data remediation

USAGE SUMMARY

'data remediation' is a correct and usable phrase in written English.
It is used to refer to the process of validating and improving data sets in order to improve accuracy. For example, “Our software engineers are performing data remediation on our customer database to ensure maximum accuracy.”.

✓ Grammatically correct

TechCrunch

Nanoscale Research Letters

BMC Psychiatry

Huffington Post

Energy Procedia

Journal of Environmental Chemical Engineering

BMC Medical Education

Process Safety and Environmental Protection

Journal of Contaminant Hydrology

Journal of Cheminformatics

Asian Journal of Psychiatry

Environmental Health Perspectives

BMC Health Services Research

Database : the journal of biological databases and curation

Chemistry Central Journal

Journal of Hazardous Materials

Forbes

Open Geospatial Data, Software and Standards

Electrochimica Acta

The Guardian

International Journal of Energy and Environmental Engineering

Procedia Engineering

Expert Systems with Applications

Plosone

Environmental Management

Los Angeles Times

BMC Plant Biology

Developmental Cognitive Neuroscience

Behavioral and Brain Functions

Separation and Purification Technology

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

Operationally, there's a blockchain component for data remediation and security purposes.

TechCrunch

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

Its flagship product is the cyber-security platform CIRT 2, which integrates network and computer forensics, malware analysis, large-scale data auditing and remediation.

TechCrunch

Magnetite (Fe3O4) nanoparticles have attracted intensive interests for a wide range of fields, including magnetic fluids, immobilization of proteins, peptides and enzymes, immunoassays, drug or gene delivery magnetic resonance imaging, data storage, environmental remediation [15 25].

Nanoscale Research Letters

To date, there are no consistent data on neuropsychological remediation for subjects with BPD and only preliminary and uncontrolled communications of positive experiences have been published [ 21, 22].

BMC Psychiatry

Add to that the corporate promise of online schools, charter schools, vouchers, turnaround companies, teacher evaluations, teacher remediation, alternative certification, data collection, data storage, and data sales.

Huffington Post

The monitoring data indicate that the remediation measures were effective and have practically stopped the decline of reservoir pressure.

Energy Procedia

The data showed an efficient remediation of the phenol-laden water, indicating the potential scale-up of the proposed CWAO catalyst and impellor cum catalyst holder-assembly in this study.

Journal of Environmental Chemical Engineering

Data returned relating to remediation were less than data previously collected reporting assessment method and frequency.

BMC Medical Education

Currently, new electrolyte designs and a scaled-up EK cell operation are being planned for obtainment of data on real-soil-remediation feasibility.

Process Safety and Environmental Protection

These changes were documented by comparing data collected prior to the remediation event and eight years later.

Journal of Contaminant Hydrology

The study emphasises the important role that reactive transport modelling can play in data analyses and for enhancing remediation efficiency.

Journal of Contaminant Hydrology

Expert writing Tips

Best practice

When discussing data quality, consider using "data remediation" to specifically highlight the process of correcting and improving data for accuracy and reliability. This is particularly useful in technical and formal contexts.

Common error

Avoid using "data remediation" as a blanket term for all data-related tasks. Be specific about the type of remediation being performed, such as "data cleansing" or "data validation", depending on the specific activity.

Linguistic Context

Data remediation functions primarily as a compound noun, referring to the action or process of correcting and improving data. As shown by Ludwig, it's a term used to describe improving data quality.

Expression frequency: Rare

Frequent in

Science

38%

News & Media

31%

Formal & Business

21%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "data remediation" is a phrase used to describe the process of improving the quality and accuracy of data. As Ludwig AI confirms, this phrase is considered grammatically correct. While the term is not frequently used, it is most commonly found in technical and formal contexts, particularly in scientific literature, news articles, and business reports. Alternatives such as "data sanitation" or ""data cleaning"" can be used depending on the specific context. When using this term, ensure clarity about the specific issues being addressed and avoid using it as an overly broad term.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data sanitation

Focuses on removing or obscuring sensitive information from data.

data cleanup

A more general term for removing errors and inconsistencies in data.

data correction

Emphasizes fixing errors in data values.

data repair

Implies fixing damaged or corrupted data.

data cleansing

Focuses on improving the quality of data by identifying and correcting inaccurate records.

data scrubbing

A more intensive process of removing errors and inconsistencies.

data validation

Focuses on checking the accuracy and completeness of data.

data improvement

Highlights the act of making data better, generally

data enhancement

Refers to adding value or enriching the data

data refinement

Implies a more precise or polished version of the existing data.

FAQs

What does "data remediation" mean?

"Data remediation" refers to the process of identifying and correcting errors, inconsistencies, and inaccuracies in data sets to improve their quality and reliability.

When should I use "data remediation" instead of "data cleaning"?

While both terms relate to improving data quality, "data remediation" often implies a more structured and formal approach to fixing specific data issues, whereas "data cleaning" can be a broader term for general data improvement.

What are some common techniques used in "data remediation"?

Common techniques include data validation, data cleansing, data transformation, and "data deduplication".

In what contexts is "data remediation" typically used?

The term "data remediation" is often used in technical fields, data management, cybersecurity, and environmental sciences, but more broadly in any domain where maintaining data integrity is critical, as Ludwig AI explained.