Join us for a special Open Data Data Jamboree on 3/3/17 and Open Data Day PDX on 3/4/17!


At the March 3 Data Jamboree we will celebrate Open Data Day, learn about what quality open data means and facilitates, and work together to contribute to the Data Rescue initiative.  Open Data Day is Saturday March 4th, and we will celebrate with an all-day Open Data Day hackathon at the CLSB (register here for Saturday, the Friday March 3rd event needs to RSVP).

Datasets are disappearing. This sounds dramatic, yes, but federally funded research datasets available online in December are gone today. The systems that house open datasets online are not unified, and are often imperfect. This means that if an agency website goes down, the data linked to from that site may be gone forever.  And these types of issues are not exclusive to government agency data sets.  Data users, developers, scientists, and librarians are concerned about the persistence, discoverability, and reusability of open datasets.

Dr. Melissa Haendel, associate professor in the OHSU Library and DMICE, will talk about the FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles and the need to ensure the framework emphasizes the principles of traceable, licensed, and connected data.  These qualities, she will explain and demonstrate through examples from her work and research, are fundamental to “quality open science”, as without them computability, legal reuse, and navigating the data landscape are compromised, if not impossible.

The Data Rescue project aims to identify, back up, and document critical datasets.  Danielle Robinson, a 2016 Mozilla Fellow for Science who recently defended her PhD in Neuroscience at OHSU will give a talk on the landscape of the Data Rescue effort, where the movement is now, and what we can do to ensure that the data sets we use are protected moving forward.

Dr. Handel’s and Danielle Robinson’s talks will be followed by two concurrent hands-on workshops wherein attendees will learn skills for directly contributing the Open Data Day Data Rescue event on Saturday March 4, and best practices and techniques for managing data more generally:

Metadata Workshop::
Attendees will learn how to create a machine readable data.json files for the Data Rescue effort and why these files are critical for data archiving and discovery.  You’ll also have an opportunity to try some tools for exploring json files in the command line. This workshop is suitable for all knowledge levels.

Web Scraping and Archiving Workshop:
Join us in diving into a couple dataset examples from that require custom web scraping scripts in order to extract and backup the underlying research data. You will learn different intermediate to advanced scraping techniques, and how to adopt your own dataset for archiving.

Everyone is Welcome!

March 3, 2017
2:30 – 5:30 PM
Collaborative Life Sciences Building (CLSB), 3A001
Food & Drink provided

ODDlogoYour are also invited to attend Open Data Day PDX 2017 on Saturday, March 4.  In addition to general open data projects, Open Data Day Portland is co-organized with Data Rescue Portland and will be focusing on contributing to backup efforts for #DataRefuge as well as Bring your open data project, collaborate with your colleagues, or join our Data Refuge team! RSVP is required – register here.




March 34, 2017
9:00 AM – 4:00 PM
Collaborative Life Sciences Building (CLSB)
Lunch will be provided (there’s also an Elephant’s Deli and a Starbucks in the building)
This Data Jamboree is presented by OHSU Computational Biology, the OHSU Library, BioDSP, and the CLSU.
Open Data Day PDX is hosted by Mozilla Science Lab, the OHSU Library, and Code for Science and Society.

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