Grey Literature and Persistent Identifiers: GreyNet’s Use Case

Dominic Farace; Stefania Biagioni; Carlo Carlesi; Chris Baars

Grey Literature and Persistent Identifiers: GreyNet’s Use Case

Dominic Farace, Stefania Biagioni, Carlo Carlesi, Chris Baars

DANS-KNAW

Research output: Chapter in book/volume › Contribution to conference proceedings › Scientific › peer-review

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Abstract

The PID (Persistent Identifier) Project is a follow-up to the AccessGrey Project carried out in 2019 in which an online survey was held among stakeholders in GreyNet’s community of practice. Recipients were asked their opinions about persistent identifiers and grey literature. The focus now in this project is expanded to include the DOI for research outputs alongside the ORCiD for authors/researchers, and the ROR ID for research organizations. This project seeks to go beyond a straightforward compilation and linking of these PIDs by building the PID Graph and contribute to other PID-Graphs built by service providers like OpenAIRE . In this case, the PID Graph seeks to demonstrate how persistent identifiers can further research in the field of grey literature; and, how they contribute in making research entities conform to the FAIR data principles: Findable, Accessible, Interoperable, and Reusable. PIDs and the PID Graph are also seen to serve in the digital transformation of grey literature and as such will contribute to education and training in this field of information. DataCite Commons used in this project is a web search interface for the PID Graph. The results from queries directed to the PID Graph produced in this project will not only serve as a use case for GreyNet but will also provide a model for other communities of practice in grey literature.

Original language	English
Title of host publication	GL2021 CONFERENCE PROCEEDINGS
Subtitle of host publication	Twenty-Third International Conference on Grey Literature 'Digital Transformation of Grey Literature: Exploring Next Generation Grey'
Editors	D. Farace, J. Frantzen
Place of Publication	Amsterdam
Publisher	TextRelease
Chapter	1
Pages	45-53
ISBN (Print)	978-90-77484-40-1
Publication status	Published - Feb 2022

Publication series

Name	GL Conference Series
Publisher	GreyNet International
Volume	23
ISSN (Print)	1386-2316

Keywords

Persistent Identifiers
PIDS
PID-Graph
grey literature
GreyNet
GreyGuide Repository
Community of Practice
Research and Data

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GL2021_Conference_ProceedingsFinal published version, 5.22 MB

http://www.textrelease.com/images/GL2021_Conference_Proceedings.pdf

1 Abstract

Grey Literature and Persistent Identifiers: GreyNet’s Use Case
Farace, D., Biagioni, S., Carlesi, C. & Baars, C., Dec 2021.
Research output: Contribution to conference › Abstract › Scientific

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Farace, D., Biagioni, S., Carlesi, C., & Baars, C. (2022). Grey Literature and Persistent Identifiers: GreyNet’s Use Case. In D. Farace, & J. Frantzen (Eds.), GL2021 CONFERENCE PROCEEDINGS: Twenty-Third International Conference on Grey Literature 'Digital Transformation of Grey Literature: Exploring Next Generation Grey' (pp. 45-53). Article 3 (GL Conference Series; Vol. 23). TextRelease. http://www.textrelease.com/images/GL2021_Conference_Proceedings.pdf

Farace, Dominic ; Biagioni, Stefania ; Carlesi, Carlo et al. / Grey Literature and Persistent Identifiers : GreyNet’s Use Case. GL2021 CONFERENCE PROCEEDINGS: Twenty-Third International Conference on Grey Literature 'Digital Transformation of Grey Literature: Exploring Next Generation Grey'. editor / D. Farace ; J. Frantzen. Amsterdam : TextRelease, 2022. pp. 45-53 (GL Conference Series).

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abstract = "The PID (Persistent Identifier) Project is a follow-up to the AccessGrey Project carried out in 2019 in which an online survey was held among stakeholders in GreyNet{\textquoteright}s community of practice. Recipients were asked their opinions about persistent identifiers and grey literature. The focus now in this project is expanded to include the DOI for research outputs alongside the ORCiD for authors/researchers, and the ROR ID for research organizations. This project seeks to go beyond a straightforward compilation and linking of these PIDs by building the PID Graph and contribute to other PID-Graphs built by service providers like OpenAIRE . In this case, the PID Graph seeks to demonstrate how persistent identifiers can further research in the field of grey literature; and, how they contribute in making research entities conform to the FAIR data principles: Findable, Accessible, Interoperable, and Reusable. PIDs and the PID Graph are also seen to serve in the digital transformation of grey literature and as such will contribute to education and training in this field of information. DataCite Commons used in this project is a web search interface for the PID Graph. The results from queries directed to the PID Graph produced in this project will not only serve as a use case for GreyNet but will also provide a model for other communities of practice in grey literature.",

keywords = "Persistent Identifiers, PIDS, PID-Graph, grey literature, GreyNet, GreyGuide Repository, Community of Practice, Research and Data",

author = "Dominic Farace and Stefania Biagioni and Carlo Carlesi and Chris Baars",

year = "2022",

month = feb,

language = "English",

isbn = "978-90-77484-40-1",

series = "GL Conference Series",

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editor = "D. Farace and J. Frantzen",

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Farace, D, Biagioni, S, Carlesi, C & Baars, C 2022, Grey Literature and Persistent Identifiers: GreyNet’s Use Case. in D Farace & J Frantzen (eds), GL2021 CONFERENCE PROCEEDINGS: Twenty-Third International Conference on Grey Literature 'Digital Transformation of Grey Literature: Exploring Next Generation Grey'., 3, GL Conference Series, vol. 23, TextRelease, Amsterdam, pp. 45-53. <http://www.textrelease.com/images/GL2021_Conference_Proceedings.pdf>

Grey Literature and Persistent Identifiers: GreyNet’s Use Case. / Farace, Dominic; Biagioni, Stefania; Carlesi, Carlo et al.
GL2021 CONFERENCE PROCEEDINGS: Twenty-Third International Conference on Grey Literature 'Digital Transformation of Grey Literature: Exploring Next Generation Grey'. ed. / D. Farace; J. Frantzen. Amsterdam: TextRelease, 2022. p. 45-53 3 (GL Conference Series; Vol. 23).

Research output: Chapter in book/volume › Contribution to conference proceedings › Scientific › peer-review

TY - CHAP

T1 - Grey Literature and Persistent Identifiers

T2 - GreyNet’s Use Case

AU - Farace, Dominic

AU - Biagioni, Stefania

AU - Carlesi, Carlo

AU - Baars, Chris

PY - 2022/2

Y1 - 2022/2

N2 - The PID (Persistent Identifier) Project is a follow-up to the AccessGrey Project carried out in 2019 in which an online survey was held among stakeholders in GreyNet’s community of practice. Recipients were asked their opinions about persistent identifiers and grey literature. The focus now in this project is expanded to include the DOI for research outputs alongside the ORCiD for authors/researchers, and the ROR ID for research organizations. This project seeks to go beyond a straightforward compilation and linking of these PIDs by building the PID Graph and contribute to other PID-Graphs built by service providers like OpenAIRE . In this case, the PID Graph seeks to demonstrate how persistent identifiers can further research in the field of grey literature; and, how they contribute in making research entities conform to the FAIR data principles: Findable, Accessible, Interoperable, and Reusable. PIDs and the PID Graph are also seen to serve in the digital transformation of grey literature and as such will contribute to education and training in this field of information. DataCite Commons used in this project is a web search interface for the PID Graph. The results from queries directed to the PID Graph produced in this project will not only serve as a use case for GreyNet but will also provide a model for other communities of practice in grey literature.

AB - The PID (Persistent Identifier) Project is a follow-up to the AccessGrey Project carried out in 2019 in which an online survey was held among stakeholders in GreyNet’s community of practice. Recipients were asked their opinions about persistent identifiers and grey literature. The focus now in this project is expanded to include the DOI for research outputs alongside the ORCiD for authors/researchers, and the ROR ID for research organizations. This project seeks to go beyond a straightforward compilation and linking of these PIDs by building the PID Graph and contribute to other PID-Graphs built by service providers like OpenAIRE . In this case, the PID Graph seeks to demonstrate how persistent identifiers can further research in the field of grey literature; and, how they contribute in making research entities conform to the FAIR data principles: Findable, Accessible, Interoperable, and Reusable. PIDs and the PID Graph are also seen to serve in the digital transformation of grey literature and as such will contribute to education and training in this field of information. DataCite Commons used in this project is a web search interface for the PID Graph. The results from queries directed to the PID Graph produced in this project will not only serve as a use case for GreyNet but will also provide a model for other communities of practice in grey literature.

KW - Persistent Identifiers

KW - PIDS

KW - PID-Graph

KW - grey literature

KW - GreyNet

KW - GreyGuide Repository

KW - Community of Practice

KW - Research and Data

M3 - Contribution to conference proceedings

SN - 978-90-77484-40-1

T3 - GL Conference Series

SP - 45

EP - 53

BT - GL2021 CONFERENCE PROCEEDINGS

A2 - Farace, D.

A2 - Frantzen, J.

PB - TextRelease

CY - Amsterdam

ER -

Farace D, Biagioni S, Carlesi C, Baars C. Grey Literature and Persistent Identifiers: GreyNet’s Use Case. In Farace D, Frantzen J, editors, GL2021 CONFERENCE PROCEEDINGS: Twenty-Third International Conference on Grey Literature 'Digital Transformation of Grey Literature: Exploring Next Generation Grey'. Amsterdam: TextRelease. 2022. p. 45-53. 3. (GL Conference Series).

Grey Literature and Persistent Identifiers: GreyNet’s Use Case

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Grey Literature and Persistent Identifiers: GreyNet’s Use Case

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