Field to Database: Difference between revisions

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! colspan="2" style="background:#D58B28;width:200px;font-size:10pt" |Data Carpentry
! colspan="2" style="background:#D58B28;width:200px;font-size:10pt" |Data Carpentry
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| colspan="2" style="text-align:center;font-size:7pt" | [[Image:ReproducibleWorkflows.png|center|400px|Image:ReproducibleWorkflows.png]]<br />
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!colspan="2" style="background:#D58B28;text-align:center;font-size:9pt" | Quick Links for Data Carpentry
!colspan="2" style="background:#D58B28;text-align:center;font-size:9pt" | Quick Links for Data Carpentry
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|[https://www.idigbio.org/wiki/index.php/Data_Carpentry#Agenda Data Carpentry Agenda]
|Link to Agenda
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|[https://www.idigbio.org/biblio?f%5bkeyword%5d=436 Data Carpentry Biblio Entries]
|Workshop Presentation Biblio Entries
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|[https://www.idigbio.org/wiki/index.php/Data_Carpentry#Link_to_Workshop_Report Data Carpentry Report]
|Workshop Blog
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[[Category:Workshop]][[Category: Data carpentry]][[Category: Biodiversity informatics]]
[[Category:Workshop]][[Category: Data carpentry]][[Category: Biodiversity informatics]]
This wiki supports the Data Carpentry Workshop held simultaneously at the University of Florida at iDigBio and AMNH on September 29-30, 2014. It is the first in a series of four biodiversity informatics workshops planned in the upcoming year (2014-2015) for iDigBio. The next workshop in this series is [https://www.idigbio.org/wiki/index.php/Data_Sharing_Data_Standards_and_Demystifying_the_IPT Data Sharing, Data Standards, and Demystifying the IPT] (January 13-14, 2015).
This wiki supports the Workshop - Field to Database: Biodiversity Informatics and Data Management Skills for Specimen Based Research. Where? The University of Florida at iDigBio from March 9 - 12, 2015. It is the third in a series of four biodiversity informatics workshops planned in the upcoming year (2014-2015) for iDigBio. The fourth workshop in this series is Sept 15-16, 2015 and focuses on Data Management for Collection Managers.


== General Information ==
== General Information ==


[http://datacarpentry.org/ Data Carpentry]'s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain.
This workshop's aim is to investigate current trends in collecting, and focus on best practices and skills development for supporting the collection of robust, fit-for-research-use data. This 4-day short course is designed to be hands-on and will mix lectures with field work and participant exercises and presentations.


Our curriculum includes:
Our curriculum includes:


* Day 1 morning: Better spreadsheet skills and introduction to more powerful tools
*(synopsis here)
* Day 1 afternoon: Introduction to databases, combining and querying data using SQL
* Day 2 morning: Introduction to the shell, Introduction to R and managing data in R
* Day 2 afternoon: Collaborative data management & publishing data


The concepts, skills, and tools we teach are domain-independent, but example problem cases and datasets will be taken from organismal and evolutionary biology, biodiversity science, ecology, and environmental science.
The concepts, skills, and tools we teach are domain-independent, but example problem cases and datasets will be taken from organismal and evolutionary biology, biodiversity science, ecology, and environmental science.


Data Carpentry's teaching is hands-on, so participants are required to bring their own laptops. (We will provide instructions on setting up the required software several days in advance) ''There are no pre-requisites, and we will assume no prior knowledge about the tools.''
Skill Level: Some exposure to R is recommended. This workshop is not explicitly for beginners. But R experience is not mandatory. If you are new to R, we recommend an intro to R coursera course prior to the workshop.


Updates will be posted to this website as they become available.
Updates will be posted to this website as they become available.


'''Software Installation Requirements''' and additional information is available at the github web site for the project:
'''Software Installation Requirements''' and additional information is available at the github web site for the project:
 
<github links to datasets here>
http://datacarpentry.github.io/2014-09-29-iDigBio/


=== Planning Team ===
=== Planning Team ===


[mailto:francois.michonneau@gmail.com François Michonneau] (FLMNH - iDigBio), Katja Seltmann (TTD-TCN, MNH), Matt Collins (ACIS - iDigBio), Dan Stoner (ACIS - iDigBio), [mailto:dpaul@fsu.edu Deborah Paul] (FSU - iDigBio), Tracy K. Teal (BEACON), Pam Soltis (FLMNH - iDigBio PI), Derek Masaki (USGS - BISON), Shari Ellis (iDigBio), Kevin Love (iDigBio), Mike Smorul (SESYNC), Juliet Pulliam (UF), Ming Tang (Tommy) (UF), and assistance from Nirav Merchant at iPlant.
[mailto:francois.michonneau@gmail.com François Michonneau] (FLMNH - iDigBio), Katja Seltmann (TTD-TCN, MNH), Pam Soltis (FLMNH - iDigBio PI), Derek Masaki (USGS - BISON), Deb Paul (iDigBio), Shari Ellis (iDigBio), Kevin Love (iDigBio)


===About===
===About===


'''Instructors:''' François Michonneau (FLMNH - iDigBio), Tracy Teal (MSU - BEACON), Matt Collins (ACIS - iDigBio), Katja Seltmann (TTD-TCN, AMNH)
'''Instructors:''' François Michonneau (FLMNH - iDigBio), Katja Seltmann (TTD-TCN, AMNH), Derek Masaki (USGS)


'''Assistants:''' Dan Stoner (ACIS - iDigBio), Deborah Paul (FSU - iDigBio), Pam Soltis (FLMNH - iDigBio PI), Derek Masaki (USGS), Shari Ellis (iDigBio), Kevin Love (iDigBio), Juliet Pulliam (UF), Tommy Tang (UF), Bernardo Santos (AMNH), Jonathan Foox (AMNH)
'''Assistants:''' Dan Stoner (ACIS - iDigBio), Deborah Paul (FSU - iDigBio), Matt Collins (ACIS - iDigBio)


'''Who:''' The course is aimed at graduate students, postdocs, research staff, and other researchers.
'''Who:''' The course is aimed at graduate students, postdocs, research staff, and other researchers.


'''Skill Level:''' Beginner. Data Carpentry courses are meant for novices.
'''Skill Level:''' Non-beginners with respect to R. Some exposure to R would is recommmended. This workshop is not explicitly for beginners. But R experience is not mandatory. If you are new to R, we recommend an intro to R coursera course prior to the workshop.


'''Where:''' [https://www.idigbio.org iDigBio] in Gainesville, FL and [http://www.amnh.org AMNH] (AMNH in New York City via teleconference)
'''Where:''' [https://www.idigbio.org iDigBio] in Gainesville, FL


'''Requirements:''' Participants must bring a laptop with a few specific software packages installed. If you will be travelling from out of town, you will need to make your own travel arrangements.
'''Requirements:''' Participants must bring a laptop with a few specific software packages installed. If you will be traveling from out of town, you will need to make your own travel arrangements.


'''Contact:''' Please email data-carpentry@software-carpentry.org for questions and information not covered here.
'''Contact:''' Please email Deb Paul, dpaul@fsu.edu for questions and information not covered here.


'''Twitter:''' [https://twitter.com/hashtag/datacarpentry #datacarpentry]
'''Twitter:''' hashtags


Tuition for the course is free, but prior registration is required for attending. You can register [https://www.idigbio.org/content/data-carpentry-workshop-idigbio here.]
Tuition for the course is free, but prior registration is required for attending. You can register [https://www.idigbio.org/content/data-carpentry-workshop-idigbio here.]
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===Software Installation Details===
===Software Installation Details===
Software needed for Data Carpentry Workshop at iDigBio
Software needed for Data Carpentry Workshop at iDigBio
*[http://datacarpentry.github.io/2014-09-29-iDigBio/ Data Carpentry software installation instructions]
*link to software installation instructions
*You must RSVP that the required software is installed, prior to the workshop. Instructors are available to help - see your email for their contact information.
*You must RSVP that the required software is installed, prior to the workshop. Instructors are available to help - see your email for their contact information.


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==Agenda==
==Agenda==
*[https://idigbio.adobeconnect.com/e4r9cm91cjg/event/login.html?campaign-id=dc2014pt1 AdobeConnect #datacarpentry Room]
*[https://idigbio.adobeconnect.com/e4r9cm91cjg/event/login.html?campaign-id=dc2014pt1 AdobeConnect #datacarpentry Room]
*Pre-workshop meeting and dinner at Piesano's, 6 PM Sunday September 28th. [https://www.google.com/maps/preview?ll=29.652657,-82.338597&z=15&t=m&hl=en-US&gl=US&mapclient=embed&q=1250+W+University+Ave+Gainesville,+FL+32601 Piesano's] is at NW 13th St. and 1250 W. University Ave. in Gainesville. All welcome.
*Pre-workshop meeting and dinner at Piesano's, 6 PM Sunday March 8th, 2015. [https://www.google.com/maps/preview?ll=29.652657,-82.338597&z=15&t=m&hl=en-US&gl=US&mapclient=embed&q=1250+W+University+Ave+Gainesville,+FL+32601 Piesano's] is at NW 13th St. and 1250 W. University Ave. in Gainesville. All are welcome. Please do RSVP to Deb Paul, dpaul@fsu.edu


{| class="wikitable" style="width: 55%;"
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Revision as of 19:10, 22 January 2015

Data Carpentry

Quick Links for Data Carpentry
Link to Agenda
Workshop Presentation Biblio Entries
Workshop Blog

This wiki supports the Workshop - Field to Database: Biodiversity Informatics and Data Management Skills for Specimen Based Research. Where? The University of Florida at iDigBio from March 9 - 12, 2015. It is the third in a series of four biodiversity informatics workshops planned in the upcoming year (2014-2015) for iDigBio. The fourth workshop in this series is Sept 15-16, 2015 and focuses on Data Management for Collection Managers.

General Information

This workshop's aim is to investigate current trends in collecting, and focus on best practices and skills development for supporting the collection of robust, fit-for-research-use data. This 4-day short course is designed to be hands-on and will mix lectures with field work and participant exercises and presentations.

Our curriculum includes:

  • (synopsis here)

The concepts, skills, and tools we teach are domain-independent, but example problem cases and datasets will be taken from organismal and evolutionary biology, biodiversity science, ecology, and environmental science.

Skill Level: Some exposure to R is recommended. This workshop is not explicitly for beginners. But R experience is not mandatory. If you are new to R, we recommend an intro to R coursera course prior to the workshop.

Updates will be posted to this website as they become available.

Software Installation Requirements and additional information is available at the github web site for the project: <github links to datasets here>

Planning Team

François Michonneau (FLMNH - iDigBio), Katja Seltmann (TTD-TCN, MNH), Pam Soltis (FLMNH - iDigBio PI), Derek Masaki (USGS - BISON), Deb Paul (iDigBio), Shari Ellis (iDigBio), Kevin Love (iDigBio)

About

Instructors: François Michonneau (FLMNH - iDigBio), Katja Seltmann (TTD-TCN, AMNH), Derek Masaki (USGS)

Assistants: Dan Stoner (ACIS - iDigBio), Deborah Paul (FSU - iDigBio), Matt Collins (ACIS - iDigBio)

Who: The course is aimed at graduate students, postdocs, research staff, and other researchers.

Skill Level: Non-beginners with respect to R. Some exposure to R would is recommmended. This workshop is not explicitly for beginners. But R experience is not mandatory. If you are new to R, we recommend an intro to R coursera course prior to the workshop.

Where: iDigBio in Gainesville, FL

Requirements: Participants must bring a laptop with a few specific software packages installed. If you will be traveling from out of town, you will need to make your own travel arrangements.

Contact: Please email Deb Paul, dpaul@fsu.edu for questions and information not covered here.

Twitter: hashtags

Tuition for the course is free, but prior registration is required for attending. You can register here.

Workshop Evaluation

Software Installation Details

Software needed for Data Carpentry Workshop at iDigBio

  • link to software installation instructions
  • You must RSVP that the required software is installed, prior to the workshop. Instructors are available to help - see your email for their contact information.

We use Adobe Connect extensively in this workshop. Please perform the systems test using the link below. Also, you will also need to install the Adobe Connect Add-In to participate in the workshop.

Agenda

  • AdobeConnect #datacarpentry Room
  • Pre-workshop meeting and dinner at Piesano's, 6 PM Sunday March 8th, 2015. Piesano's is at NW 13th St. and 1250 W. University Ave. in Gainesville. All are welcome. Please do RSVP to Deb Paul, dpaul@fsu.edu
Course Overview - Day 1
8:30-8:45 Introductions & Overview, Data Carpentry: Making data science more efficient All, Deb Paul
8:45-9:00 Linking Heterogeneous Data in Biodiversity Studies: the need for data carpentry Pam Soltis, iDigBio PI
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
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 Sharing your data and your results: RMarkdown and Figshare François Michonneau
5:00-5:30 Review / Wrap up / Evaluation and Feedback

Future plan: Scaling it up: Demo using the iPlant Discovery Environment (DE)

Link to Workshop Report

Data Carpentry - Please can we have some more?!

Logistics

Adobe Connect Access

Adobe Connect will be used to provide access for a remote classroom at the American Museum of Natural History. Workshop participants will be encouraged to be logged in to the Adobe Connect room to facilitate sharing with this remote group: Already registered and accepted?

Presentation Documents and Links

Links to any presentations (like power points) here.

Workshop Recordings

Day 1

Day2

Data Carpentry Resources and Links

Links from You

Related Blog Posts and Photos

Digitization Training Workshops Wiki Home