Finalize Flyer

[karthik]

Hi all, Here is the text of the current flyer. @iamciera, could you add a small section on your reproducibility guide and I'll turn this into a PDF and share it with @rellan to circulate around Stanford?

[karthik]

Workshop: Data Science in Ecology using R June 18th Stanford University/time/loc TBD

Description Various types of ecological and evolutionary datasets are widely available on the web. Recent changes to data management plans from funders, data deposition requirements of prominent journals, and the emergence of well-developed repositories like Dryad, TreeBASE, DataONE,, Figshare, GBIF have opened a wealth of potential. Leveraging such resources can facilitate novel synthesis and greater collaboration among researchers without the need to engage in new data collection efforts. rOpenSci is an effort to foster such data driven science among researchers in Ecology and Evolution. Our suite of tools (http://ropensci.org/packages/) allow access to these data repositories through a statistical programming environment that is already a familiar part of the workflow of many scientists. Our tools not only facilitate drawing data into an environment where it can readily be manipulated, but also one in which those analyses and methods can be easily shared, replicated, and extended by other researchers. In this workshop you’ll learn how to access various data sources in R and incorporate open science into your research. Workshop will be hands on with plenty of examples and tutorials.

What to bring: To participate please bring a wifi enabled laptop (any OS) with a modern browser (like Chrome or Firefox). You will use R running on our server. Instructions on installing packages from the demo for your local use will be provided at the workshop.

Presenter: Karthik Ram is a researcher at the Berkeley Institute for Global Change Biology at UC Berkeley, and the lead on the rOpenSci project. Karthik’s interests include community and population ecology, open science and reproducible research. email: karthik.ram@berkeley.edu

Ciera please write something about yourself here.

Local host: Ruben Rellan, rellan@stanford.edu

[karthik]

Current PDF

[iamciera]

Not sure on what to talk about, since the site is self explanatory. What I was thinking is I could talk about collaborating through git, while using the Guide to Reproducibility as a project example. Talk about how the nature of such a guide is complimented by community collaboration through github.

Does that sound reasonable?
Should I add myself as a presenter?

[karthik]

Yes please add yourself as a presenter. 

I think a walk through of how the guide would be great. A lot of people would also want to know more basic things about markdown pandoc etc.

On Thu, May 1, 2014 at 12:30 PM, iamciera notifications@github.com wrote:

Not sure on what to talk about, since the site is self explanatory. What I was thinking is I could talk about collaborating through git, while using the Guide to Reproducibility as a project example. Talk about how the nature of such a guide is complimented by community collaboration through github.
Does that sound reasonable?

Should I add myself as a presenter?

Reply to this email directly or view it on GitHub: https://github.com/ropensci/workshop-stanford-2014-06/issues/1#issuecomment-41947017

[rellan]

First, thank you both for coming over here. -Ciera, I think it would be phenomenal if you could just describe how you are using git to help you and your collaborators to keep track of what you are doing and make sure others are able to repeat your experiments. If you have time it would be great if you could comment a little bit on data vis, maybe ggplot + your new plotly package. -Remember that you would be talking to a mixed audience of ecologists and plant biologists. You guys are the perfect team for this audience!! -Time would be between 2 PM-5 PM -We are at Stanford Campus, but remember that we are the Carnegie Institution for Science and we have two departments here at Stanford Campus: Plant Biology and Global Ecology. -The actual location of the workshop will be Turing Hall right across the street, unless we do not get a lot of people interested. In that case we will do it in the Global Ecology building.

[karthik]

Sounds good @rellan @iamciera Don't sweat the specifics now. Just add a couple of sentences about you describing your (and other) workflows. We can flesh the details later.

[iamciera]

Workshop: Data Science in Ecology using R June 18th Stanford University/time/loc TBD

Description Various types of ecological and evolutionary datasets are widely available on the web. Recent changes to data management plans from funders, data deposition requirements of prominent journals, and the emergence of well-developed repositories like Dryad, TreeBASE, DataONE,, Figshare, GBIF have opened a wealth of potential. Leveraging such resources can facilitate novel synthesis and greater collaboration among researchers without the need to engage in new data collection efforts. rOpenSci is an effort to foster such data driven science among researchers in Ecology and Evolution. Our suite of tools (http://ropensci.org/packages/) allow access to these data repositories through a statistical programming environment that is already a familiar part of the workflow of many scientists. Our tools not only facilitate drawing data into an environment where it can readily be manipulated, but also one in which those analyses and methods can be easily shared, replicated, and extended by other researchers. In this workshop you’ll learn how to access various data sources in R and incorporate open science into your research. Workshop will be hands on with plenty of examples and tutorials.

What to bring: To participate please bring a wifi enabled laptop (any OS) with a modern browser (like Chrome or Firefox). You will use R running on our server. Instructions on installing packages from the demo for your local use will be provided at the workshop.

Presenter: Karthik Ram is a researcher at the Berkeley Institute for Global Change Biology at UC Berkeley, and the lead on the rOpenSci project. Karthik’s interests include community and population ecology, open science and reproducible research. email: karthik.ram@berkeley.edu

Maintaining reproducibility occurs at every step from data collection to publication, but implementing appropriate strategies can seem overwhelming as technology evolves. We will discuss current tools, best practices, and work flows that promote organization and replication of scientific data. In addition, we explore the power of git collaboration through a recently established and community driven project to create a Guide to Reproducibility for Scientific Research.

Presenter: Ciera Martinez is a Ph.D candidate at UC Davis. She is interested in exploring the evolution and development of plant morphology and enhancing open science. email: ccmartinez@ucdavis.edu

Local host: Ruben Rellan, rellan@stanford.edu

[karthik]

Looks great to me :rocket: @rellan good to circulate this?

[karthik]

Here is the new pdf

[rellan]

@karthik Looks good to me, but I would shorten the title to Data Science Using R. This series of seminars are organized from the Dept of Plant Biology and although I am trying to tend as many bridges as possible with Global Ecology, I am sure there is going to be people that will be turned down by the tittle. I would also add another line to the title to include @iamciera part. Also include location and time. So it would be something like:

Data Science Using R Reproducibility for Scientific Research June 18th, 2-5 PM Carnegie Institution, Stanford

If you are OK with that you can generate the PDF and I will distribute it around with a google form to see how many people we get interested.

[karthik]

Done. If this looks ok to to you, go ahead and circulate.