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 2,761 to 2,780.First135136137138139140141142Last
Id Label Status Status Modified Notation
DE2433301 Grambower Moor Quick edit Valid 2018-01-19 DE2433301
DE2433302 Wald bei Dümmer Quick edit Valid 2018-01-19 DE2433302
DE2437301 Wälder bei Mestlin und Langenhägener Seewiesen Quick edit Valid 2018-01-19 DE2437301
DE2437401 Wälder und Feldmark bei Techentin - Mestlin Quick edit Valid 2018-01-19 DE2437401
DE2439304 Paschen-, Langhagen- und Gültzsee Quick edit Valid 2018-01-19 DE2439304
DE2440301 Drewitzer See mit Lübowsee und Dreiersee Quick edit Valid 2018-01-19 DE2440301
DE2441302 Seenlandschaft zwischen Klocksin und Jabel Quick edit Valid 2018-01-19 DE2441302
DE2441303 Kölpinsee und Nordteil Fleesensee Quick edit Valid 2018-01-19 DE2441303
DE2441401 Klocksiner Seenkette, Kölpin- und Fleesensee Quick edit Valid 2018-01-19 DE2441401
DE2442301 Wald- und Kleingewässerlandschaft nördlich von Waren Quick edit Valid 2018-01-19 DE2442301
DE2442302 Waren, Marienkirche und Eiskeller Quick edit Valid 2018-01-19 DE2442302
DE2443301 Ziegenbusch zwischen Rosenow und Möllenhagen Quick edit Valid 2018-01-19 DE2443301
DE2443302 Kleingewässerlandschaft nördlich Möllenhagen Quick edit Valid 2018-01-19 DE2443302
DE2444301 Kuckssee und Lapitzer See Quick edit Valid 2018-01-19 DE2444301
DE2445301 Zirzower Mühle Quick edit Valid 2018-01-19 DE2445301
DE2445302 Neubrandenburg, Eiskeller und Brauereikeller Quick edit Valid 2018-01-19 DE2445302
DE2445303 Trollenhagen, Bunker Quick edit Valid 2018-01-19 DE2445303
DE2446301 Wald- und Kleingewässerlandschaft bei Burg Stargard Quick edit Valid 2018-01-19 DE2446301
DE2446401 Waldlandschaft bei Cölpin Quick edit Valid 2018-01-19 DE2446401
DE2447301 Eichhorster Wald Quick edit Valid 2018-01-19 DE2447301
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?