You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: index.qmd
+30-19Lines changed: 30 additions & 19 deletions
Original file line number
Diff line number
Diff line change
@@ -20,34 +20,45 @@ The **Designing a Reproducible and Collaborative Lab (RCL) Program**, currently
20
20
21
21
### Topics
22
22
23
-
- Coding as a lab
24
-
- Managing your lab data
25
-
- Automating your analytical workflows
26
-
- Documenting & preserving things to make them reusable
23
+
- Managing your lab data more efficiently
24
+
- Collaborative coding as a lab
25
+
- Automating your analytical workflows from raw data to scientific outputs
26
+
- Documenting & preserving things to make them reusable
27
+
27
28
28
29
### Format
29
30
30
-
- Scheduled at your convenience
31
-
- 4 workshops (2-3h) as a primer on a specific topic
32
-
- Personalized coaching sessions focused on lab-specific needs
31
+
- Scheduled at your convenience
32
+
- 4 whole lab workshops as a primer on a specific topic
33
+
- Personalized coaching sessions focused on lab-specific needs
34
+
35
+
### Lab Outcomes
36
+
37
+
- More reproducible management of your lab’s scientific products (data, code, and more!)
38
+
- Better analytical strategies for collaboration
39
+
- Safety nets for your research lab content
40
+
- More efficient reuse of your work
41
+
- Streamlined on- and off- boarding of collaborators
42
+
43
+
44
+
### Learning Opportunities for Lab Members
45
+
46
+
- Leverage GitHub to manage and collaborate on your lab’s code
47
+
- Develop strategies to centralize and manage your lab data
48
+
- Protect your lab’s scientific products against loss through backup and computing resources strategies
49
+
- Develop guidelines and templates on how to document your Lab research products and improve their reusability
50
+
- Adopt "good enough" research computing strategies for robust and more reusable code development & data management
33
51
34
-
### Outcomes
52
+
### Testimony
35
53
36
-
- More reproducible management of your lab's scientific products (data, code, and more!)
37
-
- Better analytical strategies for collaboration safety nets for your research lab content
38
-
- More efficient reuse of your work
39
-
- Streamlined on- and off-boarding of collaborators
54
+
"Participating in this program has been absolutely invaluable for my team. We all learned so much, from using GitHub for lab coding projects to best practices for naming files, to how to create an ‘asset library’ for all of the video data we collect that will be future-proof and useful for numerous unforeseen projects into the future."
40
55
41
-
### Learning Opportunities
56
+
_-- Dr.Eleanor Caves, former participant_
42
57
43
-
- Leverage GitHub to manage and collaborate on your lab’s code
44
-
- Develop strategies to centralize and manage your lab’s data
45
-
- Set up templates and guidelines on how to document your lab research and improve its reusability
46
-
- Establish lab operating procedures and documentation standards
47
-
- Protect your lab’s scientific products against loss through backup and computing resources strategies
48
58
49
59
### Want to know more?
50
60
51
-
If you are interested in this program, please see the [about](about.qmd) page to connect with us.
61
+
You can read more on the RCL program in the [UCSB Current article](https://news.ucsb.edu/in-focus/librarys-new-consultation-service-targets-campus-research-labs
62
+
). If you are interested in this program, please see the [about](about.qmd) page to connect with us.
0 commit comments