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Link rowid ▼ title speaker time day room url datetime abstract image
28 Where Has Your Data Come From? Data Ancestry and Other Tales Dr. Tania Allard 4:00 PM May 8 2019 Fuller Hall https://csvconf.com/speakers/#dr-tania-allard 2019-05-08T16:00:00 Over the last few years, great improvements have been made around the areas of reproducible scientific computing research and FAIR (findable, accessible, interoperable and reusable) data. As a consequence, data scientists and researchers alike have started to incorporate modern software development practices in their workflows (i.e. version control, testing). More and more emphasis has been made on the need to look after the quality and validity of the software developed. But what about the data? Data validation and integrity is just as important as the adequacy of the code ingesting and processing the datasets. In this talk, I will take a high-level look at concepts such as data lineage, provenance, continuous data validation and present real-world examples in which these concepts have been applied to different real-world data pipelines increasing not only the confidence of the results obtained but also the efficiency and integrity of the workflows themselves. https://csvconf.com/img/speakers-2019/tallard.jpg
54 Annotations in the Classroom; The Classroom in Annotations Asura Enkhbayar 4:00 PM May 9 2019 Fuller Hall https://csvconf.com/speakers/#asura-enkhbayar 2019-05-09T16:00:00 In this talk I want to explore the impact of using Hypothesis in the classroom. What does it mean to read, think, and annotate publicly? How does it change your learning experience as a student? How do you evaluate and assess different annotation styles as a teacher? As a student I can share my own experience of this new mode of teaching and learning. As a data scientist, I want to give a taste of possible new metrics and measurements based on annotation data. Finally, as a critical scholar I am hoping to explore how this new metrification and monitoring of reading might affect education. The talk will rely on data outlined in this essay: https://course-journals.lib.sfu.ca/index.php/pdc2018/article/view/240/213 https://csvconf.com/img/speakers-2019/aenkhbayar.jpg

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CREATE TABLE [talks] (
   [title] TEXT,
   [speaker] TEXT,
   [time] TEXT,
   [day] TEXT,
   [room] TEXT,
   [url] TEXT,
   [datetime] TEXT,
   [abstract] TEXT,
   [image] TEXT
)
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