This Is AuburnAUrora
  1. AUrora Home
  2. Auburn University Libraries
  3. Auburn University Libraries
  4. Browsing Auburn University Libraries by Author

Browsing Auburn University Libraries by Author "Ali Krzton, alk0043@auburn.edu"

Now showing items 1-6 of 6

"Everyone wants to do the model work, not the data work": Data Cascades in High-Stakes AI 

Krzton, Ali; Krzton, Alicia; 0000-0001-9979-2471 (2022-04-13)
Those who work with data have learned the importance of provenance, documentation, standardization, context, and metadata in maintaining the quality of datasets. This was historically done to preserve their utility for ...

Piloting a Digitization Workflow for Analog Agricultural Data 

Krzton, Ali; Krzton, Alicia; 0000-0001-9979-2471 (2022-04-08)
In the summer of 2021, the head of the Department of Entomology and Plant Pathology contacted the Research Data Management Librarian seeking advice on what to do with the paper records, including original data, of two ...

Support Scholars Who Share: Combating the Mismatch between Openness Policies and Professional Rewards 

Krzton, Ali; Krzton, Alicia; 0000-0001-9979-2471 (2021-08-26)
Are institutional policies designed to advance open scholarship capable of accomplishing that end? What other consequences might they have for the practice of research? These mandates undoubtedly increase the number of ...

Supporting the Proliferation of Data-Sharing Scholars in the Research Ecosystem 

Krzton, Ali; Krzton, Alicia (2018-08-08)
Librarians champion the value of openness in scholarship and have been powerful advocates for the sharing of research data. College and university administrators have recently joined in the push for data sharing due to ...

We Are All Data Now 

Krzton, Ali; Krzton, Alicia; 0000-0001-9979-2471 (2024-01-19)
An abiding concern for the responsible use of data is nothing new for those of us among the ranks of data professionals. Whether from the perspective of research, education, commerce, or policy, careful consideration of ...

Welcome to the Machine: Ir/Responsible Use of Machine Learning in Research Recommendation Tools 

Krzton, Ali; Krzton, Alicia; 0000-0001-9979-2471 (2023-03-17)
Machine learning is changing how researchers interact with scholarly literature. While it has the potential to reveal exciting new connections between areas of study, popular commercial tools that provide recommendations ...