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Get Data & Analytic Services Request Form
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How to fill out the Data & Analytic Services Request Form online
This guide provides comprehensive instructions on how to effectively complete the Data & Analytic Services Request Form online. By following these step-by-step directions, you will ensure that your submission is accurate and complete, facilitating the processing of your request.
Follow the steps to accurately complete your form.
- Press the ‘Get Form’ button to download the Data & Analytic Services Request Form and open it in your preferred document editor.
- In the ‘Principal Researcher’ section, enter your title, organization, first name, last name, department, job title or position, mailing address, city or town, province, postal code, phone number (and extension if applicable), and email address.
- Next, in the ‘Research Information’ section, provide the research title, research question(s), and a brief description of your research project.
- Indicate the type of service you are requesting by selecting one option: ‘Access to Data’ or ‘Analytics & Reporting.’ If you require importation of externally collected data, select 'Yes' and provide the necessary details.
- Specify your estimated start and end dates for the research.
- In the ‘Purpose(s) of the Research Output’ section, check all applicable purposes, such as academic publication, informing policymakers, internal report, thesis requirement, or others.
- For the ‘Funding’ section, indicate the financial resources for the research by selecting one option: pending application, funding obtained, or other.
- Finally, review your completed form to ensure all information is accurate. Save your changes, download a copy, print it, or share the form as needed.
Start your request process by completing the Data & Analytic Services Request Form online.
Data can come in the form of text, observations, figures, images, numbers, graphs, or symbols. For example, data might include individual prices, weights, addresses, ages, names, temperatures, dates, or distances. Data is a raw form of knowledge and, on its own, doesn't carry any significance or purpose.
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