Merge pull request #171 from stephlabou/main

update workshops

_data/yml_2025/workshops.yml

@@ -33,7 +33,7 @@
   start: 11
   duration: 60
   type: hands-on
-  description: Do you lie awake at night waiting for your R script to finish? Is your laptop running out of memory due to merging million row data frames? Do you panic at the thought of opening your data file in Excel? This presentation is for you! We’ll cover some low hanging fruit and basic approaches to squeeze the most out of your local machine when dealing with larger data sets. We will walk through some efficient command line tools and file formats to get the most out of your laptop.
+  description: Do you lie awake at night waiting for your R script to finish? Is your laptop running out of memory due to merging million row data frames? Do you panic at the thought of opening your data file in Excel? This presentation is for you! We'll cover some low hanging fruit and basic approaches to squeeze the most out of your local machine when dealing with larger data sets. We will walk through some efficient command line tools and file formats to get the most out of your laptop.
   registration-page: 
   recording: 
   slides: 
@@ -72,8 +72,8 @@
   start: 12
   duration: 90
   type: hands-on
-  description: Coming soon!
-  registration-page: 
+  description: "Wikipedia is among the most visited websites in the world, but even Wikipedia&#39;s staff acknowledge that its content reflects its editorship (75.6 percent of US editors are white and 90 percent are male). These editors decide which topics are &#39;notable&#39; and therefore worthy of inclusion, which often excludes genderqueer and female individuals and topics from the global South. Read more in our blog post, <a href=\"https://update.lib.berkeley.edu/2025/01/09/the-bias-of-notability-in-wikipedia/\" target=\"_blank\">The Bias of Notability in Wikipedia</a>.You can be part of the solution! Join us on February 10 on Zoom for a tutorial for the beginner Wikipedian, then edit some Wikipedia entries yourself. <a href= \"https://en.wikipedia.org/w/index.php?title=Special:CreateAccount&returnto=Main+Page\" target=\"_blank\">Sign up for a free Wikipedia account</a> in advance (optional). You may bring topic ideas or articles you&#39;d like to edit, or we&#39;ll help you find a way to make a difference in an area of interest to you."
+  registration-page: https://berkeley.libcal.com/calendar/workshops/editathon-2025
   recording: 
   slides: 
 
@@ -325,7 +325,7 @@ No experience or special software is required to participate in this workshop. T
   duration: 60
   type: hands-on
   description: 'Qualitative research encompasses many methodological approaches, and one of the most powerful is oral history. As described by the UC Berkeley Oral History Center, this approach involves producing "first-person narrative topical and life histories that explore the narrator’s understanding of events through a recorded interview...[this] results in a lightly edited transcript of the interview that the narrator reviews, which is then published." This differs from the more familiar qualitative research interview, in that it is a two-directional, and transparent process... which comes with its own challenges. In this workshop you will learn more about these synergies and contrasts between and within methods, hear more about best practices for conducting oral history projects, and have time to ask questions about project ideas of your own.'
-  registration-page: 
+  registration-page: https://berkeley.libcal.com/calendar/workshops/OralHistoryForQualResearchers
   recording: 
   slides: 
 
@@ -449,7 +449,7 @@ Hands-on exercise using duckDB, dbplyr and how it can be used to learn some SQL
   time: 3:00pm-3:50pm
   start: 3
   duration: 60
-  type: seminar
+  type: lecture
   description: "Sharing and reusing data can effectively reduce redundant efforts in data collection. It also enhances the efficiency of scientific research investments by preventing the reinvention of the wheel. Building a sustainable data-reuse process and culture requires frameworks that include policies, standards, roles, and responsibilities, all of which must address the diverse needs of data providers, curators, and (re)users alike.
 
 A critical step in the data sharing and (re)use cycle involves researchers depositing their research data into data-sharing infrastructures, keeping their data in a sharable and usable form, making other researchers aware of their data, and identifying data that are (re)usable for their needs.
@@ -519,7 +519,7 @@ The session is structured to last approximately 50 minutes, comprising a 40-minu
   duration: 60 
   type: hands-on
   description: Join us for a workshop designed to equip you with the skills to responsibly assess and use existing datasets for new research. Using the U.S. National Parks Visit Data as a real-world example, we will consider key issues in reusing data, including historical context, data collection methods, and ethical aspects of the dataset. This workshop will underscore the importance of documentation, provenance, and context in utilizing existing datasets for research, and participants will gain skills in evaluating data for reuse and suitability for their work.
-  registration-page: 
+  registration-page: https://uci.zoom.us/meeting/register/tJMrceGqqjIiHNxDjDzPw3YbR3i0ja_k0TwG
   recording: 
   slides: