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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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data stewardship

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "data stewardship" is correct and usable in written English.
It can be used when discussing the management and oversight of data assets, ensuring their quality, integrity, and security. Example: "Effective data stewardship is essential for maintaining the trust of our clients and ensuring compliance with regulations."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

19 human-written examples

"Data stewardship should be the top priority for them".

News & Media

The New York Times

And some of them do have to do with data stewardship, data access.

News & Media

The New York Times

"It's a foundation underpinning all these, data stewardship activities [are] associated with all Destination Areas, and tie them into good data stewardship is probably ideal".

The U.S. needs leaders who will prioritize these protections, demonstrating integrity and commitment to data stewardship.

News & Media

TechCrunch

Wernikoff stressed that this process if fully consent-driven and that the company takes its data stewardship very seriously and that this process is also highly regulated.

News & Media

TechCrunch

According to the European Network and Information Security Agency (ENISA)'s, 'loss of data stewardship to the CSPs' is one of the top risks of cloud computing.

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Human-verified similar examples from authoritative sources

Similar Expressions

41 human-written examples

Services and initiatives around data infrastructure, stewardship, and management support will be important next steps for KAUST in connecting the pieces of scholarly communication.

An important role for BHMI in re-use of clinical data is "good stewardship policies, principles and practices" [ 18].

Governance tools can be used to responsibly steer the sharing of data for proper stewardship of research discovery, genomics research resources, and their clinical applications.

Our data suggest that antibiotic stewardship efforts may be more effective in reducing the spread of VRE in our hospital.

3, 4 Stewardship of data is intended not only to support concomitant research activities, but also to support the development of future analyses.

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Expert writing Tips

Best practice

Prioritize data security and privacy when implementing "data stewardship" practices to maintain trust and comply with regulations.

Common error

Avoid focusing solely on the technical aspects of "data stewardship" without considering the ethical implications of data collection, usage, and sharing.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "data stewardship" functions as a noun phrase, typically acting as the subject or object of a sentence. It denotes the responsible planning and management of data assets. Ludwig AI confirms its grammatical correctness and usability.

Expression frequency: Common

Frequent in

Science

40%

News & Media

35%

Formal & Business

25%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "data stewardship" is a grammatically sound and commonly used term, primarily in science, news, and business contexts. As Ludwig AI points out, it signifies the responsible management of data assets with a strong emphasis on ethical and regulatory compliance. When using this phrase, it's essential to define the roles and responsibilities involved and prioritize data security. Alternatives such as "data governance", "data management", and "responsible data handling" can be considered depending on the specific nuance you wish to convey.

FAQs

How to use "data stewardship" in a sentence?

"Data stewardship" involves implementing policies and practices to ensure data is accurate, secure, and used responsibly.

What is the difference between "data stewardship" and "data governance"?

"Data stewardship" focuses on the hands-on management of data, while "data governance" sets the policies and standards for how data is managed across an organization.

What are the key principles of "data stewardship"?

Key principles include accountability, transparency, data quality, security, and compliance with relevant regulations.

Why is "data stewardship" important for organizations?

"Data stewardship" ensures data is reliable, secure, and used effectively, which is crucial for informed decision-making, regulatory compliance, and maintaining stakeholder trust.

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Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: