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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 26,701 to 26,720.First1,3321,3331,3341,3351,3361,3371,3381,339Last
Id Label Status Status Modified Notation
SKUEV0162 Grgas Quick edit Valid 2018-01-19 SKUEV0162
SKUEV0163 Rudava Quick edit Valid 2018-01-19 SKUEV0163
SKUEV0164 Revuca Quick edit Valid 2018-01-19 SKUEV0164
SKUEV0165 Kutsky les Quick edit Valid 2018-01-19 SKUEV0165
SKUEV0166 Ciglat Quick edit Valid 2018-01-19 SKUEV0166
SKUEV0167 Bezodne Quick edit Valid 2018-01-19 SKUEV0167
SKUEV0168 Horny les Quick edit Valid 2018-01-19 SKUEV0168
SKUEV0169 Orlovske vrsky Quick edit Valid 2018-01-19 SKUEV0169
SKUEV0170 Mesterova luka Quick edit Valid 2018-01-19 SKUEV0170
SKUEV0171 Zelienka Quick edit Valid 2018-01-19 SKUEV0171
SKUEV0172 Beznisko Quick edit Valid 2018-01-19 SKUEV0172
SKUEV0173 Kotlina Quick edit Valid 2018-01-19 SKUEV0173
SKUEV0174 Lindava Quick edit Valid 2018-01-19 SKUEV0174
SKUEV0175 Sedliska Quick edit Valid 2018-01-19 SKUEV0175
SKUEV0176 Dvorciansky les Quick edit Valid 2018-01-19 SKUEV0176
SKUEV0177 Smolzie Quick edit Valid 2018-01-19 SKUEV0177
SKUEV0178 V studienkach Quick edit Valid 2018-01-19 SKUEV0178
SKUEV0179 Cerveny rybnik Quick edit Valid 2018-01-19 SKUEV0179
SKUEV0180 Ludinsky haj Quick edit Valid 2018-01-19 SKUEV0180
SKUEV0182 Cicovske luhy Quick edit Valid 2018-01-19 SKUEV0182
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?