Dataverse tests

Stefan Kasberger; Daniel Melichar; Andreas Loibl; Vyacheslav Tykhonov

Dataverse tests

Stefan Kasberger (Ontwikkelaar)
, Daniel Melichar (Ontwikkelaar)
, Andreas Loibl (Ontwikkelaar)
, Vyacheslav Tykhonov (Consultant)

DANS-KNAW

AUSSDA - The Austrian Social Science Data Archive

Onderzoeksoutput: Niet-tekstuele vorm › Digitale of Visuele Producten › Professioneel

Samenvatting

Dataverse tests for operation of Dataverse installations. It focuses on Dataverses most important functionality for it's operation on your institution (e. g. settings, customizations, endpoints, login and other critical core functionalities) - to test Dataverse after a fresh installation, an upgrade or for frequent checks during runtime. The tests do not contain common frontend or backend tests, which is part of Dataverse development.

Originele taal-2	Engels
Status	Gepubliceerd - 21 mei 2021

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https://github.com/gdcc/dataverse_testsLicentie: CC0

SSHOC: Social Sciences and Humanities Open Cloud
Wittenberg, M. (PI), Braukmann, R. (PI), Leenarts, E. (Collaborator), Tykhonov, V. (Collaborator), Huis in 't Veld, L. (Collaborator), van Horik, R. (Collaborator), Kalaitzi, V. (Collaborator) & Saldner, S. (Collaborator)
01/01/2019 → 31/03/2022
Project: Onderzoek

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title = "Dataverse tests",

abstract = "Dataverse tests for operation of Dataverse installations. It focuses on Dataverses most important functionality for it's operation on your institution (e. g. settings, customizations, endpoints, login and other critical core functionalities) - to test Dataverse after a fresh installation, an upgrade or for frequent checks during runtime. The tests do not contain common frontend or backend tests, which is part of Dataverse development.",

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Y1 - 2021/5/21

N2 - Dataverse tests for operation of Dataverse installations. It focuses on Dataverses most important functionality for it's operation on your institution (e. g. settings, customizations, endpoints, login and other critical core functionalities) - to test Dataverse after a fresh installation, an upgrade or for frequent checks during runtime. The tests do not contain common frontend or backend tests, which is part of Dataverse development.

AB - Dataverse tests for operation of Dataverse installations. It focuses on Dataverses most important functionality for it's operation on your institution (e. g. settings, customizations, endpoints, login and other critical core functionalities) - to test Dataverse after a fresh installation, an upgrade or for frequent checks during runtime. The tests do not contain common frontend or backend tests, which is part of Dataverse development.

M3 - Digital or Visual Products

ER -

Dataverse tests

Samenvatting

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Projecten

SSHOC: Social Sciences and Humanities Open Cloud

Citeer dit