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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
inCountry Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014
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 (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

28,131 concepts found, displaying 1,181 to 1,200.First5657585960616263Last
Id Label Status Status Modified Notation
CZ0213067 Sázava Quick edit Valid 2018-01-19 CZ0213067
CZ0213068 Dolní Sázava Quick edit Valid 2018-01-19 CZ0213068
CZ0213069 Sedlečský potok Quick edit Valid 2018-01-19 CZ0213069
CZ0213070 Slánsko - Byseňský potok Quick edit Valid 2018-01-19 CZ0213070
CZ0213071 Slavkov Quick edit Valid 2018-01-19 CZ0213071
CZ0213072 Smečno Quick edit Valid 2018-01-19 CZ0213072
CZ0213076 Štěpánovský potok Quick edit Valid 2018-01-19 CZ0213076
CZ0213077 Suchdolský rybník Quick edit Valid 2018-01-19 CZ0213077
CZ0213078 Trhovky Quick edit Valid 2018-01-19 CZ0213078
CZ0213081 Vápenické jezero Quick edit Valid 2018-01-19 CZ0213081
CZ0213082 Velký Raputovský rybník Quick edit Valid 2018-01-19 CZ0213082
CZ0213083 Veltrusy Quick edit Valid 2018-01-19 CZ0213083
CZ0213084 Vlčkovice - Dubský rybník Quick edit Valid 2018-01-19 CZ0213084
CZ0213086 Aglaia Quick edit Valid 2018-01-19 CZ0213086
CZ0213512 Skočová - pískovna Quick edit Valid 2018-01-19 CZ0213512
CZ0213600 Bělá pod Bezdězem - zámek Quick edit Valid 2018-01-19 CZ0213600
CZ0213601 Jungmannova škola v Berouně Quick edit Valid 2018-01-19 CZ0213601
CZ0213602 Dobříšský zámek Quick edit Valid 2018-01-19 CZ0213602
CZ0213610 Křivoklát - hrad Quick edit Valid 2018-01-19 CZ0213610
CZ0213611 Ledce - hájovna Quick edit Valid 2018-01-19 CZ0213611
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?