
Plan for data collection by answering guide questions in the data module, then compare mobile-based data collection tools in the tools module to save time and resources.
Explore planning for data collection by thinking critically about what data to collect, balancing relevance and completeness, and using guiding questions to determine needed, available, and useful information.
Identify the information needed by distinguishing identifiers and subject related data, balance granularity with necessity, and gather staff insights to measure program effectiveness and learning outcomes.
Assess what information is available for data collection and why access, timing, sensitivity, and measurement challenges matter. Apply these factors to examples like infrastructure, learning levels, testing, and teaching quality.
Determine what information is useful by weighing data collection costs—computing power, time, and respondent fatigue—against its analytical value, with school data such as heights, meals, or test dates possibly unnecessary.
Develop a critical mindset about the information we collect, including identifiers and subject-related data. Conclude by prioritizing only essential, useful information, considering availability, accessibility, resources, sensitivity, and costs.
Learn to use the worksheet to plan data collection, define outcomes and measures, assign responsibilities, anticipate barriers, and develop a collaborative plan with decision makers and coordinators.
Explore trends, advantages, and benefits of mobile-based data collection, compare available options and technologies, and evaluate data partner criteria to choose the right tool for your organization.
Discover the opportunities of mobile-based data collection, including faster syncing to cloud servers, higher accuracy, real-time monitoring, richer data types, and lower costs compared to paper forms.
Explore three mobile data collection options—IVR, SMS, and smartphone apps with skip logic; IVR and SMS suit short questionnaires, apps for detailed surveys.
Plan data collection using smartphone apps by balancing devices, training, and a data partner to ensure secure, scalable, cost-effective data collection.
Explore mobile-based data collection tools, compare them to paper methods, and assess device costs, training needs, and partner value propositions for scalable, accurate data collection using IVR and smartphone apps.
Complete planning for the debt collection and gain tools to plan your data collection exercise. Explore supplementary resources and social costs blog stories; anticipate Quest topics on questionnaires and logistics.
Master the basic concepts, tools and tips you need to create a stellar data collection plan for your organization in this course. Learn how mobile-based data collection can help you save time, reduce costs and optimize resources in your next data collection exercise.
Reviews by professionals who collect data regularly:
Build a robust data collection plan to which helps you capture data about your program, monitor its performance and measure its impact!
Learn how mobile-based data collection leads to better, richer and more accurate data!
By understanding the fundamentals of data collection, such as distinguishing between the information which is needed, the information which is available and the information which is useful, you can create an effective strategy to capture the exact data point you need for administering a baseline survey, conducting a market research study, implementing development initiatives or getting feedback about your services.
With mobile-based data collection, you can capture data in various shapes and formats, such as audio, video, photo, geolocations, etc. Automatic database collation and real-time flagging reduces data entry and data loss errors, while increasing the quality and reliability of your data.
Content and Overview
Suitable for independent researchers, field managers and program officers in nonprofits, philanthropies, governments and business organizations, this online course — with the help of video based lectures, exhaustive reading resources and real-life examples from the field — will introduce you to the basics of building a data collection plan by thinking critically about the following:
These basics will cover the different kind of data points you will need, such as identifiers and subject-related information, followed by an understanding of how easy or difficult it will be to capture certain kinds of data and how to judge the utility of the information captured.
We will then move on to learning about the opportunities and benefits offered by mobile-based data collection as compared to paper-based data collection, such as better speed, higher accuracy, lower costs and lesser resources. This will be followed by diving deep into the different mobile-based data collection technologies, such as Interactive Voice Response System (IVRS), SMS or interactive SMS (iSMS) and smartphone based data collection apps, and evaluate the different advantages and disadvantages of each technology.
The last section will talk about the different considerations to keep in mind while collecting data, such as the budgetary costs, technology factors and logistics around data collection. We will also learn about things to keep in mind while choosing a data partner to aid and assist in your data collection efforts.
About SocialCops
SocialCops is a data intelligence company. Our platform brings the entire decision-making process to one place — from collecting primary data, accessing secondary data, and merging internal data to visualizing data via easy-to-use dashboards. Our data intelligence platform has powered the collection of over 250 million primary data points and aggregated over 600 data sources.
Our platform has been used in various settings. For example, we work with India's Ministry of Petroleum and Natural Gas to track 50 million beneficiaries and pinpoint the exact locations for 1,0000 new LPG centers across India that will maximize profitability and impact. We also work to optimize strategic investments with Gates Foundation and Unilever, and handle real-time monitoring and tracking by Niti Aayog, BASF, World Bank, and others.