Lisa Ehrlinger on Muck Rack

Lisa Ehrlinger

As seen in: CDO Magazine
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Lisa

Contact Lisa, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Computer Science > Databases

|
By Thomas Hutter, Lisa Ehrlinger, Wolfram Wöß
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (699) Issue with article?

[2507.22305] Is SHACL Suitable for Data Quality Assessment?

|
By Carolina Gainza Cortés, Lisa Ehrlinger, Lorena Etcheverry, Felix Naumann
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (326) Issue with article?

Data Quality Assessment: Challenges and Opportunities

|
By Lisa Ehrlinger, Hazar Harmouch, Felix Naumann, Divesh Srivastava
| arxiv.org
[Submitted on 1 Mar 2024 ( v1 ), last revised 6 Dec 2024 (this version, v2)] Title:Data Quality Assessment: Challenges and Opportunities View a PDF of the paper titled Data Quality Assessment: Challenges and Opportunities, by Sedir Mohammed and Lisa Ehrlinger and Hazar Harmouch and Felix Naumann and Divesh Srivastava View PDF HTML (experimental) Abstract:Data-oriented applications, their users, and even the law require data of high quality.
Open in Who Shared Issue with article?
See all 5 articles
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified