Data Carpentry: Difference between revisions
Jump to navigation
Jump to search
(→Agenda) |
|||
Line 30: | Line 30: | ||
**All welcome. Place/time TBA. | **All welcome. Place/time TBA. | ||
Course Overview - Day 1 | {| class="wikitable" style="width: 55%;" | ||
8:30-9:00 Introductions / Overview / Why Data Carpentry? / How to organize data projects | !colspan="3"| Course Overview - Day 1 | ||
9:00-10:00 Better use of spreadsheets | |- | ||
10:00-10:30 Break | |8:30-9:00 | ||
10:30-12:00 Better use of spreadsheets part II | | Introductions / Overview / Why Data Carpentry? / How to organize data projects | ||
12:00-1:30 Lunch (with OpenRefine Demo - Deb Paul | | All | ||
1:30-3:00 SQL Introduction | |- | ||
3:00-3:30 Break | |9:00-10:00 | ||
3:30-5:00 SQL part II | | Better use of spreadsheets, part I | ||
5:00-5:30 Review / Wrap up for tomorrow | | Tracy Teal | ||
|- | |||
| style="background-color: #eee;" | 10:00-10:30 | |||
Course Overview - Day 2 | | style="background-color: #eee;" | Break | ||
8:30-10:00 Introduction to the shell | | style="background-color: #eee;" | | ||
10:00-10:30 Break | |- | ||
10:30-12: | |10:30-12:00 | ||
12: | | Better use of spreadsheets part II | ||
1:30-3:00 Manipulating and plotting data in R | | Tracy Teal | ||
3:00-3:30 Break | |- | ||
3:30-4:30 Getting data in and out of R | | style="background-color: #eee;" |12:00-1:30 | ||
4:30-5:00 Scaling it up: | | style="background-color: #eee;" | Lunch (with OpenRefine Demo) | ||
5:00-5:30 Advanced | | style="background-color: #eee;" | Deb Paul | ||
5:30-6:00 Review / Wrap up / | |- | ||
|1:30-3:00 | |||
| SQL Introduction | |||
| Matt Collins | |||
|- | |||
| style="background-color: #eee;" | 3:00-3:30 | |||
| style="background-color: #eee;" | Break | |||
| style="background-color: #eee;" | | |||
|- | |||
|3:30-5:00 | |||
| SQL part II | |||
| Matt Collins | |||
|- | |||
|5:00-5:30 | |||
| Review / Wrap up for tomorrow | |||
| | |||
|- | |||
!colspan="3"| Course Overview - Day 2 | |||
|- | |||
|8:30-10:00 | |||
| Introduction to the shell | |||
| Tracy Teal | |||
|- | |||
| style="background-color: #eee;" | 10:00-10:30 | |||
| style="background-color: #eee;" | Break | |||
| style="background-color: #eee;" | | |||
|- | |||
|10:30-12:00 | |||
| Introduction to R | |||
| François Michonneau | |||
|- | |||
| style="background-color: #eee;" |12:00-1:30 | |||
| style="background-color: #eee;" | Lunch (with OpenRefine Demo) | |||
| style="background-color: #eee;" | Deb Paul | |||
|- | |||
|1:30-3:00 | |||
| Manipulating and plotting data in R | |||
| François Michonneau | |||
|- | |||
| style="background-color: #eee;" | 3:00-3:30 | |||
| style="background-color: #eee;" | Break | |||
| style="background-color: #eee;" | | |||
|- | |||
|3:30-4:30 | |||
| Getting data in and out of R: How to integrate R in your workflow | |||
| François Michonneau | |||
|- | |||
|4:30-5:00 | |||
| Scaling it up: Demo using the [http://www.iplantcollaborative.org/ci/discovery-environment iPlant Discovery Environment (DE)] | |||
| François Michonneau | |||
|- | |||
|5:00-5:30 | |||
| Advanced shell | |||
| Matt Collins | |||
|- | |||
|5:30-6:00 | |||
| Review / Wrap up / Evaluation and Feedback | |||
| | |||
|} | |||
==Link to Workshop Report== | ==Link to Workshop Report== |
Revision as of 05:49, 24 August 2014
This wiki supports the Data Carpentry Workshop to be held at the University of Florida at iDigBio. (Date to be announced). It is the first in a series of four biodiversity informatics workshops planned in the upcoming year (2014-2015).
Digitization Training Workshops Wiki Home
Planning Team
- François Michonneau (FLMNH - iDigBio)
- Katja Seltmann (TTD-TCN, AMNH)
- Matt Collins (ACIS - iDigBio)
- Dan Stoner (ACIS - iDigBio)
- Deborah Paul (FSU - iDigBio)
- Tracy K. Teal (BEACON)
- Pam Soltis (FLMNH - iDigBio PI)
- Derek Masaki (USGS)
- Shari Ellis (iDigBio)
- Kevin Love (iDigBio)
- Mike Smorul (SESYNC)
- and assistance from Nirav Merchant at iPlant.
Workshop Evaluation
- link to pre-workshop survey
- link here at end of workshop
Agenda
- pre-workshop meeting (online)
- Software installed?
- Instructors available
- Questions?
- pre-workshop meeting / dinner day before
- All welcome. Place/time TBA.
Course Overview - Day 1 | ||
---|---|---|
8:30-9:00 | Introductions / Overview / Why Data Carpentry? / How to organize data projects | All |
9:00-10:00 | Better use of spreadsheets, part I | Tracy Teal |
10:00-10:30 | Break | |
10:30-12:00 | Better use of spreadsheets part II | Tracy Teal |
12:00-1:30 | Lunch (with OpenRefine Demo) | Deb Paul |
1:30-3:00 | SQL Introduction | Matt Collins |
3:00-3:30 | Break | |
3:30-5:00 | SQL part II | Matt Collins |
5:00-5:30 | Review / Wrap up for tomorrow | |
Course Overview - Day 2 | ||
8:30-10:00 | Introduction to the shell | Tracy Teal |
10:00-10:30 | Break | |
10:30-12:00 | Introduction to R | François Michonneau |
12:00-1:30 | Lunch (with OpenRefine Demo) | Deb Paul |
1:30-3:00 | Manipulating and plotting data in R | François Michonneau |
3:00-3:30 | Break | |
3:30-4:30 | Getting data in and out of R: How to integrate R in your workflow | François Michonneau |
4:30-5:00 | Scaling it up: Demo using the iPlant Discovery Environment (DE) | François Michonneau |
5:00-5:30 | Advanced shell | Matt Collins |
5:30-6:00 | Review / Wrap up / Evaluation and Feedback |
Link to Workshop Report
Logistics
- Logistics
- Where to find food
- Workshop Announcement
Remote Participation
Remote participation will be provided via Adobe Connect: [room URL to be decided]
- Remote can join those present for notes in (Google Doc) or (MoPad)?
Presentation Documents
- links to any presentations (like power points) here.
Workshop Recordings
Day 1
- [8:30am-10:00am]
- [10:30am-12:00pm]
- [1:00pm-3:00pm]
- [3:30-6pm]
Day2
- [8:30am-10:00am]
- [10:30am-12:00pm]
- [1:00pm-3:00pm]
- [3:30-6pm]
Data Carpentry Resources and Links
- Inaugural Data Carpentry Workshop by Tracy K. Teal
- Our First Data Carpentry Workshop by Karen Cranston
- Tales from the First Data Carpentry Workshop by Deb Paul
- Data Carpentry Materials on GitHub
- Ten Simple Rules for the Care and Feeding of Scientific Data. Goodman et al
- Code and Data for the Social Sciences: A Practitioner's Guide. Matthew Gentzkow, Jesse M. Shapiro Chicago Booth and NBER March 10,2014
- Nine simple ways to make it easier to (re)use your data. White et al.