Citizen-generated data (CGD) is data produced by people and organizations to monitor or campaign for change on the issues that affect them. These toolkits and guides from CIVICUS will equip you to run effective citizen-generated data campaigns and the different aspects of research projects.
Guide for planning an effective Citizen-Generated Data (CGD) Campaign
This guide has been developed in liaison with the Open Institute, to provide the essential steps for running a project based on Citizen Generated Data in all its guises. It provides tools, methods, resources and steps germane to data professionals, NGOs, Government institutions, community groups, private institutions and any individuals with an interest in Citizen Generated Data.
This guide has been written based on best practices and lessons learned stemming from work done by Open Institute in the Global Goals for Local Impact project and DataShift’s SDG 5 project.
The tool takes the reader through the principles of Citizen Generated Data (CGD), its components and steps, and examples of resources available to leverage on.
Conducting interviews and analysing data
The content is presented as an audio presentation that takes the user through the different elements of designing and conducting an interview, how to recruit participants, keep confidential information and utilizing the data.
The training is divided in two sections; the first serves as an introduction to interviewing, focusing on data collection methods and participant engagement. The second part looks into the do’s and don’ts of conducting interviews and utilizing the data.
The guide is part of a series of experiments to determine whether human-centered design survey approach can improve the quality, diversity and usability of data collected. The goal is to increase the agency or voice of individuals through the data survey process. There is not one survey approach to meet all needs, but this guide helps organisations select an approach to its needs.
The guide covers a series of survey approaches and the key considerations to take into account in each of them. Which of the approaches included best describe your needs?
Working With Survey Data in Excel
This toolkit is part of a larger effort by DataShift to strengthen organisational capacity to work with data in an actionable way through the Data for Action programme. It was developed to serve as a guide for organisations in thinking critically about survey data using spreadsheets. The instructions contained in this manual are designed specifically for data entry by a single user using one computer at a time nd is not intended to be applicable for large-scale data collection utilising multiple data entry personnel on multiple devices.
This toolkit has been designed to fit two purposes:
- As a quick reference for common functions and tools when working with survey data in Excel
- As a guide for beginners working with survey data and Excel for the first time
The toolkit invites the reader to think critically about data while minimising decision-making during research; it takes us through a journey that starts with data entry to data cleaning and analysis. Data visualisation and communication are also covered in this guide, that also includes data security tips and checklists, and other useful techniques for your organisation.
This is an audio training guide on how to design, prepare for and run focus group discussions.
The training is divided in 5 sessions that take you through the different phases in the design, planning and running of these discussions. Advantages, disadvantages, tips, the role of the moderator, selecting and engaging participants and a lot more are covered in this complete course prepared by the Data for Action initiative.
The guide is part of a series of experiments to determine whether human-centered design survey techniques can improve the ease, quality, diversity and usability of data collected from beneficiaries. The goal is increase the agency and voice of beneficiaries through the data survey process.
The guide briefly takes the user through the following elements:
- Defining questions
- Selecting techniques for diversity
- Closing the feedback loop
- Sample templates
For more see the Research & Archiving topic on the Commons.