MIT: Independent Activities Period: IAP

IAP 2013



Open Data at MIT - A Conversation About The Tools, The Community, and The Potential

Sands Fish, Senior Software Engineer / Data Scientist, Sean Thomas, Program Manager, Scholarly Repository Services

Enrollment: Please sign up for each session separately via the links in the description
Sign-up by 01/24
Attendance: Participants welcome at individual sessions

From locations, to events, to students, to books. From labs, to research data-sets, to theses, to hacks.  MIT has massive amounts of data, but where is it all, and how can we use it to maximum value?  Better yet, how can we integrate it to make our own data more powerful?  What becomes possible in a linked open data ecosystem?  How can data power a Digital MIT? 

This two-part IAP session will discuss open data resources and APIs, tools that can be used to gather, clean, and manipulate your own data, local barriers to opening data-sets, as well as building a community of practitioners and empowering data owners on campus to make more of what they have.

Please register for Session 1 and/or Session 2.

Sponsor(s): Libraries
Contact: Sands Fish, E25-131, 617 253-2048, SANDS@MIT.EDU


Open Data: Presentation & Discussion

Jan/10 Thu 01:30PM-03:00PM 14N-132, DIRC

We will present a number of tools and technologies being used to open, process, and visualize data, discuss the MIT Libraries as a data-rich environment, and explore the possibilities of integrated data across MIT.  Additionally, we will have a conversation about the data that attendees hold, what they would like to do with it, and how we can work together across organizational boundaries to form a graph of data.

Sands Fish - Senior Software Engineer / Data Scientist, Sean Thomas - Program Manager, Scholarly Repository Services


Open Data: Hack-a-thon

Jan/24 Thu 03:00PM-05:00PM 14N-132, DIRC, Bring your data & laptop to work with if available

Data Hack-a-thon!  Gather and present your data for brainstorming and hacking, or just join the discussion with others about what is possible with theirs.  Extract or transform your data, or work on opening it up to the community.  We hope to make this a forum for learning about and sharing other data projects on campus.

Sands Fish - Senior Software Engineer / Data Scientist, Sean Thomas - Program Manager, Scholarly Repository Services