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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

6,250 concepts found, displaying 401 to 420.First1718192021222324Last
Id Label Status Status Modified Notation
530638 Soběhrdy Quick edit Valid 2013-05-30 530638
530646 Hurtova Lhota Quick edit Valid 2013-05-30 530646
530654 Vysoká Quick edit Valid 2013-05-30 530654
530662 Ždírec Quick edit Valid 2013-05-30 530662
530671 Pšánky Quick edit Valid 2013-05-30 530671
530689 Struhařov Quick edit Valid 2013-05-30 530689
530697 Úherčice Quick edit Valid 2013-05-30 530697
530701 Střezimíř Quick edit Valid 2013-05-30 530701
530719 Studený Quick edit Valid 2013-05-30 530719
530727 Brníčko Quick edit Valid 2013-05-30 530727
530735 Staré Hrady Quick edit Valid 2013-05-30 530735
530743 Bílkovice Quick edit Valid 2013-05-30 530743
530751 Tehov Quick edit Valid 2013-05-30 530751
530760 Teplýšovice Quick edit Valid 2013-05-30 530760
530778 Tichonice Quick edit Valid 2013-05-30 530778
530786 Říkov Quick edit Valid 2013-05-30 530786
530794 Trnávka Quick edit Valid 2013-05-30 530794
530808 Královec Quick edit Valid 2013-05-30 530808
530816 Trhový Štěpánov Quick edit Valid 2013-05-30 530816
530824 Velenov Quick edit Valid 2013-05-30 530824
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?