Computational & collaboration skills for integrative conservation science workshop

This intensive 4-day workshop on Computational and Collaboration Skills for Integrative Conservation Science held at NCEAS from June 27th to 30th aims to help participants to:

• Integrate collaborative science best practices within SNAPP Working Groups
• Empower participants to adopt computing best practices in their scientific workflows and data management
• Create a greater sense of SNAPP community identity among the postdocs
• Foster potential collaboration and enhanced knowledge-sharing across SNAPP Working Groups
• Familiarize and instruct researchers in the use of NCEAS (and other) cyberinfrastructures and services
• Clarify and reinforce commitment to open science

Agenda shared

https://docs.google.com/document/d/1orLSZVJk9jy_GgwRfVUcwtLF35aHjdDepGjX95X2gqc/edit#heading=h.wdgx4js6ie85

Modules status

order	Module Name	Lesson	Preparation Status
00	Introduction	presentations
01	Command line	command-line	Adapated
01	Command line	vim	Adapted
01	Command line	bash loops	Ready
01	Command line	regular expression	Adapted
02	Working remote	servers and networks	Adapted
02	Working remote	ssh	Adapted
02	Working remote	alternative ways to connect to Aurora	Created
03	Collaborative Science	Collaborative Tools	Adapted information from OSS
04	Introduction to R	R basics	Created 04
04	Introduction to R	getting help	Gathered from OSS
04	Introduction to R	RStudio	Created
05	Code Versioning	git basics	Created
05	Code Versioning	git remote	Created
05	Code Versioning	GitHub	Created
05	Code Versioning	using git from RStudio	Created
06	Code best Practices	Code best practices and scoping	Created
07	Introduction to Python	quick dive into Python	Adapted from OSS
07	Introduction to Python	R vs Python	Adapted from OSS
08	Advanced R	Data Wrangling (dplyr & tidyr)	Created
09	Using multiple cores	multicore processing	Created
09	Intro to geospatial	GIS concepts	Adapted
09	Intro to geospatial	QGIS	Adapted
09	Intro to geospatial	Processing rasters on Aurora with R	Created
09	Intro to geospatial	R raster	Gathered from OSS - not used
09	Intro to geospatial	PostGIS	Gathered from OSS - not used
10	Open Science	intro to KNB	Live demo by Lauren Palmer
11	Data Modeling and Semantics	Presentations from Mark
12	Data visualization	Sam did a demo of her shiny app

License

National Center for Ecological Analysis and Synthesis, NCEAS, UCSB

Copyright (c) 2016, the Regents of the University of California

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.