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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

28,510 concepts found, displaying 3,581 to 3,600.First176177178179180181182183Last
Id Label Status Status Modified Notation
DE3544306 SPA Westlicher Düppeler Forst Quick edit Valid 2018-01-19 DE3544306
DE3545301 Grunewald Quick edit Valid 2018-01-19 DE3545301
DE3545341 SPA Grunewald Quick edit Valid 2018-01-19 DE3545341
DE3547301 Wasserwerk Friedrichshagen Quick edit Valid 2018-01-19 DE3547301
DE3547302 Teufelsseemoor Köpenick Quick edit Valid 2018-01-19 DE3547302
DE3548301 Müggelspree-Müggelsee Quick edit Valid 2018-01-19 DE3548301
DE3548302 Wilhelmshagen-Woltersdorfer Dünenzug Quick edit Valid 2018-01-19 DE3548302
DE3548305 Fledermausrevier Rüdersdorf Quick edit Valid 2018-01-19 DE3548305
DE3548341 SPA Müggelspree Quick edit Valid 2018-01-19 DE3548341
DE3549301 Löcknitztal Quick edit Valid 2018-01-19 DE3549301
DE3549303 Maxsee Quick edit Valid 2018-01-19 DE3549303
DE3551301 Matheswall, Schmielen- und Gabelsee Quick edit Valid 2018-01-19 DE3551301
DE3551302 Lietzener Mühlental Quick edit Valid 2018-01-19 DE3551302
DE3551303 Marxdorfer Maserkütten Quick edit Valid 2018-01-19 DE3551303
DE3551304 Graning Quick edit Valid 2018-01-19 DE3551304
DE3551325 Matheswall/Schmielensee Ergänzung Quick edit Deprecated 2026-05-07 DE3551325
DE3552301 Treplin-Alt Zeschdorfer Fließtal Quick edit Valid 2018-01-19 DE3552301
DE3552303 Lietzen/Döbberin Quick edit Valid 2018-01-19 DE3552303
DE3552304 Langer Grund-Kohlberg Quick edit Valid 2018-01-19 DE3552304
DE3552306 Oderhänge Mallnow Quick edit Valid 2018-01-19 DE3552306
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?