partial data sources

USAGE SUMMARY

The phrase "partial data sources" is correct and usable in written English.
It can be used when referring to data sources that do not provide complete information or are only a subset of the total data available. Example: "In our analysis, we relied on partial data sources, which limited the comprehensiveness of our findings."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

First, while the CCR data informed the incidence of melanoma in NSW, partial data sources were relied on to develop an understanding of the incidence of NMSC.

BMC Public Health

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

While each source considered separately can already yield useful, though partial, results, record linkage among data sources can significantly improve the analysis.

Genus

While each source considered separately can already yield useful, though partial, results, record linkage among data sources with a common identifier can significantly improve the overall picture of levels and trends in mortality and health, serving as a basis for better projections/scenarios in these fields.

Genus

This analysis was limited by partial data availability and by heterogeneity in the information sources accessed.

BMC Health Services Research

Metadata version difference determination coupled with decomposition of stored queries is used as the basis for partial query recovery when the schema of data sources alters.

Journal of the American Medical Informatics Association

While recent datasets yield great insight into these interactions, individual data sources often provide only partial information regarding one aspect of the complete interaction landscape.

Duke University

Even if the system uses external data sources, it still has only a partial understanding of your interests and preferences.

TechCrunch

Even if the system uses external data sources, it still has only a partial understanding of your interests and preferences.

TechCrunch

You'll quickly note that we are working with partial data that isn't entirely clear, and comes from either sources that are sometimes too official, and sometimes not official enough.

TechCrunch

The heterogeneous biological data sources can also be integrated intelligently using partial integration, such as kernel-based data fusion.

Bioinformatics

The two data sources demonstrated 97% agreement for classification of partial versus radical nephrectomy (κ = 0.83, 95% CI 0.81 – 0.81).

BMC Health Services Research

Expert writing Tips

Best practice

When using "partial data sources", clearly acknowledge the limitations this imposes on your analysis and conclusions.

Common error

Avoid making definitive claims or broad generalizations when your analysis relies on "partial data sources". Instead, frame your findings as preliminary or suggestive.

Linguistic Context

The phrase "partial data sources" functions as a noun phrase, typically serving as the subject or object of a sentence. It identifies the origin of data and explicitly states it is not complete. Ludwig AI confirms the phrase is grammatically correct and usable.

Expression frequency: Rare

Frequent in

Science

30%

News & Media

25%

Academia

20%

Less common in

Formal & Business

15%

Encyclopedias

5%

Wiki

5%

Ludwig's WRAP-UP

In summary, "partial data sources" is a grammatically correct noun phrase used to describe situations where data is incomplete or limited. As Ludwig AI confirms, the phrase is perfectly acceptable and commonly employed across various domains. Its purpose is to transparently acknowledge data limitations in research or analysis. While relatively rare, its use signals a cautious approach to interpreting findings. When using this phrase, it's best practice to explicitly acknowledge these limitations and avoid overstating conclusions. Alternatives include "incomplete data sets" or "limited data availability".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

incomplete data sets

Replaces "sources" with "sets", emphasizing the collection of data rather than its origin.

limited data availability

Focuses on the restriction in the amount of data, rather than the source itself.

fragmentary data origins

Uses "fragmentary" to describe the incomplete nature and "origins" instead of "sources".

unintegrated data feeds

Highlights the lack of integration between different data streams, resulting in a partial view.

segmented data inputs

Emphasizes that the data inputs are divided or separated, offering a partial perspective.

piecemeal data collection

Describes a process where data is gathered gradually and in small portions, leading to incompleteness.

patchy information streams

Implies that the flow of information is uneven and contains gaps, resulting in a partial understanding.

restricted data access

Highlights the limited ability to obtain all necessary data, leading to a partial dataset.

curtailed data streams

Focuses on how data streams have been reduced or cut short, providing incomplete information.

subset of data origins

Replaces "partial" with "subset", which means a part of a larger group of data origins.

FAQs

How does using "partial data sources" affect research?

Relying on "partial data sources" can limit the scope and accuracy of research findings. It's crucial to acknowledge these limitations and interpret results cautiously.

What are some alternatives to saying "partial data sources"?

You can use alternatives like "incomplete data sets", "limited data availability", or "fragmentary data origins" depending on the specific context.

Is it acceptable to use "partial data sources" in academic writing?

Yes, it is acceptable, but it's essential to clearly state that the data is incomplete and discuss any potential biases or limitations that may arise from using "partial data sources".

How can I mitigate the risks of using "partial data sources"?

To mitigate risks, consider triangulating data from multiple sources, clearly document the limitations of the data, and avoid overgeneralizing your findings. Supplement "partial data sources" with qualitative data or expert opinions where possible.