Jump to: Demo videos and user guides  -   Try it out  -   CatchIT-Schools  -   Meet the team

About us:

Welcome to CatchIT! We are a one-stop shop for data management and analysis for community pest control projects. We can store and organise your data from trap-lines, bait-lines, and tracking tunnels, and we provide a suite of maps, graphics, and analyses to display your results.

CatchIT is suitable for community projects, conservation management, and scientific research. There is no charge or fee. It is coordinated by Rachel Fewster of the University of Auckland.

Demo Videos and User Guides: updated!

Here are demos and user guides for our brand new version of CatchIT, released in January 2022.

• Quick start guide: entering Trapline data.


• Quick start guide: entering Bait Station data.

Demo videos for using CatchIT:

Watch these short demo movies to get the most out of CatchIT.

• Using CatchIT - an overview: watch


• Entering trap data: watch


• Entering bait data: watch


• Using a mobile phone to enter data - either online or offline: watch


• Changing your personal settings: watch

Demo videos for Project Administrators:

• Adding new people: watch


• Creating a new area: watch


• Setting user permissions: watch

Our Privacy Statement:

• CatchIT Privacy Statement

Try it out:

To try out the system, please contact Rachel Fewster to obtain a username and password.

Then go here to log in:

• CatchIT online.

CatchIT-Schools:

CatchIT-Schools is an educational programme for primary-school children to learn about science and data analysis in a hands-on conservation setting. The programme is featured in the NZ government's Environmental Education for Sustainability Strategy (p.22) and won the Education category in the inaugural Auckland Mayoral Conservation Awards 2018.

Meet the team:

CatchIT has been coordinated by Rachel Fewster since 2011, with software developers Giles Turner and Sunil Patel, and input from Rishika Chopara, Rosemary Barraclough, Sophie Kincaid, Oliver Stevenson, Brad Drayton, Mac Townsend, and Daniel van Vorsselen. Thanks also to Auckland University IT staff Rafal Szkup, Andrew Bevin, Prasanna Subramanian, and Matiu Carr for technical support.

Funders:

The project has been funded since 2011 by:

• The University of Auckland
• The Royal Society of New Zealand
• Ministry of Business, Innovation, and Employment
• Terrestrial and Freshwater Biodiversity Information Systems Programme fund
• WWF and The Tindall Foundation
• BeSTGRID