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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 26,841 to 26,860.First1,3391,3401,3411,3421,3431,3441,3451,346Last
Id Label Status Status Modified Notation
SKUEV0309 Poprad Quick edit Valid 2018-01-19 SKUEV0309
SKUEV0310 Kralovoholske Tatry Quick edit Valid 2018-01-19 SKUEV0310
SKUEV0311 Kacenky Quick edit Valid 2018-01-19 SKUEV0311
SKUEV0312 Devinske aluvium Moravy Quick edit Valid 2018-01-19 SKUEV0312
SKUEV0313 Devinske jazero Quick edit Valid 2018-01-19 SKUEV0313
SKUEV0314 Morava Quick edit Valid 2018-01-19 SKUEV0314
SKUEV0315 Skalicke aluvium Moravy Quick edit Valid 2018-01-19 SKUEV0315
SKUEV0316 Sranecke piesky Quick edit Valid 2018-01-19 SKUEV0316
SKUEV0317 Rozporec Quick edit Valid 2018-01-19 SKUEV0317
SKUEV0318 Pod Bukovou Quick edit Valid 2018-01-19 SKUEV0318
SKUEV0319 Polana Quick edit Valid 2018-01-19 SKUEV0319
SKUEV0320 Sindliar Quick edit Valid 2018-01-19 SKUEV0320
SKUEV0321 Salvatorske luky Quick edit Valid 2018-01-19 SKUEV0321
SKUEV0322 Finticke svahy Quick edit Valid 2018-01-19 SKUEV0322
SKUEV0323 Demjatske kopce Quick edit Valid 2018-01-19 SKUEV0323
SKUEV0324 Radvanovske skalky Quick edit Valid 2018-01-19 SKUEV0324
SKUEV0325 Medzianske skalky Quick edit Valid 2018-01-19 SKUEV0325
SKUEV0326 Strahulka Quick edit Valid 2018-01-19 SKUEV0326
SKUEV0327 Milic Quick edit Valid 2018-01-19 SKUEV0327
SKUEV0328 Stredne Pohornadie Quick edit Valid 2018-01-19 SKUEV0328
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?