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Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Site code
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
sitecodes_CC_ISO2 Vocabulary
Released
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19 Aug 2020
sitecodes_DATE_ALLOCATED Quantitative
Released
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20 Aug 2020
sitecodes_DATE_CREATED Quantitative
Released
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20 Aug 2020
sitecodes_DATE_DELETED Quantitative
Released
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20 Aug 2020
sitecodes_INITIAL_SITE_NAME Quantitative
Released
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  • Step 5
20 Aug 2020
sitecodes_SITE_CODE_NAT Quantitative
Released
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20 Aug 2020
sitecodes_STATUS Fixed values
Released
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20 Aug 2020
sitecodes_USER_ALLOCATED Quantitative
Released
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20 Aug 2020
sitecodes_USER_CREATED Quantitative
Released
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20 Aug 2020
sitecodes_YEARS_DELETED Quantitative
Released
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20 Aug 2020

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

192,024 concepts found, displaying 187,761 to 187,780.First9,3859,3869,3879,3889,3899,3909,3919,392Last
Id Label Status Status Modified Notation
555770154 Trockenstandort Bücken Quick edit Valid 2024-11-04 555770154
555770155 Trockenstandort Chliroten Rain - Schnyderrain Quick edit Valid 2024-11-04 555770155
555770156 Trockenstandort Ettenhuser Wald Quick edit Valid 2024-11-04 555770156
555770157 Bösensee und Tümpel im Oberloh Quick edit Valid 2024-11-04 555770157
555770158 Trockenstandort Gamsten-Rosenberg-Liebenfels Quick edit Valid 2024-11-04 555770158
555770159 Trockenstandort Geissrain Quick edit Valid 2024-11-04 555770159
555770160 Trockenstandort Gottert Quick edit Valid 2024-11-04 555770160
555770161 Trockenstandort Guugen Quick edit Valid 2024-11-04 555770161
555770162 Trockenstandort Halden - Mandach - Schlosshalden Quick edit Valid 2024-11-04 555770162
555770163 Trockenstandort Hard Quick edit Valid 2024-11-04 555770163
555770164 Trockenstandort Hasenstrick-Breitlen Quick edit Valid 2024-11-04 555770164
555770165 Trockenstandort Hasenstrick-Matten Quick edit Valid 2024-11-04 555770165
555770166 Trockenstandort Höh Quick edit Valid 2024-11-04 555770166
555770167 Trockenstandort Loorentobel-Ballikon Quick edit Valid 2024-11-04 555770167
555770168 Brandrüti Quick edit Valid 2024-11-04 555770168
555770169 Trockenstandort Multberg Quick edit Valid 2024-11-04 555770169
555770170 Trockenstandort Ober Emmetschloo Quick edit Valid 2024-11-04 555770170
555770171 Trockenstandort Olpis Quick edit Valid 2024-11-04 555770171
555770172 Trockenstandort Ornerhalden Quick edit Valid 2024-11-04 555770172
555770173 Trockenstandort Rüetschwil Quick edit Valid 2024-11-04 555770173
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?