This is a repository for the Human Face of Big Data project from DCIC, iSchool, UMD.

Any technical documents that students learned and implmented can be placed here as markdown (.md) files. Markdown syntax are avaible at https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet

QGIS files and shape files for target cities are available here. Some big files need to be downloaded from the UMD Box for the project.

Any web-related materials such as PHP, Javascript, and SQL files are here. This folder will be directly used on the server in the future.

Vagrant and Ansible are a good solution to maintain each member's local development environment consistent. It is not required to use Vagrant, but it is highly recommended in the development process. Configuration files and scripts will be placed here in the future.

Data files and resources are not publically available, but will be open to project participants. If you need access to any of the resources, contact Myeong Lee at [email protected].

Raw data, scanned documents, and supporting PPT files are available at UMD Box and Dropbox.

We have a Google doc folder to share online documents. A kick-off meeting slide and a design document are available at the Google Doc folder.

We are maintaining a dedicated blot for the Human Face of Big Data project. Feel free to share your experience and new findings on the blog. http://dcicblog.umd.edu/human-face-of-big-data/

Slack is a team-based chattinng tool. We will use a Slack channel for quick communications.

• Shiyun Chen ([email protected])
• Alicia Galler ([email protected])
• Rajesh Gnanasekaran ([email protected])
• Hardik Jhaveri ([email protected])
• Edel Spencer ([email protected])
• Will Thomas ([email protected])
• David Yuheng Zhang ([email protected])
• Myeong Lee (Project Manager)
• Dr. Victoria Lemieux (Affiliated Faculty)
• Dr. Richard Marciano (Director of DCIC)