Datasets Request for Research on Humanitarian Computing
To request the dataset(s) used in the following article, please fill out the below form. Once submitted, we will review your request, which may take a few days.

Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Diaz and Patrick Meier. Extracting Information Nuggets from Disaster-Related Messages in Social Media. In Proc. of the 10th International Conference on Information Systems for Crisis Response and Management (ISCRAM), May 2013, Baden-Baden, Germany.
Sign in to Google to save your progress. Learn more
Personal details:
Full name: *
Provide your full name.
Organization name: *
Provide your affiliation/organization name; must be a research institution (public or private).
Email: *
This email address will be used to communicate links of the dataset(s). Must be an e-mail address provided by your corporation/university (not gmail, etc.)
Contact person's name (e.g. this could be one of the authors of the paper) *
Please provide your contact person name.
Please specify the names of dataset(s) to be requested:
Use comma (,) to separate more than one name.
Please specify your intended use: *
Must be research on a topic of humanitarian computing.
Please acknowledge that:
You will be liable for any loss or damage in connection with this data *
IN NO EVENT SHALL QCRI OR QCRI’s AFFILIATES BE LIABLE TO THE REQUESTER OR TO THE USER OF THE DATA SUPPLIED FOR ANY SPECIAL, INCIDENTAL, PUNITIVE, INDIRECT, EXEMPLARY, OR CONSEQUENTIAL DAMAGES.THIS DATA IS PROVIDED ON AN “AS IS” BASIS AND YOUR USE OF IT IS AT YOUR SOLE RISK.YOU WILL INDEMNIFY QCRI OR QCRI's AFFILIATES FOR ANY LOSS OR DAMAGE THEY MAY SUFFER ARISING OF ANY BREACH BY YOU OF THIS AGREEMENT.
You will use the data only for research on humanitarian computing. *
You will keep the contents of these dataset(s) confidential (you can always share the tweet-ids). *
The dataset(s) will be deleted by you upon our request at any time (you can always keep the tweet-ids). *
The dataset(s) will be deleted by you upon completion of the research (you can always keep the tweet-ids). *
Unless asked by us otherwise, you will cite the following paper in derived publications. *
Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Diaz and Patrick Meier. Extracting Information Nuggets from Disaster-Related Messages in Social Media. In Proc. of the 10th International Conference on Information Systems for Crisis Response and Management (ISCRAM), May 2013, Baden-Baden, Germany.
Submit
Clear form
Never submit passwords through Google Forms.
This content is neither created nor endorsed by Google. Report Abuse - Terms of Service - Privacy Policy