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To create a new PCAT account, please click on the “register for new account” button at: http://pcat.qdap.net/

You can manage your account either by selecting “Account Management” on the dashboard page, or by using the “Account” drop-down menu located in the list of options across the top of the page. From either place you can change your password or update your other account information; you also can update your account information by clicking on your username in the upper right-hand corner of the screen.
After you have created your PCAT account, if at any time you forget your password, you can reset it by clicking on the “Forgot Your Password?” button underneath the Log In fields on the PCAT home page. You will be asked to provide your username and its associated e-mail address. You will receive immediately receive a newly-created password.
You can change your password by selecting “Account Management” on the Dashboard or under the “Account” drop-down menu.
We periodically announce trainings, new feature roll-outs, and other system news. You can opt-out of these e-mails by selecting “Update Account Information” under the “Account” drop-down menu. On the “User Preferences Tab” click on the check box by the statement “Opt-out of system news e-mails?”.
Why would I use this system? | Where do I get FDMS bulk downloads? | Does PCAT identify duplicates? | What is QDAP?
© 2009 - 2010 Qualitative Data Analysis Program (QDAP), in the University Center for Social and Urban Research, at the University of Pittsburgh, and
QDAP-UMass, in the College of Social and Behavioral Sciences, at the University of Massachusetts Amherst. As of 2010, PCAT and this PCAT Help Wiki are maintained and improved by personnel from Texifter, LLC, which is a software start-up located in North Amherst & Springfield, MA and online at http://texifter.com.
Content on this website was made possible with the following grants from the National Science Foundation: III-0705566 “Collaborative Research III-COR: From a Pile of Documents to a Collection of Information: A Framework for Multi-Dimensional Text Analysis” and IIS-0429293 “Collaborative Research: Language Processing Technology for Electronic Rulemaking.” We are also grateful for financial support from the U.S. Environmental Protection Agency and the U.S. Fish & Wildlife Service. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect those of the National Science Foundation.
Home | Accounts | Credentials | Peers | Projects | Upload | De-duplicate | Cluster | View | Browse | Search | Buckets | Datasets | Assign | Notifications | Toolbox | Code | Bookmarks | Validate | Report | FAQ | Contact