complete data repository

USAGE SUMMARY

The phrase "complete data repository" is correct and usable in written English.
It can be used to refer to a comprehensive collection of data that is organized and stored for easy access and management. Example: "Our new software solution provides a complete data repository that allows users to efficiently manage and analyze their information."

✓ Grammatically correct

Science

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

This paper presents the NCBI2RDF system, aimed at providing RDF-based access to the complete NCBI data repository.

BioMed Research International

In " NCBI2RDF: enabling full RDF-based access to NCBI databases," A. Anguita et al. introduced the NCBI2RDF system that provides users with RDF-based access to the complete NCBI data repository.

BioMed Research International

Although there are known issues in OBIS with regards to taxonomic completeness, geographical biases, and biogeographic accuracy [7], [17], it remains the most complete and comprehensive data repository in existence on the distribution of marine taxa.

Plosone

Sources of data: The MHS central data repository retains complete historical records of patient demographic data, physician data, laboratory results, and costs using the patient's unique national identification number.

Health Economics Review

Current immunization data collection processes are mainly piecemeal, eroding provider confidence in any one data repository being complete and accurate; to facilitate successful implementation of tracking functionalities, a single trusted source of up-to-date immunization data is required.

BMC Medical Informatics and Decision Making

All 134 deer were genotyped at 17 loci producing a data set that was 99% complete (data available from the Dryad Digital Repository: http://datadryad.org/resource/doi 10.5061/dryad.org/resource/doi 10.5061/dryad

Evolutionary Applications

The client record module consists of a data repository of evaluations completed for a given client, allowing users with administrative privileges to generate new evaluation masks.

BMC Geriatrics

The complete data are submitted to Gene Expression Omnibus repository (in process).

Archives of Dermatological Research

Once completed the file is uploaded to a data repository from where it can be fetched later during the service deployment procedure.

Journal of Cloud Computing

The complete expression data sets are available in online data repository ArrayExpress, under accession number E-MEXP-2643 E-MEXP-2643 E-MEXP-2643

Cell Death and Disease

The LB and HeLa complete data sets have been submitted to the ArrayExpress repository with the accession number E-MEXP-1368 E-MEXP-1368 E-MEXP-1368

Cellular Microbiology

Expert writing Tips

Best practice

When referring to a "complete data repository", ensure that you have a clear definition of what constitutes 'complete' within the context of your field or application. State the data's scope, time frame, and coverage.

Common error

Don't assume that a "complete data repository" is error-free. Completeness refers to scope, not necessarily data quality. Always validate the data's accuracy and reliability independently.

Linguistic Context

The phrase "complete data repository" functions as a noun phrase, typically serving as a subject or object in a sentence. It identifies a comprehensive collection of data, as confirmed by Ludwig.

Expression frequency: Rare

Frequent in

Science

66%

News & Media

17%

Formal & Business

0%

Less common in

Wiki

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "complete data repository" refers to a comprehensive collection of data, often used in scientific and academic contexts. Ludwig AI confirms that the phrase is grammatically correct and usable, although its usage is relatively rare. When using this phrase, it's important to define what constitutes 'complete' within the given context and to remember that completeness doesn't guarantee accuracy. Alternatives include "comprehensive data archive" and "exhaustive dataset", depending on the specific nuance you want to convey.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

comprehensive data archive

Emphasizes long-term storage and preservation.

thorough data collection

Focuses on the process of gathering data, rather than the repository itself.

full data backup

Highlights the backup aspect and the completeness of the copied data.

exhaustive data set

Stresses the breadth and depth of the data included.

total data storage

Emphasizes the overall capacity and amount of data stored.

integrated data system

Highlights the interconnectedness and functionality of the data components.

unified data platform

Stresses the centralized and standardized nature of the data.

centralized data warehouse

Emphasizes the consolidation of data from various sources into a single location.

master data management system

Focuses on the quality and consistency of the core business data.

all-inclusive data resource

Highlights the comprehensiveness and availability of the data.

FAQs

How can I use "complete data repository" in a sentence?

A "complete data repository" ensures all historical transaction records are accessible for auditing purposes, making it easier to track previous business events.

What are some alternatives to "complete data repository"?

Depending on the context, you could use alternatives like "comprehensive data archive", "exhaustive dataset", or "unified data platform".

Is it redundant to say "fully complete data repository"?

Yes, using "fully" with "complete" is generally redundant. "Complete" already implies that something is full or finished. Sticking to "complete data repository" is more concise.

What makes a data repository "complete"?

A data repository is considered "complete" when it includes all the necessary data elements within a defined scope. This scope should encompass all relevant data types, time periods, and data sources, adhering to established data governance policies.