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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

28,510 concepts found, displaying 3,541 to 3,560.First174175176177178179180181Last
Id Label Status Status Modified Notation
DE3518331 Feuchtwiese bei Diepenau Quick edit Valid 2018-01-19 DE3518331
DE3519401 Vogelschutzgebiet 'Weseraue' Quick edit Valid 2018-01-19 DE3519401
DE3520331 Sündern bei Loccum Quick edit Valid 2018-01-19 DE3520331
DE3520332 Schaumburger Wald Quick edit Valid 2018-01-19 DE3520332
DE3520431 Schaumburger Wald Quick edit Valid 2018-01-19 DE3520431
DE3521401 Steinhuder Meer Quick edit Valid 2018-01-19 DE3521401
DE3522331 Feuchtgebiet 'Am Weißen Damm' Quick edit Valid 2018-01-19 DE3522331
DE3525331 Altwarmbüchener Moor Quick edit Valid 2018-01-19 DE3525331
DE3526331 Fuhse-Auwald bei Uetze (Herrschaft) Quick edit Valid 2018-01-19 DE3526331
DE3527332 Kammmolch-Biotop Plockhorst Quick edit Valid 2018-01-19 DE3527332
DE3528301 Fahle Heide, Gifhorner Heide Quick edit Valid 2018-01-19 DE3528301
DE3528331 Maaßel Quick edit Valid 2018-01-19 DE3528331
DE3530401 Barnbruch Quick edit Valid 2018-01-19 DE3530401
DE3531301 Stauberg nördlich Oebisfelde Quick edit Valid 2018-01-19 DE3531301
DE3532301 Grabensystem Drömling Quick edit Valid 2018-01-19 DE3532301
DE3532401 Vogelschutzgebiet Drömling Quick edit Valid 2018-01-19 DE3532401
DE3533301 Drömling Quick edit Valid 2018-01-19 DE3533301
DE3535301 Colbitz-Letzlinger Heide Quick edit Valid 2018-01-19 DE3535301
DE3536301 Mahlpfuhler Fenn Quick edit Valid 2018-01-19 DE3536301
DE3536302 Tanger-Mittel- und Unterlauf Quick edit Valid 2018-01-19 DE3536302
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?