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Experimental Sample Data Cleaning Task

Posted 3 months ago   |   Spreadsheet Entry   |   Budget: KShs. 500   |   Bids: 7   |   Client: Prof. Michael Sandel

Project Overview

  • Published On: 16th Feb, 2026
  • Project Type: Data-Entry
  • Project Category: Spreadsheet Entry
  • Project Due: 17th February, 2026

Required Skills

  • Microsoft Excel and Word

Project Description

Overview

To accurately review, clean, and standardize experimental sample tracking data from lab logs and instrument output files, ensuring all records are complete, consistent, and error-free for reliable tracking and analysis.

Scope of Work

Extract required information from lab logs and instrument output files

Identify and remove duplicate or redundant sample records

Correct formatting inconsistencies for sample codes, dates, storage locations, and technician names

Standardize all entries for uniform structure across the spreadsheet

Verify completeness and flag missing or unclear data

Ensure result summaries are accurate and consistently formatted

Maintain confidentiality and integrity of all laboratory information

Required Data Fields

Sample Code

Collection Date

Storage Location

Analysis Date

Technician Name

Result Summary

Instrument / Equipment Used

Sample Type

Batch / Project Reference

Data Entry Date

Deliverables

Delivery One: A Word document report summarizing the data cleaning process, issues identified, corrections made, and number of samples processed

Delivery Two: The final cleaned, standardized, and verified spreadsheet/database containing all experimental sample records

Client Materials

All lab logs and instrument output files will be provided upon hire.

Deadline

All deliverables must be submitted on or before 17th February 2026 at 10:00 PM.

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