Question: Step 1: Your data dictionary is to be created as if you are either working in a Cancer/Tumor Registry. What types of data would you

Step 1: Your data dictionary is to be created as if you are either working in a Cancer/Tumor Registry. What types of data would you need to collect in one of these two registries? You will want to conduct some research for background information on Cancer/Tumor Registry to get a clearer picture of what is done. Good places to start for Cancer/Tumor Registry include the National Cancer Registrars Association (NCRA) website and also looking up the Facility Oncology Registry Data Standards (FORDS).

Step 2: Time to start creating your data dictionary. Using either Microsoft Excel or Microsoft Word to format your Table: You will create a Table that is formatted with gridlines to separate your columns and rows Your Table will need 6 columns (going across) labeled as:

Your Table needs a minimum of 15 data sets, so you need 16 rows (you can have up to a maximum of 20 data sets) **NOTE: The first row is the name of each field/element as reflected in the YouTube Video examples. Your Table needs a minimum of 15 data sets, so you need 16 rows (you can have up to a maximum of 20 data sets) **NOTE: The first row is the name of each field/element as reflected in the YouTube Video examples.

  • Your Table needs a minimum of 15 data sets, so you need 16 rows (you can have up to a maximum of 20 data sets) **NOTE: The first row is the name of each field/element as reflected in the YouTube Video examples.

Step 3: Items need for Table:

Data that you will collect (Field Name) in column 1 for each row

Define the size of each data in column 2 for each row

Define the data type for each in column 3 for each row

Define the data format for each in column 4 for each row

Define the description/definition for each data element in column 5 for each row

Provide an example of data you would collect on a patient for your chosen registry in column 6 for each row

Step 4: Add color to your Table to make your Data Dictionary unique. Step 5: Make sure your name is somewhere above or below your Table Step 6: Save your Excel Spreadsheet or Microsoft Word document

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