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Eionet
Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
skos:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

10,310 concepts found, displaying 6,521 to 6,540.First323324325326327328329330Last
Id Label Status Status Modified Notation
23UFHC Painswick Quick edit Valid 2013-05-30 23UFHC
23UFHD Rodborough Quick edit Valid 2013-05-30 23UFHD
23UFHE Severn Quick edit Valid 2013-05-30 23UFHE
23UFHF Slade Quick edit Valid 2013-05-30 23UFHF
23UFHG Stonehouse Quick edit Valid 2013-05-30 23UFHG
23UFHH The Stanleys Quick edit Valid 2013-05-30 23UFHH
23UFHJ Thrupp Quick edit Valid 2013-05-30 23UFHJ
23UFHK Trinity Quick edit Valid 2013-05-30 23UFHK
23UFHL Uplands Quick edit Valid 2013-05-30 23UFHL
23UFHM Upton St Leonards Quick edit Valid 2013-05-30 23UFHM
23UFHN Vale Quick edit Valid 2013-05-30 23UFHN
23UFHP Valley Quick edit Valid 2013-05-30 23UFHP
23UFHQ Wotton-under-Edge Quick edit Valid 2013-05-30 23UFHQ
23UGGE Ashchurch with Walton Cardiff Quick edit Valid 2013-05-30 23UGGE
23UGGF Badgeworth Quick edit Valid 2013-05-30 23UGGF
23UGGG Brockworth Quick edit Valid 2013-05-30 23UGGG
23UGGH Churchdown Brookfield Quick edit Valid 2013-05-30 23UGGH
23UGGJ Churchdown St John's Quick edit Valid 2013-05-30 23UGGJ
23UGGK Cleeve Grange Quick edit Valid 2013-05-30 23UGGK
23UGGL Cleeve Hill Quick edit Valid 2013-05-30 23UGGL
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?