Synopsis - FAIR Interoperable #3 - OzNome - Interoperable data as an example of Fair data principles

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Video in TIB AV-Portal: Synopsis - FAIR Interoperable #3 - OzNome - Interoperable data as an example of Fair data principles

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Title
Synopsis - FAIR Interoperable #3 - OzNome - Interoperable data as an example of Fair data principles
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CC Attribution 4.0 International:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Publisher
Release Date
2017
Language
English

Content Metadata

Subject Area
Standard deviation File format Maß <Mathematik> Number Similarity (geometry)
Standard deviation Software File format Maß <Mathematik> Similarity (geometry)
Standard deviation Term (mathematics) String (computer science) File format Data structure Maß <Mathematik> Number Similarity (geometry)
Standard deviation Pointer (computer programming) File format Maß <Mathematik> Maß <Mathematik> Similarity (geometry)
Standard deviation File format Maß <Mathematik> Similarity (geometry)
Standard deviation Standard deviation File format File format Maß <Mathematik> Similarity (geometry)
Standard deviation File format Maß <Mathematik> Field (computer science) Similarity (geometry)
Connected space Service (economics) Cache (computing) Googol Set (mathematics) Capability Maturity Model
we're considering how to make research data interoperable there's a number of concerns that we need to make sure that
we are taking care of that the data is first loadable into the software that
you've got that when it's been loaded it's usable you understand the data
structures that you're looking at that when you are looking at the data structures you can actually understand the terms and the numbers that are included in there they're not just rather strange abbreviations or strings
that the units of measure are clear we are providing here it's a graduated way of assessing how interoperable your data is with some pointers about how to make
it better in each of these concerns loadable usable and comprehensible with
the ultimate being that everything's
linked out to community based or
standard definitions schemas formats
field names so that the data is understandable and usable and
interoperable to anyone within your community so in in this talk we also
have a practical example looking at the oral data set and looking how we can make this more interoperable so we're using our own five star tool to guide us as to how to make it in tappable and then implementing it and you know showing how we can use reference definitions to make it more interoperable so before-and-after snapshot
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