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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 3,141 to 3,160.First154155156157158159160161Last
Id Label Status Status Modified Notation
DE2933301 Werder Kietz Quick edit Valid 2018-01-19 DE2933301
DE2933401 Lucie Quick edit Valid 2018-01-19 DE2933401
DE2934301 Nemitzer Heide Quick edit Valid 2018-01-19 DE2934301
DE2934302 Lenzen-Wustrower Elbniederung Quick edit Valid 2018-01-19 DE2934302
DE2934303 Elbaue Wootz Quick edit Valid 2018-01-19 DE2934303
DE2934304 Werder Mödlich Quick edit Valid 2018-01-19 DE2934304
DE2934305 Werder Mödlich Ergänzung Quick edit Valid 2018-01-19 DE2934305
DE2935301 Aland-Elbe-Niederung nördlich Seehausen Quick edit Valid 2018-01-19 DE2935301
DE2935303 Gandower Schweineweide Quick edit Valid 2018-01-19 DE2935303
DE2935304 Elbdeichvorland Jagel Quick edit Valid 2018-01-19 DE2935304
DE2935305 Gadow Quick edit Valid 2018-01-19 DE2935305
DE2935306 Elbe Quick edit Valid 2018-01-19 DE2935306
DE2935401 Aland-Elbe-Niederung Quick edit Valid 2018-01-19 DE2935401
DE2936301 Perleberger Schießplatz Quick edit Valid 2018-01-19 DE2936301
DE2936302 Silge Quick edit Valid 2018-01-19 DE2936302
DE2937301 Mendeluch Quick edit Valid 2018-01-19 DE2937301
DE2937302 Mörickeluch Quick edit Valid 2018-01-19 DE2937302
DE2937303 Untere Stepenitzniederung und Jeetzbach Quick edit Valid 2018-01-19 DE2937303
DE2937304 Weißer Berg bei Spiegelhagen Quick edit Valid 2018-01-19 DE2937304
DE2938301 Cederbach Quick edit Valid 2018-01-19 DE2938301
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?