Implementing More Effective FAIR Scientific Data Management With a Lakehouse

Data powers scientific discovery and innovation. But data is only as good as its data management strategy, the key factor in ensuring data quality, accessibility, and reproducibility of results – all requirements of reliable scientific evidence. As large datasets have become more and more important and accessible to scientists across disciplines, the problems of big data in the past decade — unruly, untamed, uncontrolled, and unreproducible data workflows — have become increasingly relevant to scientific organizations. This led to industry experts to develop a framework for “good data management and stewardship,” initially introduced in a 2016 article in Nature , with “long-term care of …

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2021-09-07 18:46:59