fragmented data

USAGE SUMMARY

The phrase "fragmented data" is correct and usable in written English.
It can be used in contexts where data is incomplete, disorganized, or broken into parts, often in fields like data analysis, computer science, or information management. Example: "The analysis was challenging due to the fragmented data collected from various sources, making it difficult to draw accurate conclusions."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

53 human-written examples

"How do you compare apples and pears?" Based on the fragmented data that is available though, a few cities do stand out.

The Guardian

I knew that a digital future would involve reams of data and that businesses would have to make sense of a lot of fragmented data.

The Guardian

"[Gun] policy decisions have been made with fragmented data at best, and in a vacuum of data at worst," says Stephen Hargarten, the director of the Firearm Injury Centre.

The Economist

One option is of course to continue use all of these services in isolation but the challenge with this is that it becomes difficult to achieve economy of scale, the organisation will become fragmented, data may not be as secure and no one will know what to do when an employee leaves or changes role.

The Guardian

Moreover, it can encrypt each fragmented data or selected fragmented data.

EURASIP Journal on Wireless Communications and Networking

Y1-Y4, Maspectratrandnd their collision-induced fragmented data.

AMB Express

Human-verified similar examples from authoritative sources

Similar Expressions

7 human-written examples

Discussing bringing on board a carrier, Sweden's Telia, as a strategic investor in the Series B, Walle says the aim is not to use the telco as another data supplier but rather to work together on data accuracy via things like applying machine learning algorithms to derive better intelligence from the fragmented data-sets it needs to structure and contextualize.

TechCrunch

The voluntary nature of the HPV program and the limited data acquisition authority of the U.S. EPA under TSCA have led to a lengthy and fragmented data-gathering process, and attempts to update TSCA to address this problem have, thus far, been unsuccessful [see Supplemental Material (http://dx.doi.org/10.1289/ehp.1104666)].

Environmental Health Perspectives

The experience in Kenya can be applied to other countries that face challenges making district-level, data-informed decisions with data from fragmented information systems.

Health Research Policy and Systems

The work shows just how far one can get with the systematic analysis of fragmented phenotype data, with a cross-disciplinary approach, even so far as to make verifiable predictions for missing trait data.

eLife

Businesses with a stake in the cloud, which include newcomers like Oracle, Cisco Systems, SAP, Apple and Google, are all lobbying lawmakers to streamline the Continent's fragmented national data protection laws.

The New York Times

Expert writing Tips

Best practice

Prioritize integrating "fragmented data" sources to create a unified view, enhancing the accuracy and reliability of your insights.

Common error

Don't assume "fragmented data" represents the full picture. Acknowledge the limitations and potential biases introduced by missing or incomplete information.

Linguistic Context

The phrase "fragmented data" functions primarily as a noun phrase modified by an adjective. As Ludwig AI confirms, it describes a state where data is not whole or unified. The examples show it referring to datasets that are incomplete or exist in separate, disconnected parts.

Expression frequency: Very common

Frequent in

Science

53%

News & Media

29%

Formal & Business

10%

Less common in

Wiki

5%

Encyclopedias

0%

Social Media

0%

Ludwig's WRAP-UP

In summary, "fragmented data" refers to data that is incomplete, disorganized, or stored in separate parts, making analysis and integration challenging. As Ludwig AI verifies, the phrase is grammatically correct and commonly used across diverse fields. While its register leans towards formal, it's vital to acknowledge the limitations and potential biases when dealing with "fragmented data". Strategies like data integration and metadata management can improve data usability. Remember, alternatives like "partial data" or "incomplete data" might be more suitable depending on context. High-quality sources frequently employ this phrase, indicating its relevance in academic, news, and business domains.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

fragmentary data

Highlights the data existing only in small, broken pieces.

partial data

Focuses on the data being only a portion of the whole.

incomplete data

Emphasizes the data lacking necessary elements.

patchy data

Highlights the uneven distribution or availability of data.

disparate data

Focuses on the data being distinct and dissimilar in nature.

fractured data

Indicates that data has been broken into many pieces.

diverse data

Stresses the variety and heterogeneity within the data.

disjointed data

Emphasizes the lack of connection or coherence between data pieces.

partitioned data

Suggests data that has been divided into segments.

decentralized data

Emphasizes the lack of a central storage or control point.

FAQs

How can I effectively use "fragmented data" in research?

Start by identifying and cataloging all available data fragments. Then, use statistical methods and data integration techniques to piece together a coherent picture, acknowledging any limitations in your analysis. Always consider the potential biases introduced by the fragmented nature of the data.

What are some alternatives to the phrase "fragmented data"?

You can use alternatives like "partial data", "incomplete data", or "disparate data" depending on the specific context and the aspect you want to emphasize.

Why is dealing with "fragmented data" challenging?

Fragmented data poses challenges due to the difficulty in integrating information, potential for inconsistencies, and the increased risk of drawing inaccurate conclusions. It often requires specialized tools and techniques to analyze effectively.

What strategies can help in managing "fragmented data" effectively?

Strategies include data integration, data cleaning, robust metadata management, and using machine learning to identify patterns and relationships within the data fragments. Establishing clear data governance policies is also crucial.