Data Dictionary - Edit vocabulary

EEA EnviroWindows

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 1,681 to 1,700.First Prev 81 82 83 848586 87 88 Next Last

Id	Label	Status	Status Modified	Notation
DE012D00032	Schwachhausen	Valid	2013-06-11	DE012D00032
DE012D00033	Vahr	Valid	2013-06-11	DE012D00033
DE012D00034	Horn-Lehe	Valid	2013-06-11	DE012D00034
DE012D00035	Borgfeld und Oberneuland	Valid	2013-06-11	DE012D00035
DE012D00037	Osterholz	Valid	2013-06-11	DE012D00037
DE012D00038	Hemelingen	Valid	2013-06-11	DE012D00038
DE012D00042	Findorff und Blockland	Valid	2013-06-11	DE012D00042
DE012D00043	Walle	Valid	2013-06-11	DE012D00043
DE012D00044	Gröpelingen	Valid	2013-06-11	DE012D00044
DE012D00051	Burglesum	Valid	2013-06-11	DE012D00051
DE012D00052	Vegesack	Valid	2013-06-11	DE012D00052
DE012D00053	Blumenthal	Valid	2013-06-11	DE012D00053
DE012F	Bremen	Valid	2022-10-18	DE012F
DE012L1	Bremen	Valid	2013-06-11	DE012L1
DE013C1	Hannover	Valid	2013-06-11	DE013C1
DE013D00	DE013D00	Valid	2013-06-11	DE013D00
DE013D00001	Ahlem-Badenstedt-Davenstedt	Valid	2013-06-11	DE013D00001
DE013D00002	Bothfeld, Isernhagen-Süd, Lahe	Valid	2013-06-11	DE013D00002
DE013D00003	Vahrenheide, Sahlkamp	Valid	2013-06-11	DE013D00003
DE013D00004	Buchholz-Kleefeld	Valid	2013-06-11	DE013D00004

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
Filtering text

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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