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Data science focus on issues such as the description of data (metadata), curating, archiving and management of data, their publication on the internet, their usability and legal issues associated to their preservation and use. Data science is also seen as a branch of statistics and artificial intelligence trying to meet the challenges of processing large data in order to derive valuable insights hiding in the data. This poster encapsulates what we effectively do as data scientist at BADC/CEDA and presents it from the point of view of someone who is new to our work. It was produced by two 15 years old students who researched what we do by interviewing some of us during their work experience week with us
Previously curated at: http://cedadocs.ceda.ac.uk/962/ Event type: other. The publish date on this item was its original completed date. This item was not refereed before the publication Main files in this record: Data-Scientist_Poster.ppt Data-Scientist_Poster.pdf Data-Scientist_Poster.odp Item originally deposited with Centre for Environmental Data Analysis (CEDA) document repository by Eduardo D. da Costa. Transferred to CEDA document repository community on Zenodo on 2022-11-24
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| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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