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APPENDIX B. DATA EXTRACTION FORM First author: Year published: Country where study performed (country of first author or multi center): Source of funding for study: Extractor: DESIGN (circle): Systematic
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How to fill out data extraction form

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How to fill out a data extraction form:

01
Begin by gathering all the necessary information: Before filling out the form, make sure you have collected all the relevant data you need to extract. This may include documents, files, or any other sources of information that you want to extract data from.
02
Familiarize yourself with the form: Take a look at the data extraction form and familiarize yourself with its layout and sections. This will help you understand what information is required and where it should be inputted.
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Start with the basic details: Typically, data extraction forms require basic information such as your name, contact details, and the purpose of the extraction. Fill in these details accurately and clearly to avoid any confusion.
04
Provide specific instructions, if applicable: Depending on the purpose of the data extraction form, there may be specific instructions or requirements that you need to follow. These could include file formats, data selection criteria, or any other specifications. Make sure to read these instructions carefully and comply with them accordingly.
05
Input the data: This is the main part of the form where you will extract the data. Follow the provided fields or sections and input the data accurately. Make sure to double-check your inputs before moving on to the next section.
06
Attach supporting documents, if required: Some data extraction forms may require you to attach supporting documents or files along with the filled form. If this is the case, ensure that you have the necessary files ready and attach them as instructed.
07
Review and proofread: Once you have filled out all the required sections, take a moment to review your inputs. Make sure that all the information is correct, complete, and relevant. Proofread for any typographical errors or inconsistencies.
08
Submit the form: Finally, submit the filled data extraction form as per the specified method. This could be through an online submission, email, or any other designated process. Ensure that you have followed all the submission guidelines and requirements.

Who needs a data extraction form:

01
Researchers: Data extraction forms are commonly used by researchers to gather and analyze data from various sources. It allows them to systematically extract and organize relevant information for their studies or projects.
02
Data analysts: Data extraction forms are also crucial for data analysts who require accurate and complete data for their analysis. It helps them extract the necessary information efficiently and in a structured manner.
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Business professionals: In the business world, data extraction forms are often used to collect data for market research, customer surveys, or internal reporting purposes. These forms enable business professionals to gather valuable insights and make data-driven decisions.
In conclusion, filling out a data extraction form involves gathering information, familiarizing yourself with the form, inputting data accurately, and following any specific instructions. These forms are utilized by researchers, data analysts, and business professionals who need to collect and analyze data for various purposes.
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Data extraction form is a document used to gather specific information or data from a source in a structured manner.
Any individual or organization that needs to collect data from a particular source is required to file a data extraction form.
To fill out a data extraction form, one must provide the requested information in the designated fields or sections of the form.
The purpose of a data extraction form is to streamline the process of collecting and organizing data from a specific source.
The information required on a data extraction form may vary depending on the specific needs of the requester, but typically includes details such as name, date, and specific data points.
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