Where data science meets research data management and sharing: Practical approaches for better data science

Preparing responsibly open and accessible research data starts at the beginning of a project and continues through its completion. 

In this presentation, Research Data Initiatives Librarian Matthew Harp, will provide standard practices and recommendations from planning to publishing that support transparent, open and reproducible research.

New to ASU? We can help! The ASU Library has resources for you.

ASU students are invited to join us for a walking tour of Hayden Library, located in the heart of ASU’s Tempe campus. Experience Hayden Library's revamped five-story tower featuring interdisciplinary learning labs, community-driven book collections, two reading rooms, and research services designed for ASU students.

Join us for a walking tour of Hayden Library, in the heart of Arizona State University’s Tempe campus! Originally built in 1966, Hayden Library has been reimagined for the 21st century, with an eye toward maximum accessibility, engagement, and support for the university’s growing student population.

Experience the revamped five-story tower featuring interdisciplinary learning labs, community-driven book collections, two reading rooms, and research services designed for the ASU community.

Are you interested in an archivist position at the ASU Library?

ASU Library is recruiting three archivists as part of a cohort within the Community-Driven Archives (CDA) Initiative. Early career professionals are encouraged to apply. Application deadline is July 26, 2024.

The Unit for Data Science and Analytics at ASU Library is thrilled to call for applications for a three-day workshop on text analysis designed for researchers and professionals looking to integrate text analysis techniques and data to their projects. From June 26 to June 28 participants will be introduced to the essentials of text analysis, starting with a quick overview and comparison with Natural Language Processing, NLP.

June 26: Basics of Text Analysis

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