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Høgskulen på Vestlandet

Tradisjonsleik på Vestlandet

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Description

At the former Stord/Haugesund University College, student in preschool and teacher education collected traditional children's games. The collection started in 1998 when the students made their own playbook consisting of games from their childhood. New students collected games from older people in their hometowns (2002-2004). All games were sorted in categories and stored in the database from 2002. The collection was completed in 2007. The dataset consists of over 155 children's games described in Norwegian and fiftyeight are translated into English. Many of the collected games are repeated, but often with different names and variants.

Distributions
1

DataverseNO
  • Open license
  • csv
  • txt
  • txt
  • csv
Description:

DataverseNO is a national, generalist repository for the open sharing of research data established in 2017. The repository is managed by UiT The Arctic University of Norway on behalf of a national consortium consisting of the DataverseNO partner institutions. The repository supports the FAIR principles and was CoreTrustSeal certified for the first time in 2020. It is currently renewing its certification. The repository uses Dataverse, an open-source platform developed by an international community led by Harvard University and used worldwide.

Access URL:
https://dataverse.no
Status:
completed
Direct download:
API:
Not provided
Documentation:
https://dataverse.no/
License:
Conforms to:
Not provided
Rights for use:
Not provided
Download

APIs providing this dataset
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No registered APIs provide this dataset.

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Distributions
1

DataverseNO
  • Open license
  • csv
  • txt
  • txt
  • csv
Description:

DataverseNO is a national, generalist repository for the open sharing of research data established in 2017. The repository is managed by UiT The Arctic University of Norway on behalf of a national consortium consisting of the DataverseNO partner institutions. The repository supports the FAIR principles and was CoreTrustSeal certified for the first time in 2020. It is currently renewing its certification. The repository uses Dataverse, an open-source platform developed by an international community led by Harvard University and used worldwide.

Access URL:
https://dataverse.no
Status:
completed
Direct download:
API:
Not provided
Documentation:
https://dataverse.no/
License:
Conforms to:
Not provided
Rights for use:
Not provided
Download

APIs providing this dataset
0

No registered APIs provide this dataset.

Contact information

Contact point:
Biblioteket ved Høgskolen på Vestlandet
Website:
https://www.hvl.no/bibliotek/forskingsstotte/eining-for-forskingsstotte/
Email:
biblioteket@hvl.no
Telephone:
Not provided

About the data

Language:
English, Norwegian
Content providers:
Not provided
Provenance:
User collection
Update frequency:
Not provided
First issued:

This date indicates when the data in this dataset was first released. It may have happened before the dataset was published on data.norge.no.

December 18, 2020
Last updated:
January 1, 2007
Geographical scope:
  1. Norway
  2. United States
  3. Romania
  4. Denmark
  5. Slovenia
  6. Portugal
  7. Canada
Temporal scope:
From:
January 1, 1910
To:
January 1, 2007
Conforms to:

Reference to an implementation rule or other specification that forms the basis for the dataset.

Not provided
Quality annotations:

Datasettet inneholder alt som ble samlet inn, men er ingen komplett oversikt over tradisjonslek.

  • completeness

Applicable legislation

Not provided

Concepts used in the dataset

Not provided

References

Not provided

Fees

Not provided

About this dataset

Publisher:
Published:

This date indicates when the dataset was harvested by data.norge.no. It may have been available earlier elsewhere.

Read more about harvesting here

September 11, 2023
Last updated:
November 2, 2026
Landing page:
https://dataverse.no/dataset.xhtml?persistentId=doi:10.18710/3ARKLU
Documentation:
Not provided
Dataset type:
Not provided
Metadata Quality:

Metadata quality is an indicator of how well the datasets are described using metadata.

Read more about metadata quality here

Excellent (75%)
URI:

Themes

Keywords

Not provided

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