antarctic data a physical sciences perspective tony phillips
TRANSCRIPT
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Antarctic Data A Physical Sciences Perspective
Tony Phillips
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Our research
Understanding past climate change
Predicting future climate change
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The data we use
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Our data• We have identified the best current data sets (for us)
• We maintain our own archives of commonly-used data
• Everything is held in UK Met Office ‘PP’ format
• I maintain a web-based data catalogue
• I can provide figures, data or pointers to data
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Acquiring data
• Data discovery is not generally something that I have to deal with
• I have only used the AMD on one occasion and found it hard to use
– Relative prominence of browsing and searching
– Restricting the view to data sets available online
– Getting to the data, rather than metadata
– Prominence of relevant results when browsing
– Leads to too many apparent ‘dead ends’
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The wider physical science community
• What data sets do they generally use?
• Do they use the AMD and/or NADCs to get data?
• If not, where do they go?
• What is most important to them when they’re looking for data?
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Use of the AMD
• About half of the respondents were aware of having used the AMD
• Those who had, generally found what they were looking for and thought of the AMD as ‘similar to’ other online databases
• Limitations of spatial searching in the AMD
• Issue over awareness of the AMD?
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How do people acquire data?
• Places that researchers already use
• ‘Widely known international data centres’ for a subject area
• Asking the relevant person in the community
• Googling for the data
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What is most important?
• Knowing that where they’re searching will take them to the data, not just metadata
• Knowing that the data are:
– available online
– in a useful format (ASCII, Excel, NetCDF)
– supported by relevant metadata (format, origination, quality control)
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Simplifying access to data
• There are many sources of data, providing data in a variety of formats
• Data centres can add value by making sure the data are easily accessible in a uniform, standard format
• WDC in Boulder were praised for taking data in ‘almost any format’ and doing the work to make it usable
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Key points
• Raising awareness of the AMD
• Making the AMD easier to use for users with less experience
• Ensuring that the most generally-relevant results appear first
• Ensuring that the data are easily accessible
• Use of simple, standard data formats
• Understanding what users need is key