Online
October 27, 2021
8:30 - 12:30 EST
Instructors: Karen Soenen
Helpers: Amber York, Stace Beaulieu, Andrew Reed, Emma Ozanich, Ariel Vardi-Chouchana
Data reuse saves time and accelerates the pace of scientific discovery. By making your data open and available to others, you make it possible for future researchers to answer questions that haven’t yet been asked. But how do you actually reuse the data that you put in repositories?
This is a 4 hour workshop tailored to the ocean sciences. We aim to teach the basics of data reuse using ERDDAP servers maintained by ocean science specific repo's and programs: BCO-DMO, BGC-Argo and OOI. The processig environment where the data will be pulled in to is Python, but other programs such as R and Matlab can use of the same technology. There is no need to have background in API's, however some basic python understanding is necessary, using libraries and basics of the pandas library.
The need for general coding skills as well as domain-specific training in programming skills to accomplish scientific and engineering goals permeates all departments and levels at WHOI. These skills are often learned on the job in a self-directed way. Formal training in modern coding and reproducible data science is a more efficient way to learn, leads to code adhering to best practices for readability and reproducibility, and most importantly, leads to a community of practice of scientific programming that reinforces these ideas and methods. WHOI also has a need for domain-specific training in programming skills.
The Ocean Informatics Work Group strives to obtain such data community at WHOI and encourages the community to help one another and to apply what they have learned to their own research problems. The workshop is sponsored by a DDVPR Technical Staff Training Award
For more information on upcoming events on data and workshops see the Ocean Informatics Working Group events logs.
Who: This workshop is targeted towards the technical WHOI staff in order to improve project efficiency and build technical skills. It will only be held for 20 people at a time through an online Zoom meeting. There is no need to have background in API's, however some basic python understanding is necessary, using libraries and basics of the pandas library.
Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: October 27, 2021. Add to your Google Calendar.
Requirements:
Accessibility: We are dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email ksoenen@whoi.edu , adyork@whoi.edu , stace@whoi.edu or areed@whoi.edu for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
How to register?: Please register using the following link.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
Please be sure to complete these surveys before and after the workshop.
| Before | Pre-workshop survey |
| 08:30 | Introduction to serving data online |
| 09:45 | Break |
| 10:00 | From Server to your Environment |
| 10:45 | Break |
| 11:00 | Aggregating multiple Datasets & Exercise |
| 12:00 | Questions & Wrap-Up |
| 12:30 | END |
| Before | Post workshop survey |
To participate in a workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.
Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options: