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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 8,101 to 8,120.First402403404405406407408409Last
Id Label Status Status Modified Notation
34UDHE Prebendal Quick edit Valid 2013-05-30 34UDHE
34UDHF Raunds Saxon Quick edit Valid 2013-05-30 34UDHF
34UDHG Raunds Windmill Quick edit Valid 2013-05-30 34UDHG
34UDHH Rushden Bates Quick edit Valid 2013-05-30 34UDHH
34UDHJ Rushden Hayden Quick edit Valid 2013-05-30 34UDHJ
34UDHK Rushden Pemberton Quick edit Valid 2013-05-30 34UDHK
34UDHL Rushden Sartoris Quick edit Valid 2013-05-30 34UDHL
34UDHM Rushden Spencer Quick edit Valid 2013-05-30 34UDHM
34UDHN Stanwick Quick edit Valid 2013-05-30 34UDHN
34UDHP Thrapston Lakes Quick edit Valid 2013-05-30 34UDHP
34UDHQ Thrapston Market Quick edit Valid 2013-05-30 34UDHQ
34UDHR Woodford Quick edit Valid 2013-05-30 34UDHR
34UEGZ All Saints Quick edit Valid 2013-05-30 34UEGZ
34UEHA Avondale Grange Quick edit Valid 2013-05-30 34UEHA
34UEHB Barton Quick edit Valid 2013-05-30 34UEHB
34UEHC Brambleside Quick edit Valid 2013-05-30 34UEHC
34UEHD Burton Latimer Quick edit Valid 2013-05-30 34UEHD
34UEHE Desborough Loatland Quick edit Valid 2013-05-30 34UEHE
34UEHF Desborough St Giles Quick edit Valid 2013-05-30 34UEHF
34UEHG Ise Lodge Quick edit Valid 2013-05-30 34UEHG
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?