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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 2,901 to 2,920.First142143144145146147148149Last
Id Label Status Status Modified Notation
DE2635304 Neustädter See Quick edit Valid 2018-01-19 DE2635304
DE2635305 Ludwigslust, Eiskeller Quick edit Valid 2018-01-19 DE2635305
DE2635401 Ludwigsluster - Grabower Heide Quick edit Valid 2018-01-19 DE2635401
DE2636301 Sonnenberg bei Parchim Quick edit Valid 2018-01-19 DE2636301
DE2638301 Marienfließ Quick edit Valid 2018-01-19 DE2638301
DE2638302 Quaßliner Moor Quick edit Valid 2018-01-19 DE2638302
DE2638303 Waldsee Mathildenhof Quick edit Valid 2018-01-19 DE2638303
DE2638305 Fließgewässer, Seen und Moore des Siggelkower Sanders Quick edit Valid 2018-01-19 DE2638305
DE2638471 Elde - Gehlsbachtal und Quaßliner Moor Quick edit Valid 2018-01-19 DE2638471
DE2639301 Marienfließ Quick edit Valid 2018-01-19 DE2639301
DE2639302 Fledermausquartier Kirche Meyenburg Quick edit Valid 2018-01-19 DE2639302
DE2639471 Retzower Heide Quick edit Valid 2018-01-19 DE2639471
DE2640401 Feldmark Massow-Wendisch Priborn-Satow Quick edit Valid 2018-01-19 DE2640401
DE2642301 Ostufer Sumpfsee bei Vietzen Quick edit Valid 2018-01-19 DE2642301
DE2642401 Müritz-Seenland und Neustrelitzer Kleinseenplatte Quick edit Valid 2018-01-19 DE2642401
DE2644302 Schloßberg Weisdin Quick edit Valid 2018-01-19 DE2644302
DE2644303 Tiergarten Neustrelitz Quick edit Valid 2018-01-19 DE2644303
DE2644304 Kalkhorst Quick edit Valid 2018-01-19 DE2644304
DE2644305 Neustrelitz, Eiskeller Quick edit Valid 2018-01-19 DE2644305
DE2645301 Serrahn Quick edit Valid 2018-01-19 DE2645301
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?