Data collection for learner corpus of Latvian: copyright and personal data protection

Inga Kaija; Ilze Auzina

doi:10.3384/ecp2020172006

Data collection for learner corpus of Latvian: copyright and personal data protection

Inga Kaija (Corresponding Author), Ilze Auzina

Rīga Stradiņš University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Copyright and personal data protection are two of the most important legal aspects of collecting
data for a learner corpus. The paper explains the challenges in data collection for the learner
corpus of Latvian “LaVA” and describes the procedure undertaken to ensure protection of the
texts’ authors’ rights. An agreement / metadata questionnaire form was created to inform the
authors of the ways their texts are used and to receive the authors’ permission to use them in the
stated way. The information, permission, and the metadata questionnaire are printed on one side
of an A4 size paper sheet, and the author is supposed to write the text on the other side by hand,
thus eliminating the need to identify the author of the text separately. After scanning and adding
to the corpus, the text originals are returned to the authors.

Original language	English
Title of host publication	Selected Papers from the CLARIN Annual Conference 2019
Editors	Kiril Simov, Maria Eskevich
Pages	41-47
Number of pages	7
Volume	172
DOIs	https://doi.org/10.3384/ecp2020172006
Publication status	Published - 3 Jul 2020
Event	CLARIN Annual Conference 2019 - Leipzig, Germany Duration: 30 Sept 2019 → 2 Oct 2019

Publication series

Name	Linköping Electronic Conference Proceedings
ISSN (Print)	1650-3740

Conference

Conference	CLARIN Annual Conference 2019
Country/Territory	Germany
City	Leipzig
Period	30/09/19 → 2/10/19

Keywords*

copyright
personal data protection
learner corpus
Latvian

Field of Science*

6.2 Languages and Literature
1.1 Mathematics

Publication Type*

3.2. Articles or chapters in other proceedings other than those included in 3.1., with an ISBN or ISSN code

Access to Document

10.3384/ecp2020172006

Cite this

@inproceedings{35abebe1fbcc405dba9b9b6d34262e9e,

title = "Data collection for learner corpus of Latvian: copyright and personal data protection",

abstract = "Copyright and personal data protection are two of the most important legal aspects of collectingdata for a learner corpus. The paper explains the challenges in data collection for the learnercorpus of Latvian “LaVA” and describes the procedure undertaken to ensure protection of thetexts{\textquoteright} authors{\textquoteright} rights. An agreement / metadata questionnaire form was created to inform theauthors of the ways their texts are used and to receive the authors{\textquoteright} permission to use them in thestated way. The information, permission, and the metadata questionnaire are printed on one sideof an A4 size paper sheet, and the author is supposed to write the text on the other side by hand,thus eliminating the need to identify the author of the text separately. After scanning and addingto the corpus, the text originals are returned to the authors.",

keywords = "copyright, personal data protection, learner corpus, Latvian",

author = "Inga Kaija and Ilze Auzina",

year = "2020",

month = jul,

day = "3",

doi = "10.3384/ecp2020172006",

language = "English",

isbn = "978-91-7929-807-4",

volume = "172",

series = "Link{\"o}ping Electronic Conference Proceedings",

pages = "41--47",

editor = "Kiril Simov and Maria Eskevich",

booktitle = "Selected Papers from the CLARIN Annual Conference 2019",

note = "CLARIN Annual Conference 2019 ; Conference date: 30-09-2019 Through 02-10-2019",

}

Data collection for learner corpus of Latvian: copyright and personal data protection. / Kaija, Inga (Corresponding Author); Auzina, Ilze.
Selected Papers from the CLARIN Annual Conference 2019. ed. / Kiril Simov; Maria Eskevich. Vol. 172 2020. p. 41-47 (Linköping Electronic Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Data collection for learner corpus of Latvian: copyright and personal data protection

AU - Kaija, Inga

AU - Auzina, Ilze

PY - 2020/7/3

Y1 - 2020/7/3

N2 - Copyright and personal data protection are two of the most important legal aspects of collectingdata for a learner corpus. The paper explains the challenges in data collection for the learnercorpus of Latvian “LaVA” and describes the procedure undertaken to ensure protection of thetexts’ authors’ rights. An agreement / metadata questionnaire form was created to inform theauthors of the ways their texts are used and to receive the authors’ permission to use them in thestated way. The information, permission, and the metadata questionnaire are printed on one sideof an A4 size paper sheet, and the author is supposed to write the text on the other side by hand,thus eliminating the need to identify the author of the text separately. After scanning and addingto the corpus, the text originals are returned to the authors.

AB - Copyright and personal data protection are two of the most important legal aspects of collectingdata for a learner corpus. The paper explains the challenges in data collection for the learnercorpus of Latvian “LaVA” and describes the procedure undertaken to ensure protection of thetexts’ authors’ rights. An agreement / metadata questionnaire form was created to inform theauthors of the ways their texts are used and to receive the authors’ permission to use them in thestated way. The information, permission, and the metadata questionnaire are printed on one sideof an A4 size paper sheet, and the author is supposed to write the text on the other side by hand,thus eliminating the need to identify the author of the text separately. After scanning and addingto the corpus, the text originals are returned to the authors.

KW - copyright

KW - personal data protection

KW - learner corpus

KW - Latvian

UR - https://www.mendeley.com/catalogue/ec5a3d68-b104-3899-be24-0be6d4d5c4af/

UR - https://ep.liu.se/ecp/172/ecp20172.pdf

U2 - 10.3384/ecp2020172006

DO - 10.3384/ecp2020172006

M3 - Conference contribution

SN - 978-91-7929-807-4

VL - 172

T3 - Linköping Electronic Conference Proceedings

SP - 41

EP - 47

BT - Selected Papers from the CLARIN Annual Conference 2019

A2 - Simov, Kiril

A2 - Eskevich, Maria

T2 - CLARIN Annual Conference 2019

Y2 - 30 September 2019 through 2 October 2019

ER -

Data collection for learner corpus of Latvian: copyright and personal data protection

Abstract

Publication series

Conference

Keywords*

Field of Science*

Publication Type*

Access to Document

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Cite this