Funding, News and Announcements

Message from ACENET

We have the following training sessions coming up that may be of interest to faculty and students. There are no fees. 

Using Spreadsheets for Humanities, Social Sciences, & Librarians
8 November, 1330-1630hrs Atlantic / 1400-1700 hrs NL

This is a beginner level and the first session of our Humanities & Social Sciences Data Organization & Analysis Series. To use tools that make computation and analysis more efficient, such as programming languages like R or Python, we need to structure our data the way that computers need the data. In this workshop, you will learn good data entry practices, how to avoid common formatting mistakes, approaches for handling dates in spreadsheets, basic quality control and data manipulation, and exporting data from spreadsheets. We will focus on examples and challenges from Humanities, Social Sciences, and library research fields and use librarycarpentry.org materials. There are no prerequisites. DETAILS & REGISTER

SQL for Humanities, Social Sciences, & Librarians
15, 22 November, 1230-1530hrs Atlantic / 1300-1600hrs NL

This two-part session is the second of our beginner level Humanities & Social Sciences Data Organization & Analysis Series. Many web applications, research project websites, and library & archival repositories store data in relational databases. A relational database can help you keep your data separate from your analysis, improve quality control of data entry, reduce duplication of data, and improve your ability to search across large and complex datasets. Structured Query Language, or SQL, is a powerful language used to search and manipulate relational databases. This workshop teaches participants about relational databases and SQL using SQLite. You will learn how to write queries in SQL and how to use aggregate functions to combine data. It uses examples and challenges from Humanities, Social Sciences, and library research fields and uses librarycarpentry.org materials. There are no prerequisites. DETAILS & REGISTER

Using Git Tools to Manage File Changes and Collaborate: Version Control
21 November, 1300-1630hrs Atlantic / 1330-1700hrs NL

Version control is the practice of managing and sharing changes to documents, programming code, websites or any other files to keep track of what’s been changed, by whom, when and why. All previous versions of files are saved and you can even revert to a previous version. Git-portal sites, like GitHub or GitLab, offer many useful features to facilitate collaborative development. This is a two-part series. In this beginner level first session, we will show you how to create a repository, record changes to files, explore and restore from the recorded history and how to resolve conflicts (when one member overwrites another’s changes). DETAILS & REGISTER

Using Git Tools to Manage File Changes and Collaborate: Collaboration
28 November, 1300-1630hrs Atlantic / 1330-1700hrs NL

This is the second session of our two-part series. This workshop will focus on collaborative development workflows using Git-collaboration sites like GitHub, GitLab or Bitbucket, and will demonstrate how to work with branches, issue tracking, contribute to projects using pull-/merge-requests, code-review, how to run CI/CD-pipelines and use other common features of these platforms. Prerequisite: basic experience using Git version control, participation in the 21 November workshop, or attendance at the Git lecture of a software carpentry workshop. DETAILS & REGISTER

Visualization with R
29 November, 1300-1500hrs Atlantic / 1330-1530hrs NL

When working with large sets of numbers, it is often more useful to display the information graphically using histograms, scatter plots, bar charts, box plots and other depictions. This workshop teaches participants how to gain insights into data through visualization using R as the programming language. Participants will learn how to: create simple scatterplots, histograms, and box plots; compare the plotting features of base R and the ggplot2 package; plot with ggplot2; plot time series data; and arrange and export plots. Basic knowledge of R is recommended, although not mandatory. DETAILS & REGISTER