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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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2,111 to 2,120 of 3,476 Results
15_NS_seire_Lisa_14_Intervjueeritud_ekspertide_nimekiri.pdf
Nov 10, 2021 - Nutika spetsialiseerumise seiresüsteem ja tõhus valitsemine
Adobe PDF - 299.4 KB - MD5: 8a281f63ffeac2f763e0a3f6785e3902
Intervjueeritud ekspertide nimekiri.
16_NS_seire_Lisa_15_Seminari_kysimustik.pdf
Nov 10, 2021 - Nutika spetsialiseerumise seiresüsteem ja tõhus valitsemine
Adobe PDF - 397.3 KB - MD5: 9fe20146e3f513b2a8c3b7e43fab20ba
Seminaride küsimustik.
17_NS_seire_Lisa_16_Seminaridel_osalenute_nimekiri.pdf
Nov 10, 2021 - Nutika spetsialiseerumise seiresüsteem ja tõhus valitsemine
Adobe PDF - 307.1 KB - MD5: b2ff8247aede7e9fecfa91d8e0f3f0c7
Seminaridel osalenute nimekiri.
migratsioonieelne_statistika.html
Nov 10, 2021 - Nutika spetsialiseerumise seiresüsteem ja tõhus valitsemine
HTML - 82.6 KB - MD5: 002eae16d5d7f81aa55b84d9a770a733
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...
NS_seire_FV_juhtimismudeli_skeem_teekonnana.pdf
Nov 10, 2021 - Nutika spetsialiseerumise seiresüsteem ja tõhus valitsemine
Adobe PDF - 2.3 MB - MD5: 45affc45ae8cea057500b3660a3cbde8
Fookusvaldkondade juhtimismudeli skeem (sisaldub ka uuringu aruandes).
README.txt
Nov 10, 2021 - Nutika spetsialiseerumise seiresüsteem ja tõhus valitsemine
Plain Text - 3.5 KB - MD5: 6902f57c6185f310bc0f6e6573a0fc9a
Data and R code for "Manner of motion in Estonian: A descriptive account of speed"
Nov 3, 2021 - Eesti ja üldkeeleteaduse andmed
Taremaa, Piia; Kopecka, Anetta, 2021, "Data and R code for "Manner of motion in Estonian: A descriptive account of speed"", https://doi.org/10.23673/RE-296, DATADOI, V1
Data and statistical code used in the paper "Manner of motion in Estonian: A descriptive account of speed" (accepted by the Studies in Language in 2021). Authors of the paper: Piia Taremaa and Anetta Kopecka.
migratsioonieelne_statistika.html
Nov 3, 2021 - Data and R code for "Manner of motion in Estonian: A descriptive account of speed"
HTML - 11.0 KB - MD5: 5665d52faf697186917cd62c3875bb95
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...
R code for the paper 'Manner of motion in Estonian_A descriptive account of speed' (Taremaa and Kopecka).txt
Nov 3, 2021 - Data and R code for "Manner of motion in Estonian: A descriptive account of speed"
Plain Text - 8.3 KB - MD5: 836fa74978d1c12cd55864e5e08246a2
README.txt
Nov 3, 2021 - Data and R code for "Manner of motion in Estonian: A descriptive account of speed"
Plain Text - 3.4 KB - MD5: 8172e901f67e1af17594638d4e71fa4c
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