One of the first things your thesis guide will ask for is your data collection sheet. A good data sheet is not just a list of variables — it is a structured document that defines exactly how every piece of information will be recorded, ensuring consistency across all your patients.
This post explains what belongs in a medical thesis data sheet, gives you a preview of the standard fields, and offers a free downloadable template you can adapt for your study.
📥 Free Medical Thesis Data Sheet Template
Excel (.xlsx) and CSV formats — works with SPSS, R, and Stata
Download Excel Template Download CSV TemplateWhat Is a Medical Thesis Data Sheet?
A data sheet (also called a master chart or data extraction form) is the central spreadsheet where all your patient information is recorded. Each row is one patient. Each column is one variable. It becomes the direct input for your statistical software.
Unlike a case record form (which might have narrative notes and clinical sketches), the data sheet is purely structured — numbers, codes, and categories — ready for analysis.
Standard Fields in a Medical Thesis Data Sheet
Below is a preview of the fields included in our free template:
| Column Name | Data Type | Example Values | Status |
|---|---|---|---|
| Study ID | Text | TL001, TL002 | Required |
| Age (years) | Numeric | 34, 52, 67 | Required |
| Sex | Categorical | 1=Male, 2=Female | Required |
| Date of Enrollment | Date (DD/MM/YYYY) | 01/06/2025 | Required |
| Chief Complaint | Text/Code | Fever, Pain | Required |
| Duration of Illness | Numeric (days) | 5, 14, 30 | Required |
| Comorbidities | Categorical | 0=None, 1=DM, 2=HTN | Optional |
| Key Lab Value 1 | Numeric | Hb, WBC, etc. | Optional |
| Primary Outcome | Categorical | 1=Improved, 2=No change | Required |
| Follow-up Date | Date | 15/07/2025 | Optional |
| Adverse Events | Yes/No | 0=No, 1=Yes | Optional |
| Remarks | Free text | Short notes | Optional |
How to Customize This Template for Your Study
The template is designed to be a starting point, not a final product. Here is how to adapt it:
- Add study-specific variables — Insert columns after "Duration of Illness" for your unique clinical or laboratory variables.
- Define coding schemes — For every categorical variable, add a row in the "Codebook" tab defining what each number means.
- Set data validation — Use Excel's Data Validation feature to restrict each column to valid entries (e.g., Age must be a number between 0 and 120).
- Lock the header row — Freeze the top row so column names are always visible when scrolling.
- Colour-code required fields — Mark Required columns in a different colour so data entry staff never skip them.
Maintaining a Codebook Alongside Your Data Sheet
A codebook is a companion document that defines every variable in your dataset. It should list the variable name, a plain-language description, the data type, the allowed values, and any units. When you hand your dataset to a statistician, the codebook is equally important as the data itself.
Our downloadable template includes a separate Codebook tab with example entries that you can edit for your study.
Go Beyond Templates with ThesisLog
ThesisLog provides a built-in digital data entry system with pre-validated fields, codebook generation, and one-click export — so you spend less time managing spreadsheets and more time on your research.
Try ThesisLog Free →Frequently Asked Questions
How many variables should my data sheet have?
This depends on your sample size. A rough rule: you need at least 10–20 patients per variable for reliable statistical analysis. If your sample is 60 patients, keep your variable count to 5–6 meaningful ones rather than tracking 30 variables poorly.
Should I share my data sheet with my guide?
Yes — always get your data sheet approved before enrolling patients. Your guide may spot missing variables or suggest coding changes that would be very difficult to fix mid-study.