DAACS Open Academy offers free virtual workshops and classes on a wide range of archaeological topics. In 2021, DAACS Open Academy focuses on teaching participants how to create and work with digital archaeological data.  The classes are designed for those new to working with digital data but also open to all levels of learners in all fields of archaeology.  Although each class builds on the previous one and participants will get the most from attending all sessions, learners can pick and choose which sessions to attend.  If a learner attends all sessions in a short-course series, they will receive a certificate of completion.

Summer Short Course 2021

Digital Data Collection in Archaeology

Workshop 1: Creating a Digital Dataset That Meets Your Research Needs

Date: Tuesday, July 6, 2021
Time: 7 – 9 pm EST
Instructors: Jillian Galle (Director, DAACS) and Elizabeth Bollwerk (Project Director for DAACS)
Workshop Description: This class will discuss how to go about turning paper records, or simply just the artifacts, into a digital dataset. The focus is on the critical concepts of creating a dataset and/or database, not the specific programs themselves. Using DAACS as an example, we will discuss the importance of creating a standardized database that meets your research needs. In interactive break-out sessions, small groups will be given an example research topic and description of the data and will be asked to draft a digital data plan they will present to the entire class.

Students will learn:

  1. How your research objectives are directly linked to the types of data you collect and how you collect them.
  2. How to develop and refine research questions that can be answered archaeologically. 
  3. How to identify and collect the data you need to answer your research questions. 

→Register Here for Workshop 1

Workshop 2: Choosing Digital Tools for Archaeological Research

Date: Tuesday, July 13, 2021
Time: 7 – 9 pm EST
Instructors: Elizabeth Bollwerk (Project Director for DAACS) and Jillian Galle (Director, DAACS)
Workshop Description: While DAACS runs on open source PostgreSQL, this class explores the pros and cons of digital tools that most students and scholars are using: Google sheets, Excel, and Access. 

Students will learn:

  1. Learn about different digital tools and recognize when to apply them. i.e. when do you use a spreadsheet, when do you use a database, when do you use a stats package, when you use a tool to manipulate data.
  2. How to create a digital dataset that meets your research needs while also conforming to best practices for doing Open Science. 

→Register Here for Workshop 2

Workshop 3: Working with Legacy Digital Data

Date: Tuesday, July 20, 2021
Time: 7 – 9 pm EST
Instructors: Elizabeth Bollwerk (Project Director for DAACS), Jillian Galle (Director, DAACS), and Sarah Platt (DAACS Archaeological Analyst)
Workshop Description: Using example legacy datasets, we explore how to clean up existing digital data up for use in inter and intra site research.  We start by parsing a single legacy dataset and move on to discussing how to prepare multiple legacy datasets for comparison. Please note, we will not be discussing methods for turning paper records into digital data. This class instead focuses on working with digitized legacy data.

Students will learn:

  1. How to read legacy data and identify analytical weak spots
  2. How to identify the bottlenecks in legacy data that may restrict the types of questions you can ask.
  3. How to address productively the unique challenges of legacy data. 
  4. The basics of data wrangling: identify gaps in the data and discrepancies, learn how to remove or mediate these issues during the data standardization process.

→Register Here for Workshop 3

Workshop 4: Pivot Tables, Queries, and Visualizing Your Data

Date: Tuesday, July 27, 2021
Time: 7 – 9 pm EST

Instructors: Jillian Galle (Director, DAACS) and Elizabeth Bollwerk (Project Director for DAACS)
Workshop Description: This class focuses on how to do basic data manipulations in Excel and Access. Learn how to sort and query a dataset in Excel and Access, how to export data from Access and open in Excel to create pivot tables and plots. We will work with example datasets and do small group work.

Students will learn:

  1. The basics of data manipulation using Excel and MS Access. 
  2. The basics of querying in Access, with a focus on concepts that apply to systems beyond Access.
  3. If time permits, learn a couple key Excel plotting tools.

→Register Here for Workshop 4

Coming October 2021

Introduction to R Programming for Historical Archaeologists, a six workshop series

Lesson 1: Introduction to R, Part 1, with Pete Alonzi
What is R? Why should we be interested in using it? What are its key parts? In this class, you will learn about the program, why it is ideal for archaeological analysis and data sharing, and learn how to write your first program in R.

Lesson 2: Introduction to R, Part 2, with Pete Alonzi
Building on Part I, participants are introduced to  actions, such as how to import a dataset in R. If you have your own digital dataset, we will also give you instructions in this class on how to get it ready for Lesson 7.

Lesson 3: Small Steps with R, with Elizabeth Bollwerk
This lesson reinforces key concepts from Lessons 5 and 6 (Introduction to R). Practice your budding R skills with exercises using real archaeological datasets. We walk you through each one, step-by-step.

Lesson 4: Mean Ceramic Dates and TPQs in R, with Jillian Galle and Fraser Neiman
This class teaches students how to calculate Mean Ceramic Dates and TPQs using ceramic ware types. We walk students through the code using a real archaeological dataset. We discuss each step of the program, and show how it can be adapted for use with your own data.

Lesson 5: Calculate and Plot Relative Frequencies and Abundance Indices in R, with Jillian Galle and Fraser Neiman
This class introduces students to simple calculations in R, including relative frequencies and abundance indices. The work will build off the dataset used in previous lessons. 

Lesson 6: Learn Seriation in R, with Fraser Neiman and Jillian Galle
Learn how to seriate data using R and produce plots by frequency and stratigraphy, and learn how to seriate different analytical groups.