data healing

USAGE SUMMARY

The phrase "data healing" is correct and usable in written English.
It can be used in contexts related to data recovery, data correction, or improving data quality. Example: "The process of data healing involves identifying and correcting errors in the dataset to ensure accurate analysis."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

The company is offering a full suite of capabilities including multiple protocols, data reduction, data protection and automated data healing.

Forbes

Clinical and demographic data, as well as outcome data (healing, amputation, ulcer recurrence, death), were collected continuously according to a preset standardized protocol and sampled in a study database.

Diabetes Care

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

From the baseline data, the Healing Wind Advisory Group identified the need to improve knowledge of STIs, change sexual attitudes, and enhance safe condom use behaviours as targets for regional interventions.

BMC Health Services Research

A proportion of the RCT data on ulcer healing was available in IPD format (time to healing and time to censoring), with the remaining data available as AD, i.e. count data (proportion of patients healed at end of follow-up which differs across studies).

BMC Medical Research Methodology

A statistical analysis of RUT data concerning the healing time and antibiotic treatment for patients with hard-to-heal ulcers in Sweden between 2009 and 2012.

BMJ Open

Model simulation results are in agreement with in vivo wound healing data.

Chemical Engineering Science

Data on wound healing was scored up to 56 days postoperatively.

European Journal of Obstetrics & Gynecology and Reproductive Biology

A simplified viscoelastic continuum damage model was adopted to analyze experimental data obtained from healing tests consisting of continuous shear loading interrupted by single rest periods.

Construction and Building Materials

A triangulation of the following sources of data informed the Healing Model of Care described in the results: i) Focus groups; ii) Quantitative data; and iii) Qualitative data.

Health & Justice

With all the programs hiring teachers who are completely out of touch, emphasis on test scores and data rather than "healing" curriculum that targets the mental and emotional needs of our children and evaluation systems that both demoralize and devalue teachers publicly while students bear witness, public education had become a joke.

HuffPost

According to these data, a high healing rate should have been expected.

Cardiovascular Diabetology

Expert writing Tips

Best practice

When discussing database management or data integrity, use "data healing" to describe automated processes that fix inconsistencies and errors, ensuring data reliability.

Common error

Avoid using "data healing" when simpler terms like "data recovery" or "data correction" are more appropriate and widely understood within your specific context. Overusing niche terms can reduce clarity.

Linguistic Context

The phrase "data healing" functions as a noun phrase acting as a compound noun, often used to describe a process or capability related to automated data recovery or correction. Ludwig AI indicates its usability in written English.

Expression frequency: Rare

Frequent in

Science

50%

News & Media

50%

Formal & Business

0%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "data healing" is a noun phrase used to describe automated data recovery and correction processes. While grammatically correct, it is relatively rare. Ludwig highlights its suitability in data management contexts. Alternatives like "data recovery" or "data correction" may be more common, depending on the specific meaning. The term tends to appear in formal, scientific, and technical discussions.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data recovery

Focuses on retrieving lost or corrupted data.

data correction

Emphasizes fixing errors and inaccuracies in the data.

data restoration

Highlights bringing data back to its original, intact state.

data cleansing

Refers to the process of removing or correcting inaccurate or irrelevant data.

data remediation

Implies correcting or improving data quality issues.

data mending

Suggests repairing damaged or flawed data.

data improvement

Broadly covers enhancing the overall quality of data.

data refinement

Focuses on improving the precision and accuracy of data.

data sanitization

Emphasizes the secure removal of data to prevent recovery.

data rectification

Highlights the process of making data accurate or correct.

FAQs

What does "data healing" mean in the context of data management?

"Data healing" refers to processes and techniques used to automatically detect and correct errors, inconsistencies, or corruption within a dataset, ensuring data integrity and reliability.

How does "data healing" differ from "data recovery"?

"Data healing" typically involves automated or proactive correction of data errors, while "data recovery" focuses on retrieving lost or damaged data from backups or other sources after a failure or loss event.

What are some alternative terms for "data healing"?

Alternatives include "data correction", "data cleansing", and "data remediation", depending on the specific actions taken to improve data quality.

In what contexts is it appropriate to use the term "data healing"?

The term "data healing" is appropriate in technical discussions of database management, storage solutions, and software development where automated data correction is a key feature. It's also suitable in marketing materials when highlighting these capabilities.