Extended Data Pipeline for Circular Economy Monitoring

B.D. Rukanova; Y. Tan; Robin Hamerlinck; Frank Heijmann; J. Ubacht

doi:10.1145/3463677.3463752

Extended Data Pipeline for Circular Economy Monitoring

B.D. Rukanova, Y. Tan, Robin Hamerlinck, Frank Heijmann, J. Ubacht

Information and Communication Technology

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

7 Citations (Scopus)

88 Downloads (Pure)

Abstract

Circular economy (CE) and sustainability are high on the political agenda of governments nationally and internationally. Governments are developing instruments to stimulate the CE, but without monitoring in place, these measures can be subject to abuse, failing to achieve the desired effects. CE monitoring, however, is still a nascent topic in academic literature. In this paper we propose the concept of the extended data pipeline to support CE visibility. Governments, but also banks and auditing firms can use this visibility to monitor CE flows to design and evaluate instruments and measures to enhance the CE.

Original language	English
Title of host publication	Proceedings of the 22nd Annual International Conference on Digital Government Research
Subtitle of host publication	Digital Innovations for Public Values: Inclusive Collaboration and Community, DGO 2021
Editors	Jooho Lee, Gabriela Viale Pereira, Sungsoo Hwang
Publisher	Association for Computing Machinery (ACM)
Pages	551-553
Number of pages	3
ISBN (Electronic)	978-1-4503-8492-6
DOIs	https://doi.org/10.1145/3463677.3463752
Publication status	Published - 2021
Event	22nd Annual International Conference on Digital Government Research - Omaha, United States Duration: 9 Jun 2021 → 11 Jun 2021 Conference number: 22

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	22nd Annual International Conference on Digital Government Research
Abbreviated title	DG.O’21
Country/Territory	United States
City	Omaha
Period	9/06/21 → 11/06/21

Keywords

Circular economy
Data pipeline
Digital infrastructures
Government
Monitoring
Supply chain
Visibility

UN SDGs

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

Access to Document

10.1145/3463677.3463752

dgo21_CE_publishedFinal published version, 451 KB

Cite this

Rukanova, B. D., Tan, Y., Hamerlinck, R., Heijmann, F., & Ubacht, J. (2021). Extended Data Pipeline for Circular Economy Monitoring. In J. Lee, G. V. Pereira, & S. Hwang (Eds.), Proceedings of the 22nd Annual International Conference on Digital Government Research: Digital Innovations for Public Values: Inclusive Collaboration and Community, DGO 2021 (pp. 551-553). Article 3463752 (ACM International Conference Proceeding Series). Association for Computing Machinery (ACM). https://doi.org/10.1145/3463677.3463752

Rukanova, B.D. ; Tan, Y. ; Hamerlinck, Robin et al. / Extended Data Pipeline for Circular Economy Monitoring. Proceedings of the 22nd Annual International Conference on Digital Government Research: Digital Innovations for Public Values: Inclusive Collaboration and Community, DGO 2021. editor / Jooho Lee ; Gabriela Viale Pereira ; Sungsoo Hwang. Association for Computing Machinery (ACM), 2021. pp. 551-553 (ACM International Conference Proceeding Series).

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abstract = "Circular economy (CE) and sustainability are high on the political agenda of governments nationally and internationally. Governments are developing instruments to stimulate the CE, but without monitoring in place, these measures can be subject to abuse, failing to achieve the desired effects. CE monitoring, however, is still a nascent topic in academic literature. In this paper we propose the concept of the extended data pipeline to support CE visibility. Governments, but also banks and auditing firms can use this visibility to monitor CE flows to design and evaluate instruments and measures to enhance the CE. ",

keywords = "Circular economy, Data pipeline, Digital infrastructures, Government, Monitoring, Supply chain, Visibility",

author = "B.D. Rukanova and Y. Tan and Robin Hamerlinck and Frank Heijmann and J. Ubacht",

year = "2021",

doi = "10.1145/3463677.3463752",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery (ACM)",

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editor = "Jooho Lee and Pereira, {Gabriela Viale} and Sungsoo Hwang",

booktitle = "Proceedings of the 22nd Annual International Conference on Digital Government Research",

address = "United States",

note = "22nd Annual International Conference on Digital Government Research, DG.O{\textquoteright}21 ; Conference date: 09-06-2021 Through 11-06-2021",

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Rukanova, BD , Tan, Y, Hamerlinck, R, Heijmann, F & Ubacht, J 2021, Extended Data Pipeline for Circular Economy Monitoring. in J Lee, GV Pereira & S Hwang (eds), Proceedings of the 22nd Annual International Conference on Digital Government Research: Digital Innovations for Public Values: Inclusive Collaboration and Community, DGO 2021., 3463752, ACM International Conference Proceeding Series, Association for Computing Machinery (ACM), pp. 551-553, 22nd Annual International Conference on Digital Government Research, Omaha, United States, 9/06/21. https://doi.org/10.1145/3463677.3463752

Extended Data Pipeline for Circular Economy Monitoring. / Rukanova, B.D.; Tan, Y.; Hamerlinck, Robin et al.
Proceedings of the 22nd Annual International Conference on Digital Government Research: Digital Innovations for Public Values: Inclusive Collaboration and Community, DGO 2021. ed. / Jooho Lee; Gabriela Viale Pereira; Sungsoo Hwang. Association for Computing Machinery (ACM), 2021. p. 551-553 3463752 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Extended Data Pipeline for Circular Economy Monitoring

AU - Rukanova, B.D.

AU - Tan, Y.

AU - Hamerlinck, Robin

AU - Heijmann, Frank

AU - Ubacht, J.

N1 - Conference code: 22

PY - 2021

Y1 - 2021

N2 - Circular economy (CE) and sustainability are high on the political agenda of governments nationally and internationally. Governments are developing instruments to stimulate the CE, but without monitoring in place, these measures can be subject to abuse, failing to achieve the desired effects. CE monitoring, however, is still a nascent topic in academic literature. In this paper we propose the concept of the extended data pipeline to support CE visibility. Governments, but also banks and auditing firms can use this visibility to monitor CE flows to design and evaluate instruments and measures to enhance the CE.

AB - Circular economy (CE) and sustainability are high on the political agenda of governments nationally and internationally. Governments are developing instruments to stimulate the CE, but without monitoring in place, these measures can be subject to abuse, failing to achieve the desired effects. CE monitoring, however, is still a nascent topic in academic literature. In this paper we propose the concept of the extended data pipeline to support CE visibility. Governments, but also banks and auditing firms can use this visibility to monitor CE flows to design and evaluate instruments and measures to enhance the CE.

KW - Circular economy

KW - Data pipeline

KW - Digital infrastructures

KW - Government

KW - Monitoring

KW - Supply chain

KW - Visibility

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DO - 10.1145/3463677.3463752

M3 - Conference contribution

T3 - ACM International Conference Proceeding Series

SP - 551

EP - 553

BT - Proceedings of the 22nd Annual International Conference on Digital Government Research

A2 - Lee, Jooho

A2 - Pereira, Gabriela Viale

A2 - Hwang, Sungsoo

PB - Association for Computing Machinery (ACM)

T2 - 22nd Annual International Conference on Digital Government Research

Y2 - 9 June 2021 through 11 June 2021

ER -

Rukanova BD , Tan Y, Hamerlinck R, Heijmann F, Ubacht J. Extended Data Pipeline for Circular Economy Monitoring. In Lee J, Pereira GV, Hwang S, editors, Proceedings of the 22nd Annual International Conference on Digital Government Research: Digital Innovations for Public Values: Inclusive Collaboration and Community, DGO 2021. Association for Computing Machinery (ACM). 2021. p. 551-553. 3463752. (ACM International Conference Proceeding Series). doi: 10.1145/3463677.3463752

Extended Data Pipeline for Circular Economy Monitoring

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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