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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 101 to 120.First23456789Last
Id Label Status Status Modified Notation
AT2145000 Motschulagraben Quick edit Valid 2018-01-19 AT2145000
AT2146000 Penkensee Quick edit Valid 2018-01-19 AT2146000
AT2147000 Lichtegg bei Knappenberg Quick edit Valid 2018-01-19 AT2147000
AT2148000 Krampelgraben bei Höhenbergen Quick edit Valid 2018-01-19 AT2148000
AT2149000 Schlosspark Krastowitz Quick edit Valid 2018-01-19 AT2149000
AT2150000 Leonstein Quick edit Valid 2019-06-12 AT2150000
AT2151000 Finkensteiner Moor Quick edit Valid 2019-06-12 AT2151000
AT2152000 Moor bei St. Margarethen Quick edit Valid 2019-06-12 AT2152000
AT2153000 Ebenthaler Schlucht Quick edit Valid 2019-06-12 AT2153000
AT2154000 Kosiak Quick edit Valid 2019-06-12 AT2154000
AT2155000 Tiffen Quick edit Valid 2019-06-12 AT2155000
AT2156000 Michaelergraben Quick edit Valid 2019-06-12 AT2156000
AT2157000 Ingolsthal Quick edit Valid 2019-06-12 AT2157000
AT2158000 Ossiacher Tauern Quick edit Valid 2019-06-12 AT2158000
AT2159000 Garnitzenklamm Quick edit Valid 2019-06-12 AT2159000
AT2160000 Sattnitz-Ost Quick edit Valid 2019-06-12 AT2160000
AT2161000 Kronhofgraben Quick edit Valid 2019-06-12 AT2161000
AT2162000 Trögerner Klamm Quick edit Valid 2019-06-12 AT2162000
AT2163000 In der Laka Quick edit Valid 2019-06-12 AT2163000
AT2164000 Rosegger Drauschleife und Umgebung Quick edit Valid 2019-06-12 AT2164000
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?