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DATADOI on multidistsiplinaarne avatud repositoorium teadusandmete jagamiseks ja avaldamiseks, mis põhineb avatud lähtekoodiga Dataverse tarkvaral.

Andmed tuleks talletada selle asutuse kollektsiooni, millega vähemalt üks kaasautoritest on seotud. DATADOI sisaldab praegu institutsionaalseid kollektsioone Tartu Ülikoolile, Tallinna Ülikoolile, Estonian Business Schoolile ja Eesti Teadusagentuurile.

Kui sobivat kollektsiooni veel ei ole, võtke ühendust DATADOI meeskonnaga aadressil datadoi@datadoi.ee.


DATADOI is a multidisciplinary open repository for sharing and publishing research data, based on the open-source Dataverse software.

Data should be deposited in the institutional collection assigned to the institution with which at least one of the contributors is affiliated. DATADOI currently includes institutional collections for the University of Tartu, Tallinn University, Estonian Business School, and the Estonian Research Council.

If a suitable collection does not yet exist, please contact the DATADOI team at datadoi@datadoi.ee.

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HTML - 9.9 KB - MD5: d542e40119dd35d7de2911301be5f1db
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid. Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent...
Plain Text - 25.8 KB - MD5: 28271ea3ff9d9a1065f0f6d058d4caec
README-file
Dec 13, 2024 - BSMI andmed
Hickey, Miriam, 2024, "Research data for Early trigeminal and sensory impairment and lysosomal dysfunction in accurate models of Wolfram syndrome", https://doi.org/10.23673/RE-495, DATADOI, V1
We present here data from our paper Early trigeminal and sensory impairment and lysosomal dysfunction in accurate models of Wolfram syndrome. We include data underlying all figures and tables. Research data for publicly available data can be found as cited in README file.
HTML - 10.8 KB - MD5: 4a6ef6488ce59a00ea1691dfa318ce7b
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid. Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent...
Nov 28, 2024 - Poliitikauuringute andmed
Ehin, Piret; Mölder, Martin; Talving, Liisa; Kondratyk, Yurii, 2024, "Survey on Public Perceptions of Big Tech Companies in Europe", https://doi.org/10.23673/RE-494, DATADOI, V1
This data set contains a cross-country survey in 15 European countries on public perceptions of big-tech companies. The purpose of the dataset is to map out European citizens' perceptions of big-tech companies together with additional information that would allow to analyse how such perceptions are related to political and socio-demographic charact...
Adobe PDF - 508.6 KB - MD5: 539ed2a12554dd993f299928b11e2958
codebook for survey Fail on embargo all kuni 2026-09-30. File is under embargo until 2026-09-30.
Comma Separated Values - 3.7 MB - MD5: 6cf993fdbd5442322136b895a7507d33
survey data file Fail on embargo all kuni 2026-09-30. File is under embargo until 2026-09-30.
Plain Text - 3.2 KB - MD5: 30dc3bdd6505ac419c064a80d41947f5
dataset readme file Fail on embargo all kuni 2026-09-30. File is under embargo until 2026-09-30.
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