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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

2,928 concepts found, displaying 1,901 to 1,920.First9293949596979899Last
Id Label Status Status Modified Notation
522953 Porúbka Quick edit Valid 2013-05-30 522953
522961 Pozdišovce Quick edit Valid 2013-05-30 522961
522970 Priekopa Quick edit Valid 2013-05-30 522970
522988 Pusté Čemerné Quick edit Valid 2013-05-30 522988
522996 Rakovec nad Ondavou Quick edit Valid 2013-05-30 522996
523003 Remetské Hámre Quick edit Valid 2013-05-30 523003
523011 Ruská Bystrá Quick edit Valid 2013-05-30 523011
523020 Ruskovce Quick edit Valid 2013-05-30 523020
523038 Ruský Hrabovec Quick edit Valid 2013-05-30 523038
523046 Sejkov Quick edit Valid 2013-05-30 523046
523054 Senné Quick edit Valid 2013-05-30 523054
523062 Slavkovce Quick edit Valid 2013-05-30 523062
523071 Sliepkovce Quick edit Valid 2013-05-30 523071
523089 Sobrance Quick edit Valid 2013-05-30 523089
523097 Staré Quick edit Valid 2013-05-30 523097
523101 Strážske Quick edit Valid 2013-05-30 523101
523119 Stretava Quick edit Valid 2013-05-30 523119
523127 Stretavka Quick edit Valid 2013-05-30 523127
523135 Suché Quick edit Valid 2013-05-30 523135
523143 Svätuš Quick edit Valid 2013-05-30 523143
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?