A Linked Data Model for Data Scopes

Victor de Boer; Ivette Bonestroo; Marijn Koolen; Rik Hoekstra

doi:10.1007/978-3-030-71903-6_32

A Linked Data Model for Data Scopes

Victor de Boer^*, Ivette Bonestroo, Marijn Koolen, Rik Hoekstra

^*Corresponding author for this work

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

71 Downloads (Pure)

Abstract

With the rise of data driven methods in the humanities, it becomes necessary to develop reusable and consistent methodological patterns for dealing with the various data manipulation steps. This increases transparency, replicability of the research. Data scopes present a qualitative framework for such methodological steps. In this work we present a Linked Data model to represent and share Data Scopes. The model consists of a central Data scope element, with linked elements for data Selection, Linking, Modeling, Normalisation and Classification. We validate the model by representing the data scope for 24 articles from two domains: Humanities and Social Science.

Original language	English
Title of host publication	Metadata and Semantic Research
Subtitle of host publication	14th International Conference, MTSR 2020, Madrid, Spain, December 2–4, 2020, Revised Selected Papers
Editors	Emmanouel Garoufallou, María-Antonia Ovalle-Perandones
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	345-351
Number of pages	7
Volume	1355
ISBN (Electronic)	9783030719036
ISBN (Print)	9783030719029
DOIs	https://doi.org/10.1007/978-3-030-71903-6_32
Publication status	Published - 2021
Event	14th International Conference on Metadata and Semantics Research, MTSR 2020 - Madrid, Spain Duration: 2 Dec 2020 → 4 Dec 2020

Publication series

Name	Communications in Computer and Information Science
Volume	1355 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	14th International Conference on Metadata and Semantics Research, MTSR 2020
Country/Territory	Spain
City	Madrid
Period	2/12/20 → 4/12/20

Bibliographical note

Funding Information:
Acknowledgements. The research for this article was made possible by the CLARIAH-PLUS project financed by NWO (http://www.clariah.nl). The authors would like to thank Gard Ruurd for his contributions to the research.

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Funding

Acknowledgements. The research for this article was made possible by the CLARIAH-PLUS project financed by NWO (http://www.clariah.nl). The authors would like to thank Gard Ruurd for his contributions to the research.

Keywords

Data scope
Linked Data
Scholarly data

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-71903-6_32

Boer2021_Chapter_ALinkedDataModelForDataScopesFinal published version, 890 KBLicence: Article 25fa Dutch Copyright Act

Persistent URL (handle)

Persistent link

Cite this

de Boer, V., Bonestroo, I., Koolen, M., & Hoekstra, R. (2021). A Linked Data Model for Data Scopes. In E. Garoufallou, & M.-A. Ovalle-Perandones (Eds.), Metadata and Semantic Research: 14th International Conference, MTSR 2020, Madrid, Spain, December 2–4, 2020, Revised Selected Papers (Vol. 1355, pp. 345-351). (Communications in Computer and Information Science; Vol. 1355 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-71903-6_32

de Boer, Victor ; Bonestroo, Ivette ; Koolen, Marijn et al. / A Linked Data Model for Data Scopes. Metadata and Semantic Research: 14th International Conference, MTSR 2020, Madrid, Spain, December 2–4, 2020, Revised Selected Papers. editor / Emmanouel Garoufallou ; María-Antonia Ovalle-Perandones. Vol. 1355 Springer Science and Business Media Deutschland GmbH, 2021. pp. 345-351 (Communications in Computer and Information Science).

@inproceedings{3a23125e5d5541e390057c7c01b12c0a,

title = "A Linked Data Model for Data Scopes",

abstract = "With the rise of data driven methods in the humanities, it becomes necessary to develop reusable and consistent methodological patterns for dealing with the various data manipulation steps. This increases transparency, replicability of the research. Data scopes present a qualitative framework for such methodological steps. In this work we present a Linked Data model to represent and share Data Scopes. The model consists of a central Data scope element, with linked elements for data Selection, Linking, Modeling, Normalisation and Classification. We validate the model by representing the data scope for 24 articles from two domains: Humanities and Social Science.",

keywords = "Data scope, Linked Data, Scholarly data",

author = "{de Boer}, Victor and Ivette Bonestroo and Marijn Koolen and Rik Hoekstra",

note = "Funding Information: Acknowledgements. The research for this article was made possible by the CLARIAH-PLUS project financed by NWO (http://www.clariah.nl). The authors would like to thank Gard Ruurd for his contributions to the research. Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 14th International Conference on Metadata and Semantics Research, MTSR 2020 ; Conference date: 02-12-2020 Through 04-12-2020",

year = "2021",

doi = "10.1007/978-3-030-71903-6_32",

language = "English",

isbn = "9783030719029",

volume = "1355",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "345--351",

editor = "Emmanouel Garoufallou and Mar{\'i}a-Antonia Ovalle-Perandones",

booktitle = "Metadata and Semantic Research",

address = "Germany",

}

de Boer, V, Bonestroo, I, Koolen, M & Hoekstra, R 2021, A Linked Data Model for Data Scopes. in E Garoufallou & M-A Ovalle-Perandones (eds), Metadata and Semantic Research: 14th International Conference, MTSR 2020, Madrid, Spain, December 2–4, 2020, Revised Selected Papers. vol. 1355, Communications in Computer and Information Science, vol. 1355 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 345-351, 14th International Conference on Metadata and Semantics Research, MTSR 2020, Madrid, Spain, 2/12/20. https://doi.org/10.1007/978-3-030-71903-6_32

A Linked Data Model for Data Scopes. / de Boer, Victor; Bonestroo, Ivette; Koolen, Marijn et al.
Metadata and Semantic Research: 14th International Conference, MTSR 2020, Madrid, Spain, December 2–4, 2020, Revised Selected Papers. ed. / Emmanouel Garoufallou; María-Antonia Ovalle-Perandones. Vol. 1355 Springer Science and Business Media Deutschland GmbH, 2021. p. 345-351 (Communications in Computer and Information Science; Vol. 1355 CCIS).

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

TY - GEN

T1 - A Linked Data Model for Data Scopes

AU - de Boer, Victor

AU - Bonestroo, Ivette

AU - Koolen, Marijn

AU - Hoekstra, Rik

N1 - Funding Information: Acknowledgements. The research for this article was made possible by the CLARIAH-PLUS project financed by NWO (http://www.clariah.nl). The authors would like to thank Gard Ruurd for his contributions to the research. Publisher Copyright: © 2021, Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021

Y1 - 2021

N2 - With the rise of data driven methods in the humanities, it becomes necessary to develop reusable and consistent methodological patterns for dealing with the various data manipulation steps. This increases transparency, replicability of the research. Data scopes present a qualitative framework for such methodological steps. In this work we present a Linked Data model to represent and share Data Scopes. The model consists of a central Data scope element, with linked elements for data Selection, Linking, Modeling, Normalisation and Classification. We validate the model by representing the data scope for 24 articles from two domains: Humanities and Social Science.

AB - With the rise of data driven methods in the humanities, it becomes necessary to develop reusable and consistent methodological patterns for dealing with the various data manipulation steps. This increases transparency, replicability of the research. Data scopes present a qualitative framework for such methodological steps. In this work we present a Linked Data model to represent and share Data Scopes. The model consists of a central Data scope element, with linked elements for data Selection, Linking, Modeling, Normalisation and Classification. We validate the model by representing the data scope for 24 articles from two domains: Humanities and Social Science.

KW - Data scope

KW - Linked Data

KW - Scholarly data

UR - http://www.scopus.com/inward/record.url?scp=85104841961&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85104841961&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-71903-6_32

DO - 10.1007/978-3-030-71903-6_32

M3 - Conference contribution

AN - SCOPUS:85104841961

SN - 9783030719029

VL - 1355

T3 - Communications in Computer and Information Science

SP - 345

EP - 351

BT - Metadata and Semantic Research

A2 - Garoufallou, Emmanouel

A2 - Ovalle-Perandones, María-Antonia

PB - Springer Science and Business Media Deutschland GmbH

T2 - 14th International Conference on Metadata and Semantics Research, MTSR 2020

Y2 - 2 December 2020 through 4 December 2020

ER -

de Boer V, Bonestroo I, Koolen M, Hoekstra R. A Linked Data Model for Data Scopes. In Garoufallou E, Ovalle-Perandones MA, editors, Metadata and Semantic Research: 14th International Conference, MTSR 2020, Madrid, Spain, December 2–4, 2020, Revised Selected Papers. Vol. 1355. Springer Science and Business Media Deutschland GmbH. 2021. p. 345-351. (Communications in Computer and Information Science). Epub 2021 Mar 18. doi: 10.1007/978-3-030-71903-6_32

A Linked Data Model for Data Scopes

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

Persistent URL (handle)

Other files and links

Fingerprint

CLARIAH PLUS

Cite this

A Linked Data Model for Data Scopes

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

Persistent URL (handle)

Other files and links

Fingerprint

Projects

CLARIAH PLUS

Cite this