Difference between revisions of "FAIR - Interoperable"

 
(6 intermediate revisions by the same user not shown)
Line 1: Line 1:
  
{{Template:Working on}}
+
'''<span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:large;">Well formatted data that uses discipline conventions and vocabularies, for both the data itself and the metadata used to describe it</span></span>'''
  
== '''<span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:large;">Well formatted data that uses discipline conventions and vocabularies, for both the data itself and the metadata used to describe it</span></span>''' ==
+
=== <span style="font-size:medium;"><span style="font-family:Arial,Helvetica,sans-serif;">'''Using common non-proprietary data formats'''</span></span> ===
  
=== '''<span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:medium;">Using common non proprietary data formats</span></span>''' ===
+
<span style="font-size:medium;"><span style="font-family:Arial,Helvetica,sans-serif;"><span style="caret-color:#000000"><span style="color:#000000">Use common data formats for both metadata and data, avoid using proprietary formats as they are not available to everyone. What is common depends also on your specific scientific community, in climate a widely used formats is NetCDF. A lot of software, standards and conventions used in climate are designed around the NetCDF format.</span></span></span></span>
  
<span style="font-size:small;">Use common data formats for both metadata and data, avoid using proprietary formats as they won't be available for everyone. What is common depends also on your specific scientific community, in climate a widely used formats is NeTCDF, this is assumed by discipline software repository, groups who develop conventions and standards.&nbsp;also matlab files are also common but as being a proprietary format and a non self -describing one it should be avoided. www</span>
+
=== <span style="font-size:medium;"><span style="font-family:Arial,Helvetica,sans-serif;">'''Using discipline related Conventions and Controlled Vocabularies'''</span></span> ===
  
=== '''<span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:medium;">Using discipline related Conventions</span></span>''' ===
+
<span style="font-size:medium;"><span style="font-family:Arial,Helvetica,sans-serif;">Follow conventions and standards adopted by your community&nbsp;wherever possible. As climate science includes different disciplines as atmospheric science and oceanography for example, the standards you might have available might change depending on the characteristic of your study.&nbsp;</span></span>
  
&nbsp;
+
<span style="font-size:medium;"><span style="font-family:Arial,Helvetica,sans-serif;">Controlled vocabularies hold&nbsp;definitions for discipline related terms and concepts. They help&nbsp;ensuring that when data is shared its meaning is clear and explicit. In controlled vocabularies each term&nbsp;is defined by an identifier which also make the vocabularies themselved to be machine-readable.</span></span>
  
=== '''<span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:medium;">Using discipline related Vocabularies</span></span>''' ===
+
=== '''<span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:medium;">Reference quality data, metadata, code</span></span>''' ===
 +
 
 +
<span style="font-size:medium;"><span style="font-family:Arial,Helvetica,sans-serif;">A good metadata record will have references to other related records:&nbsp;published data, code, article, grants, projects, institution, researcher identifiers, etc. It is important not only to create links among different records but to clarify the relationships between them as much as possible. There are controlled vocabularies to define the possible relationship which are shared by different data services.</span></span>
 +
 
 +
----
 +
 
 +
<span style="font-size:medium;"><span style="font-family:Arial,Helvetica,sans-serif;">'''Related pages'''</span></span>
 +
 
 +
[[Conventions|<span style="font-size:medium;"><span style="font-family:Arial,Helvetica,sans-serif;">Climate science conventions and standards</span></span>]]
 +
 
 +
<span style="font-size:medium;"><span style="font-family:Arial,Helvetica,sans-serif;">[[Persistent_research_identifiers|Persistent&nbsp;research&nbsp;identifiers]]</span></span>
 +
 
 +
<span style="font-size:medium;"><span style="font-family:Arial,Helvetica,sans-serif;">[[Controlled_vocabularies|Controlled&nbsp;vocabularies]]</span></span>
  
&nbsp;
+
[[Field_of_Research_codes|<span style="font-size:medium;"><span style="font-family:Arial,Helvetica,sans-serif;">ANZSRC FoR codes</span></span>]]
  
=== '''<span style="font-family:Arial,Helvetica,sans-serif;"><span style="font-size:medium;">Reference quality data, metadata, code</span></span>''' ===
+
[[Category:Data induction]]

Latest revision as of 21:42, 27 July 2021

Well formatted data that uses discipline conventions and vocabularies, for both the data itself and the metadata used to describe it

Using common non-proprietary data formats

Use common data formats for both metadata and data, avoid using proprietary formats as they are not available to everyone. What is common depends also on your specific scientific community, in climate a widely used formats is NetCDF. A lot of software, standards and conventions used in climate are designed around the NetCDF format.

Using discipline related Conventions and Controlled Vocabularies

Follow conventions and standards adopted by your community wherever possible. As climate science includes different disciplines as atmospheric science and oceanography for example, the standards you might have available might change depending on the characteristic of your study. 

Controlled vocabularies hold definitions for discipline related terms and concepts. They help ensuring that when data is shared its meaning is clear and explicit. In controlled vocabularies each term is defined by an identifier which also make the vocabularies themselved to be machine-readable.

Reference quality data, metadata, code

A good metadata record will have references to other related records: published data, code, article, grants, projects, institution, researcher identifiers, etc. It is important not only to create links among different records but to clarify the relationships between them as much as possible. There are controlled vocabularies to define the possible relationship which are shared by different data services.


Related pages

Climate science conventions and standards

Persistent research identifiers

Controlled vocabularies

ANZSRC FoR codes