Webinar: Engaging with RDA to improve data management and sharing practices in the Humanities

Type: Webinar

Date/Time: 27  November 2017, 8:00 EST / 13:00 UTC / 14:00 CET

Presenters:

Ms Bridget Almas

The Alpheios Project, Ltd.


 

Bio: Bridget Almas is currently the lead software developer and architect for The Alpheios Project, developing open source tools for the study and enjoyment of classical languages. In her prior role at Tufts University, Bridget was the technical lead on the Perseids Project and before that the Perseus Digital Library. She has also acted in several leadership roles in the Research Data Allliance, serving as an elected member of the Technical Advisory Board of the from 2013-2015, and as co-chair of the Research Data Collections Working Group, the Data Fabric Interest Group, and as a liaison between the Alliance of Digital Humanities Organizations (ADHO) and RDA. Bridget also has a background in the study of foreign languages, including French and Mandarin Chinese.


Description:

While the shape, content and size of Humanities data may differ from that of the hard sciences, many of the core needs for ensuring this data can be preserved, shared and reused are very similar. Lack of understanding of the needs for infrastructure for data sharing, and lack of availability of such infrastructure, can lead to redundancy and inefficiency in developments supporting humanities data creation and use.  Common, shared solutions for humanities and science data can also spark new research into cross-disciplinary connections that have previously gone unexplored or unexposed. 

In this webinar, Bridget will present on her experiences within the RDA community and how these have helped inform her understanding of the data management needs of the digital humanities projects on which she has worked. She will also demonstrate how the set of RDA outputs supporting PID-centric data management, the PIT API, the Data Types Registry, the PID Kernel and the Collections API, can be applied to specific humanities use cases involving linguistic and textual annotations.

 

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