Free

Code Ocean: Preparing your manuscript, data and code for publication

Event Information

Share this event

Date and Time

Location

Location

Class of 62, John Morgan

University of Pennsylvania

3620 Hamilton Walk

Philadelphia, PA 19104

View Map

Event description

Description

The event is split into two parts: 12:00PM-1:00PM seminar and 1:00PM-2:00PM will be hands on workshop

We encourage you to bring your laptops and stay for the hands on workshop. If you need help to execute your code or get it published, bring your code with you. Codeocean will help you do that.

It is a great opportunity to learn and we hope that you all will support the event with your participation.

Please see below for the event description.

Key bullets & takeaways:

- Understand empirical and computational reproducibility

- How you can prepare your work to be reproducible, replicable and reusable for other researchers.

- Learn how to share your executable code online. Bring your laptop (and your code if you wish to upload and run) to follow along during a hands-on demo.

- Food will be provided!

Full description:
Creating research that is reproducible -- empirically, statistically, and computationally -- is challenging, and doing so is increasingly a condition for publishing in journals. Fortunately, modern tools make the process significantly easier than it was even five years ago. Join us today for a talk by Daniel Evanko of American Association for Cancer Research and Seth Green of Code Ocean on “Preparing your manuscript, code, and data for publication.”

Dr. Evanko will present from the publisher’s side, drawing on his experience working in scientific publishing since 2004, when he left the lab bench and joined Nature Methods as an editor before the journal published its first issue. He will discuss empirical/methodological reproducibility, the nuts and bolts of describing your work in sufficient detail that another researcher can clearly interpret and, ideally, replicate it.

Seth will present some techniques for preparing code for reproducibility, a criterion that is specifically assessed by certain journals and is likely to become increasingly common over the next few years. He will demonstrate these techniques through the use of Code Ocean, an online computational reproducibility platform, but the ideas will generalize across platforms and languages. The desired end-goal is research that is computationally reproducible with a single click.

Speakers:

Daniel Evanko
Director, Journal Operations and Systems, AACR

Seth Green
Developer Advocate, Code Ocean

Share with friends

Date and Time

Location

Class of 62, John Morgan

University of Pennsylvania

3620 Hamilton Walk

Philadelphia, PA 19104

View Map

Save This Event

Event Saved