46. Ambush and Guilt (02:11)

Date:
2020
Main contributors:
Ron Osgood
Summary:
Tim O'Brien tells the story of an ambush and his reflective question of guilt.

47. AMPPD Project Update (55:34)

Date:
2020-10-07
Main contributors:
Dunn, Jon, Hardesty, Juliet L., Whitaker, Maria
Summary:
Academic libraries and archives are dealing with increasing numbers of digital audio and video (AV) files, acquired through both digitization of analog collections and acquisition of born-digital AV resources. While the emergence of low-cost storage options and maturity of streaming platforms has made it easier to store and deliver AV, these collections often lack metadata needed in order to make them discoverable and usable by researchers and other users. Since late 2018, the Indiana University Libraries have been working with partners at the University of Texas at Austin, New York Public Library, and digital consultant AVP to develop an open source software platform, known as AMP (Audiovisual Metadata Platform), that leverages automated machine learning-based tools together with human expertise to build workflows to create and augment metadata for AV resources to improve discovery, rights determination, and use. We will present an update on progress of the AMP project and its successes and challenges to date, including a demonstration of the AMP system and discussion of issues in system design, workflows, and the use of open source and commercial cloud-based machine learning tools. We will also discuss results to date of testing the AMP system using collections from the Cook Music Library and University Archives at IU and from the New York Public Library. This work is generously supported by a grant to IU from the Andrew W. Mellon Foundation.

48. An Introduction to Python for Social Scientists (2:09:00)

Date:
2020-09-11
Main contributors:
Helge-Johannes Marahrens, Anne Kavalerchik
Summary:
Python has become the lead instrument for data scientists to collect, clean, and analyze data. As a general-purpose programming language, Python is flexible and well-suited to handle large datasets. This workshop is designed for social scientists, who are interested in using Python but have no idea where to start. Our goal is to “demystify” Python and to teach social scientists how to manipulate and examine data that deviate from the clean, rectangular survey format. This workshop is intended for social scientists who are new to programming. No experience required.

49. An Introduction to the IU Digital Preservation Service Planning Project (42:04)

Date:
2020-09-16
Main contributors:
Shallcross, Mike
Summary:
The Indiana University Digital Preservation Service Planning Project, a collaborative effort involving the IU Bloomington Libraries, the IUPUI University Library, and UITS, and was launched on July 24, 2020 to address two significant needs. First, as a growing number of campus units acquire and create digital collections, there are increased opportunities for variations in practice and the duplication of resources and effort to maintain these materials. Second, while IU has successfully preserved digital collections for decades, current solutions do not always align with emerging professional best practices. The project will respond to these issues by documenting functional and technical requirements appropriate to the IU community as well as exploring funding and governance models that would support a university-wide service. Upon completion of the project in January 2021, the team plans to seek approval to move forward with the implementation of their recommendations. This presentation will provide an overview of the project goals and deliverables as well as updates on current work. Attendees are encouraged to bring questions and provide feedback.