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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 3,021 to 3,040.First148149150151152153154155Last
Id Label Status Status Modified Notation
DE2809331 Ems Quick edit Valid 2018-01-19 DE2809331
DE2811331 Barger Meer Quick edit Valid 2018-01-19 DE2811331
DE2812331 Godensholter Tief Quick edit Valid 2018-01-19 DE2812331
DE2812332 Glittenberger Moor Quick edit Valid 2018-01-19 DE2812332
DE2813331 Fintlandsmoor und Dänikhorster Moor Quick edit Valid 2018-01-19 DE2813331
DE2814331 Haaren und Wold bei Wechloy Quick edit Valid 2018-01-19 DE2814331
DE2814332 Everstenmoor Quick edit Valid 2018-01-19 DE2814332
DE2815331 Sager Meer, Ahlhorner Fischteiche und Lethe Quick edit Valid 2018-01-19 DE2815331
DE2816401 Hunteniederung Quick edit Valid 2018-01-19 DE2816401
DE2817301 Werderland Quick edit Valid 2018-01-19 DE2817301
DE2817331 Untere Delme, Hache, Ochtum und Varreler Bäke Quick edit Valid 2018-01-19 DE2817331
DE2817370 Weser zwischen Ochtummündung und Rekum Quick edit Valid 2018-01-19 DE2817370
DE2817401 Werderland Quick edit Valid 2018-01-19 DE2817401
DE2818301 Grambker Feldmarksee Quick edit Valid 2018-01-19 DE2818301
DE2818302 Zentrales Blockland Quick edit Valid 2018-01-19 DE2818302
DE2818304 Lesum Quick edit Valid 2018-01-19 DE2818304
DE2818401 Blockland Quick edit Valid 2018-01-19 DE2818401
DE2819301 Untere Wümme Quick edit Valid 2018-01-19 DE2819301
DE2819302 Kuhgrabensee Quick edit Valid 2018-01-19 DE2819302
DE2819370 Hollerland Quick edit Valid 2018-01-19 DE2819370
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?