Data Cleansing & Curation
Data quality review, outlier and missing value detection and treatment, proper variable coding, and structured organization to ensure reliable analysis.
What Results Do I Obtain by Cleaning My Data?
What is Data Cleansing and Curation?
By choosing our curation and cleaning service, you will not only receive an organized database: you will obtain a reliable tool to support your statistical analysis or scientific research.
This service includes:
Data quality assessment: detection of inconsistencies, outliers, duplicates, loading errors, or missing data.
Review and correction of codings: unification of formats, nomenclatures, and categories to ensure correct interpretation and analysis.
Clear structuring of variables into ordered columns and records, with interpretable labels, ready to import into statistical or visualization software.
Validation of the cleaned database, ensuring it is ready for subsequent statistical analysis, reducing methodological errors, and saving valuable time.
This process will allow you to have a cleaned database, compatible with any statistical software, more efficient, secure, and aligned with scientific best practice standards.
Data curation and cleansing are essential processes to ensure the quality and reliability of information. This process begins with a thorough assessment of data quality, where issues such as duplicates, outliers, formatting errors, and missing data are identified. For this evaluation, data profiling tools are used to provide an overview of the information's status.
Subsequently, data standardization and normalization are carried out. This involves establishing consistent formats and conventions, which helps to eliminate redundancies and improves storage efficiency. Data cleansing is the next phase, where incorrect, inconsistent, or irrelevant data are corrected or removed. Missing values are also imputed, and duplicate records are eliminated.
You will receive:
A structured Excel or CSV file, with variables organized in columns and records in rows, ready for analysis.
Clear and standardized headers, with a summary sheet containing the glossary of variables, descriptions, and codes used.
Explanatory notes on the procedures performed during the cleaning process (for example, how missing values were imputed, what criteria were used to remove outliers).
A supplementary report in PDF format, describing the process followed, with recommendations for subsequent analysis and suggestions for improvements if limitations are identified.
Final version and backup: the original database will be delivered along with the corrected database for greater traceability.
This service is designed so that doctors, researchers, and postgraduate students can confidently proceed to the next stage of analysis, starting from a robust, coherent, and presentation-ready database for committees, journals, or funding bodies.
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