talks
Data source:
https://csvconf.com/
0 rows
where abstract = "Over the last few years%2C great improvements have been made around the areas of reproducible scientific computing research and FAIR %28findable%2C accessible%2C interoperable and reusable%29 data. As a consequence%2C data scientists and researchers alike have started to incorporate modern software development practices in their workflows %28i.e. version control%2C testing%29. 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%3F Data validation and integrity is just as important as the adequacy of the code ingesting and processing the datasets. %0AIn this talk%2C I will take a high-level look at concepts such as data lineage%2C provenance%2C 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." sorted by datetime
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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
)