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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 2,421 to 2,440.First118119120121122123124125Last
Id Label Status Status Modified Notation
DE1821304 Gieselautal Quick edit Valid 2018-01-19 DE1821304
DE1821391 Riesewohld und angrenzende Flächen Quick edit Valid 2018-01-19 DE1821391
DE1823301 Wälder der nördlichen Itzehoer Geest Quick edit Valid 2018-01-19 DE1823301
DE1823304 Haaler Au Quick edit Valid 2018-01-19 DE1823304
DE1823401 Staatsforsten Barlohe Quick edit Valid 2018-01-19 DE1823401
DE1823402 Haaler Au-Niederung Quick edit Valid 2018-01-19 DE1823402
DE1825302 Wennebeker Moor und Langwedel Quick edit Valid 2018-01-19 DE1825302
DE1826301 NSG Dosenmoor Quick edit Valid 2018-01-19 DE1826301
DE1826302 Wald am Bordesholmer See Quick edit Valid 2018-01-19 DE1826302
DE1828302 Grebiner See, Schluensee und Schmarkau Quick edit Valid 2018-01-19 DE1828302
DE1828392 Seen des mittleren Schwentinesystems und Umgebung Quick edit Valid 2018-01-19 DE1828392
DE1828491 Großer Plöner See-Gebiet Quick edit Valid 2018-01-19 DE1828491
DE1829303 Wald nördlich Malente Quick edit Valid 2018-01-19 DE1829303
DE1829304 Buchenwälder Dodau Quick edit Valid 2018-01-19 DE1829304
DE1829391 Röbeler Holz und Umgebung Quick edit Valid 2018-01-19 DE1829391
DE1830301 NSG Neustädter Binnenwasser Quick edit Valid 2018-01-19 DE1830301
DE1830302 Lachsau Quick edit Valid 2018-01-19 DE1830302
DE1830391 Gebiet der Oberen Schwentine Quick edit Valid 2018-01-19 DE1830391
DE1831302 Buchenwälder südlich Cismar Quick edit Valid 2018-01-19 DE1831302
DE1831321 Kremper Au Quick edit Valid 2018-01-19 DE1831321
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?