Web Resources from MDLS 15

The symposium wrap up was facilitated by Jamene Brooks-Kieffer (Kansas), who recapped each session and the overall themes of the event. She utilized a garden metaphor to explain that all data services exist in different landscapes and that not every idea will transplant into every library/garden. Brooks-Kieffer then directed participants through a free-writing exercise about taking one idea to transplant to their libaries, ending with participants partnering up to help each other be accountable to transplanting this symposium idea after the event. This is a list of some of the web resources mentioned during the wrap up session

Data Visualization 101

This workshop covers how to choose the right chart type for your data and how good design choices will make your chart easier to understand. The workshop focuses on visualization best practices, independent of any specific visualization software, and consists of lecture and hands on activities

MDLS15 participants list

List of MDLS15 participant

Web Resources Mentioned During Workshop

The workshop showcased MDLS participants\u27 favorite teaching technique. 35 speakers had 2 minutes and 1-2 slides each to highlight a teaching method. This is a list of some of the web resources mentioned during the workshop

Data Management Practices in Academic Library Learning Analytics: A Critical Review

Introduction: Data handling in library learning analytics plays a pivotal role in protecting patron privacy, yet the landscape of data management by librarians is poorly understood. Methods: This critical review examines data-handling practices from 54 learning analytics studies in academic libraries and compares them against the NISO Consensus Principles on User’s Digital Privacy in Library, Publisher, and Software-Provider Systems and data management best practices. Results: A number of the published research projects demonstrate inadequate data protection practices including incomplete anonymization, prolonged data retention, collection of a broad scope of sensitive information, lack of informed consent, and sharing of patron-identified information. Discussion: As with researchers more generally, libraries should improve their data management practices. No studies aligned with the NISO Principles in all evaluated areas, but several studies provide specific exemplars of good practice. Conclusion: Libraries can better protect patron privacy by improving data management practices in learning analytics research

Project Close-Out Checklist for Research Data

The close-out checklist describes a range of activities for helping ensure that research data are properly managed at the end of a project or at researcher departure. Activities include: making stewardship decisions, preparing files for archiving, sharing data, and setting aside important files in a "FINAL" folder. Two versions of the checklist are available: a Caltech Library branded version and a generic editable version

Junior Recital: Elizabeth Briney, Flute

Kemp Recital Hall March 31, 2019 Sunday Afternoon 1:30p.m