Data Dictionary - Edit vocabulary

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Eionet

Data Dictionary

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Eionet

Data Dictionary

Edit vocabulary

Folder		Existing folder New folder Identifier: Label:
Identifier
Label
Base URI
Registration status
Type		Common
Numeric concept identifiers
Notations equal identifiers
Definition
Version
Source
License

Bound elements for concepts

Element	Type	Status
coreCityOf	Quantitative	Released Step 1 Step 2 Step 3 Step 4 Step 5 ^{20 Oct 2013}
hasDistrict	Quantitative	Released Step 1 Step 2 Step 3 Step 4 Step 5 ^{20 Oct 2013}
inCountry	Vocabulary	Released Step 1 Step 2 Step 3 Step 4 Step 5 ^{29 Aug 2014}
owl:sameAs	Quantitative	Released Step 1 Step 2 Step 3 Step 4 Step 5 ^{30 Sep 2013}
skos:broader	Quantitative	Released Step 1 Step 2 Step 3 Step 4 Step 5 ^{30 Sep 2013}
skos:closeMatch	Quantitative	Released Step 1 Step 2 Step 3 Step 4 Step 5 ^{30 Sep 2013}
skos:exactMatch	Quantitative	Released Step 1 Step 2 Step 3 Step 4 Step 5 ^{30 Sep 2013}
skos:narrower	Quantitative	Released Step 1 Step 2 Step 3 Step 4 Step 5 ^{17 Sep 2015}

Add new data elements

Data element

Identifier
Label
Definition
Notation		(forcefully equal to identifier in this vocabulary)

Vocabulary concepts

13,394 concepts found, displaying 1,301 to 1,320.First Prev 62 63 64 656667 68 69 Next Last

Id	Label	Status	Status Modified	Notation
DE001D00105	Köpenick Nord	Valid	2016-01-06	DE001D00105
DE001D00106	Marzahn Nord	Valid	2016-01-06	DE001D00106
DE001D00107	Marzahn Mitte	Valid	2016-01-06	DE001D00107
DE001D00108	Marzahn Süd	Valid	2016-01-06	DE001D00108
DE001D00109	Hellersdorf Nord	Valid	2016-01-06	DE001D00109
DE001D00110	Hellersdorf Ost	Valid	2016-01-06	DE001D00110
DE001D00111	Hellersdorf Süd	Valid	2016-01-06	DE001D00111
DE001D00112	Biesdorf	Valid	2016-01-06	DE001D00112
DE001D00113	Kaulsdorf	Valid	2016-01-06	DE001D00113
DE001D00114	Mahlsdorf	Valid	2016-01-06	DE001D00114
DE001D00115	Malchow, Wartenberg und Falkenberg	Valid	2016-01-06	DE001D00115
DE001D00116	Neu-Hohenschönhausen Nord	Valid	2016-01-06	DE001D00116
DE001D00117	Neu-Hohenschönhausen Süd	Valid	2016-01-06	DE001D00117
DE001D00118	Alt-Hohenschönhausen Nord	Valid	2016-01-06	DE001D00118
DE001D00119	Alt-Hohenschönhausen Süd	Valid	2016-01-06	DE001D00119
DE001D00120	Fennpfuhl	Valid	2016-01-06	DE001D00120
DE001D00121	Alt-Lichtenberg	Valid	2016-01-06	DE001D00121
DE001D00122	Frankfurter Allee Süd	Valid	2016-01-06	DE001D00122
DE001D00123	Neu-Lichtenberg	Valid	2016-01-06	DE001D00123
DE001D00124	Friedrichsfelde Nord	Valid	2016-01-06	DE001D00124

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

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

Purge Vocabulary Data

Purge Bound Elements

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Status
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Columns	Notation Status Status Modified Accepted Date Not Accepted Date coreCityOf hasDistrict inCountry owl:sameAs skos:broader skos:closeMatch skos:exactMatch skos:narrower
Show definition	Yes
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