFirst Floor
Python is an extremely useful, general purpose, human readable programming language, and it's great for tabular data gathering, cleaning, analysis and visualization! In this introductory workshop, you'll get a glimpse of how to use Jupyter notebooks and Python to transform and explore a couple of different data sets using online tools. You'll need a laptop to do the hands-on activities, but no previous experience or any Python installation is necessary!

Data Science Sampler: Python for Data Science: R isn’t the only game in town!

Bostock Library - The Edge
West Campus

Python is an extremely useful, general purpose, human readable programming language, and it’s great for tabular data gathering, cleaning, analysis and visualization! In this introductory workshop, you’ll get a glimpse of how to use Jupyter notebooks and Python to transform and explore a couple of different data sets using online tools. You’ll need a laptop to do the hands-on activities, but no previous experience or any Python installation is necessary!

Data Science Sampler: Python for Data Science: R isn’t the only game in town!

All Libcal Events (Huginn Feed) - Wed, 2017-01-18 16:00
Bostock Library - The Edge
West Campus

Python is an extremely useful, general purpose, human readable programming language, and it’s great for tabular data gathering, cleaning, analysis and visualization! In this introductory workshop, you’ll get a glimpse of how to use Jupyter notebooks and Python to transform and explore a couple of different data sets using online tools. You’ll need a laptop to do the hands-on activities, but no previous experience or any Python installation is necessary!

A New Home Page for the Duke Digital Repository

DDR Posts - Wed, 2017-01-18 15:13
Today is an eventful day for the Duke Digital Repository (DDR). Later today, I and several of my colleagues will present on the DDR at Day 1 of the Duke Research Computing Symposium. We’ll be introducing new staff who’ll focus on managing, curating, and preserving research data, as well as the role that the DDR will … Continue reading A New Home Page for the Duke Digital Repository

A New Home Page for the Duke Digital Repository

Bitstreams - Wed, 2017-01-18 15:13

Today is an eventful day for the Duke Digital Repository (DDR). Later today, I and several of my colleagues will present on the DDR at Day 1 of the Duke Research Computing Symposium. We’ll be introducing new staff who’ll focus on managing, curating, and preserving research data, as well as the role that the DDR will … Continue reading A New Home Page for the Duke Digital Repository

The post A New Home Page for the Duke Digital Repository appeared first on Bitstreams: The Digital Collections Blog.

Using R to orchestrate APIs for Academic Research

Events - All Combined (Huginn Feed) - Wed, 2017-01-18 15:00
Wed, Jan 18, 2017
10:00 AM - 11:00 AM
Bostock Library - The Edge Workshop RoomFirst Floor
The R programming language is a flexible and extensible environment for data manipulation and supports multiple data import methods. Application Programming Interfaces (API) support the harvesting of web-accessible data to create customized datasets. This session will discuss and demonstrate the ingestion and manipulation of JSON formatted data from a publicly accessible API. Techniques learned in this session can be transferred to harvesting from other data APIs.

Data Science Sampler: Using R to orchestrate APIs for Academic Research

Bostock Library - The Edge
West Campus

The R programming language is a flexible and extensible environment for data manipulation and supports multiple data import methods. Application Programming Interfaces (API) support the harvesting of web-accessible data to create customized datasets.  This session will discuss and demonstrate the ingestion and manipulation of JSON formatted data from a publicly accessible API.  Techniques learned in this session can be transferred to harvesting from other data APIs.

Data Science Sampler: Using R to orchestrate APIs for Academic Research

All Libcal Events (Huginn Feed) - Wed, 2017-01-18 15:00
Bostock Library - The Edge
West Campus

The R programming language is a flexible and extensible environment for data manipulation and supports multiple data import methods. Application Programming Interfaces (API) support the harvesting of web-accessible data to create customized datasets.  This session will discuss and demonstrate the ingestion and manipulation of JSON formatted data from a publicly accessible API.  Techniques learned in this session can be transferred to harvesting from other data APIs.

CIT Open Office Hours

CIT Events Test - Wed, 2017-01-18 15:00
Bostock 024
West Campus

Want to change your syllabus? Need help creating an online discussion board? CIT consultants are available to discuss course design and instructional technology.  Come by to ask questions about active learning in class or how to think about teaching a new course. We can also answer questions about using Sakai, WordPress, and other Duke supported instructional technologies for teaching and learning. REGISTRATION IS NOT REQUIRED.

Steal this data: Using R and Github for Open, Collaborative Research

Events - All Combined (Huginn Feed) - Wed, 2017-01-18 14:00
Wed, Jan 18, 2017
9:00 AM - 10:00 AM
Bostock Library - The Edge Workshop RoomFirst Floor
GitHub is a website where you can share data and code publicly or within a small group of collaborators. Sharing data projects on GitHub can be a great back-up solution and can also help you build a portfolio of data projects. "Stealing" and improving projects that have been shared on GitHub is also a great opportunity to contribute to a larger effort or to learn new skills from more experienced coders and analysts. If you already use RStudio to work on data projects, you can easily use the built-in "projects" to connect straight to an existing GitHub repository. In this workshop, we will use RStudio to connect to a GitHub repository, and then we will walk through basic data analysis and visualization tasks with packages from Hadley Wickham's tidyverse (e.g., dplyr, tidyr, ggplot2). You should only need to bring a laptop with a web browser for this workshop, but we recommend that you try out the RStudio Container available at the OIT Docker Containers site before you arrive. Email askdata@duke.edu if you have any trouble accessing RStudio from the link above.

Data Science Sampler: Steal this data: Using R and GitHub for Open, Collaborative Research

Bostock Library - The Edge
West Campus

GitHub is a website where you can share data and code publicly or within a small group of collaborators.  Sharing data projects on GitHub can be a great back-up solution and can also help you build a portfolio of data projects.  "Stealing" and improving projects that have been shared on GitHub is also a great opportunity to contribute to a larger effort or to learn new skills from more experienced coders and analysts.  If you already use RStudio to work on data projects, you can easily use the built-in "projects" to connect straight to an existing GitHub repository. 

In this workshop, we will use RStudio to connect to a GitHub repository, and then we will walk through basic data analysis and visualization tasks with packages from Hadley Wickham's tidyverse (e.g., dplyr, tidyr, ggplot2).  You should only need to bring a laptop with a web browser for this workshop, but we recommend that you try out the RStudio Container available at the OIT Docker Containers site before you arrive.  Email askdata@duke.edu if you have any trouble accessing RStudio from the link above.

Data Science Sampler: Steal this data: Using R and GitHub for Open, Collaborative Research

All Libcal Events (Huginn Feed) - Wed, 2017-01-18 14:00
Bostock Library - The Edge
West Campus

GitHub is a website where you can share data and code publicly or within a small group of collaborators.  Sharing data projects on GitHub can be a great back-up solution and can also help you build a portfolio of data projects.  "Stealing" and improving projects that have been shared on GitHub is also a great opportunity to contribute to a larger effort or to learn new skills from more experienced coders and analysts.  If you already use RStudio to work on data projects, you can easily use the built-in "projects" to connect straight to an existing GitHub repository. 

In this workshop, we will use RStudio to connect to a GitHub repository, and then we will walk through basic data analysis and visualization tasks with packages from Hadley Wickham's tidyverse (e.g., dplyr, tidyr, ggplot2).  You should only need to bring a laptop with a web browser for this workshop, but we recommend that you try out the RStudio Container available at the OIT Docker Containers site before you arrive.  Email askdata@duke.edu if you have any trouble accessing RStudio from the link above.

Pop Culture in Asia and Oceania

test-endeca-feed - Wed, 2017-01-18 00:00

Published: Santa Barbara, California : ABC-CLIO, an imprint of ABC-CLIO, LLC, [2016]

Currently held at: DUKE