Concept System Building for Data Processing and Management for IoT and Smart Cities and Communities: Case from ITU-T FG-DPM Projects

doi:10.3969/j.issn.1673-8578.2021.02.010

Abstract

Abstract:

Concept system building and terminology work is the foundation for standards making. Terminology work faces grand challenges when its development across multi-discipline and multi-domain. This paper describes the empirical processes of concept system building and terminology work of ITU-T FG-DPM, and introduces a multi-dimensional standards cooperation approach for building a single and unified DPM concept system to facilitate consistency of common understanding about DPM across different working groups and projects. This research has many implications to concept system building and terminology work across multi-discipline and multi-domain, not limited to IoT, smart cities and communities.

Key words: concept system building, terminology work, data processing and management, IoT and smart cities and communities, ITU-T

CLC Number: (数据处理)

WEI Wei, AN Xiaomi. Concept System Building for Data Processing and Management for IoT and Smart Cities and Communities: Case from ITU-T FG-DPM Projects[J]. China Terminology, 2021, 23(2): 70-80.

Figures/Tables 19

References 18

[1]	ITU-T FG-DPM. Focus Group on Data Processing and Management to support IoT and Smart Cities & Communities: SharePoint. [DB/OL].(2019-07)[2020-01-01]. https://extranet.itu.int/sites/itu-t/focusgroups/dpm/SitePages/Home.aspx.
[2]	LI Y. Concept system of terminology of information science and information technologies-A preliminary study[D]. Beijing:Beijing Language and Culture University, 2003.
[3]	ZHANG Y F, QIN X W. How to build science concept system[J]. Journal of Physics Teaching, 2016,34(7):41-44.
[4]	ISO 704:2009. Terminology work—Principles and methodsSO 704:2009. Terminology work—Principles and methods[S]. Switzerland, 2009.
[5]	MARI L, GOODWIN J, JACOBSON E, et al. The definitions of the base units in the revised SI: A terminological analysis[J]. Measurement, 2019,150:106976.
[6]	OUYANG J G. Theory building of core concept and concept system[J]. Journal platform of central China Normal University (Journal of Social Sciences), 2006(3):31-37.
[7]	ISO/IEC Directives Part 1 + IEC Supplement:2020, Procedures for the technical work-Procedures specific to IEC, Annex SK (normative)-Rules for terminology work[S]. Switzerland, 2020: 111-139.
[8]	ITU-T FG-DPM Technical Specification D0.1:2019, “Data Processing and Management for IoT and Smart Cities and Communities: Vocabulary”[S]. Switzerland, 2019.
[9]	ITU-T FG-DPM Technical Specification D0.2:2019. “Data processing and management for IoT and smart cities and communities: methodology for data processing and management concept building”[S]. Switzerland, 2019.
[10]	SAGER J C. Practical course in terminology processing[M]. Amsterdam: John Benjamins Publishing Company, 1990.
[11]	WRIGHT S E, BUDIN G(eds.). Handbook of terminology management: application-oriented terminology management[M]. Amsterdam: John Benjamins Publishing Company, 2001.
[12]	ISO 10241-1:2011, Terminological entries in standards-Part 1: General requirements and examples for presentation[S]. Switzerland, 2019.
[13]	SONG Y, AN X M. Analysis on the Concepts and Conceptual Systems of Smart City in International Standards Based on Terminology Definitions of ISO, ITU-T and IEC[J]. Standard Science, 2018(1):127-132.
[14]	HIGGINS S. The DCC Curation Lifecycle Model[C]. Acm/ieee-cs Joint Conference on Digital Libraries. ACM, 2008.
[15]	ITU-T FG-DPM Technical Specification D1.1:2019. “Use case analysis and requirements for Data Processing and Management to support IoT and Smart Cities and Communities”[S]. Switzerland, 2019.
[16]	ITU-T FG-DPM Technical Specification D2.1:2019, “Data processing and management framework for IoT and smart cities and communities”[S]. Switzerland, 2019.
[17]	ISO 860:2007, Terminology work-Harmonization of concepts and terms[S]. Switzerland, 2007.
[18]	ISO 1087:2019, Terminology work and terminology science-Vocabulary[S]. Switzerland, 2019.

Stages	Formal meeting held	Deliverables	Number of terms
Initial/defining stage	1st Geneva meeting, 17-19, JUL, 2017 2nd Geneva meeting, 20-25, OCT, 2017	N/A FG-DPM-I-098R1 (D0.1)	N/A Initial one contained 26 terms
Extension and selection stage	3rd Brussels meeting, 20-23, FEB, 2018 3rd Brussels meeting, 20-23, FEB, 2018	FG-DPM-I-111 (D0.1) FG-DPM-O-55R1 (D0.1)	Extension to 134 terms Modified to 136 terms
Justification stage	4th Cairo meeting, 1-3, MAY, 2018	FG-DPM-I-160 (D0.1)	Modified to 130 terms
	4th Cairo meeting, 1-3, MAY, 2018	FG-DPM-O-072 (D0.1)	Modified to 130 terms
Continuous justification and application stage	5th Tunis meeting, 17-20, SEP, 2018	FG-DPM-I-178 (D0.1)	A survey of the most commonly used 30 terms for agreements
	5th Tunis meeting, 17-20, SEP, 2018	FG-DPM-O-072 (D0.1)	130 terms identified
	6th Seoul meeting, 14-18, JAN, 2019	FG-DPM-I-223 (D0.1)	72 terms mapped from 12 use cases
	6th Seoul meeting, 14-18, JAN, 2019	FG-DPM-O-113 (D0.1)	176 terms justified
Harmonisation and cooperation stage	7th Geneva meeting, 3-7, APR, 2019	FG-DPM-I-250 (D0.1)
		FG-DPM-I-251 (D0.2)	Terminology work separated into two components
Stages	Formal meeting held	Deliverables	Number of terms
			194 terms were extended in use
	7th Geneva meeting, 3-7, APR, 2019	FG-DPM-O-140R1(D0.1)
		FG-DPM-O-144 (D0.2)	the most commonly used 30 terms were agreed upon
			5 dimensions approach to concept system building were agreed upon: governance;ecosystem;data trust; data lifecycle; data commercialization
	8th Geneva meeting, 16-19, JUL, 2019	FG-DPM-O-172 (D0.1)
		FG-DPM-I-283 (D0.2)	41 terms justified in use
			Consensus achieved of a concept system building with 5 dimensions:governance;ecosystem;data trust;data lifecycle;data commercialization
	8th Geneva meeting, 16-19, JUL, 2019	FG-DPM-TS D0.1
		FG-DPM-TR D0.2	38 core terms agreed upon for common use
			Consensus achieved of a concept system building with 5 dimensional: governance; ecosystem; data trust; data lifecycle; data commercialization

Stages	Formal meeting held	Deliverables	Number of terms
Initial/defining stage	1st Geneva meeting, 17-19, JUL, 2017 2nd Geneva meeting, 20-25, OCT, 2017	N/A FG-DPM-I-098R1 (D0.1)	N/A Initial one contained 26 terms
Extension and selection stage	3rd Brussels meeting, 20-23, FEB, 2018 3rd Brussels meeting, 20-23, FEB, 2018	FG-DPM-I-111 (D0.1) FG-DPM-O-55R1 (D0.1)	Extension to 134 terms Modified to 136 terms
Justification stage	4th Cairo meeting, 1-3, MAY, 2018	FG-DPM-I-160 (D0.1)	Modified to 130 terms
	4th Cairo meeting, 1-3, MAY, 2018	FG-DPM-O-072 (D0.1)	Modified to 130 terms
Continuous justification and application stage	5th Tunis meeting, 17-20, SEP, 2018	FG-DPM-I-178 (D0.1)	A survey of the most commonly used 30 terms for agreements
	5th Tunis meeting, 17-20, SEP, 2018	FG-DPM-O-072 (D0.1)	130 terms identified
	6th Seoul meeting, 14-18, JAN, 2019	FG-DPM-I-223 (D0.1)	72 terms mapped from 12 use cases
	6th Seoul meeting, 14-18, JAN, 2019	FG-DPM-O-113 (D0.1)	176 terms justified
Harmonisation and cooperation stage	7th Geneva meeting, 3-7, APR, 2019	FG-DPM-I-250 (D0.1)
		FG-DPM-I-251 (D0.2)	Terminology work separated into two components
Stages	Formal meeting held	Deliverables	Number of terms
			194 terms were extended in use
	7th Geneva meeting, 3-7, APR, 2019	FG-DPM-O-140R1(D0.1)
		FG-DPM-O-144 (D0.2)	the most commonly used 30 terms were agreed upon
			5 dimensions approach to concept system building were agreed upon: governance;ecosystem;data trust; data lifecycle; data commercialization
	8th Geneva meeting, 16-19, JUL, 2019	FG-DPM-O-172 (D0.1)
		FG-DPM-I-283 (D0.2)	41 terms justified in use
			Consensus achieved of a concept system building with 5 dimensions:governance;ecosystem;data trust;data lifecycle;data commercialization
	8th Geneva meeting, 16-19, JUL, 2019	FG-DPM-TS D0.1
		FG-DPM-TR D0.2	38 core terms agreed upon for common use
			Consensus achieved of a concept system building with 5 dimensional: governance; ecosystem; data trust; data lifecycle; data commercialization

No	DPM dimension	core term of DPM	the code in FG-DPM-TS D0.1
1	governance	blockchain	3.1.2
2		data governance	3.2.5
3		data processing and management (DPM)	3.2.7
4		internet of things	3.1.9
5		scenario	3.1.18
6		smart cities and communities (SC&C)	3.2.11
7	ecosystem	application	3.1.1
8		capability	3.1.3
9		community	3.1.4
10		ecosystem	3.2.9
11		requirement	3.1.15
12		service	3.1.20
13		stakeholder	3.1.22
14		use case	3.1.25
15		use case template	3.1.26
16	data trust	risk	3.1.16
17		safety	3.1.17
18		security	3.1.19
19		trust	3.1.24
20	data lifecycle	closed data	3.2.1
21		data	3.1.5
22		data consistency	3.1.6
23		data management	3.1.7
24		data processing	3.1.8
25		data exchange	3.2.4
26		data sharing	3.2.8
27		interoperability	3.1.10
28		lifecycle	3.1.11
29		minimal interoperability	3.2.10
30		open data	3.2.11
31		personal data	3.1.12
32		processed data	3.1.13
33		raw data	3.1.14
No	DPM dimension	core term of DPM	the code in FG-DPM-TS D0.1
34		shared data	3.1.21
35		thing	3.1.23
36	data commercialization	content owner	3.2.2
37		data commercialization	3.2.3
38		data marketplace	3.2.6

No	DPM dimension	core term of DPM	the code in FG-DPM-TS D0.1
1	governance	blockchain	3.1.2
2		data governance	3.2.5
3		data processing and management (DPM)	3.2.7
4		internet of things	3.1.9
5		scenario	3.1.18
6		smart cities and communities (SC&C)	3.2.11
7	ecosystem	application	3.1.1
8		capability	3.1.3
9		community	3.1.4
10		ecosystem	3.2.9
11		requirement	3.1.15
12		service	3.1.20
13		stakeholder	3.1.22
14		use case	3.1.25
15		use case template	3.1.26
16	data trust	risk	3.1.16
17		safety	3.1.17
18		security	3.1.19
19		trust	3.1.24
20	data lifecycle	closed data	3.2.1
21		data	3.1.5
22		data consistency	3.1.6
23		data management	3.1.7
24		data processing	3.1.8
25		data exchange	3.2.4
26		data sharing	3.2.8
27		interoperability	3.1.10
28		lifecycle	3.1.11
29		minimal interoperability	3.2.10
30		open data	3.2.11
31		personal data	3.1.12
32		processed data	3.1.13
33		raw data	3.1.14
No	DPM dimension	core term of DPM	the code in FG-DPM-TS D0.1
34		shared data	3.1.21
35		thing	3.1.23
36	data commercialization	content owner	3.2.2
37		data commercialization	3.2.3
38		data marketplace	3.2.6

DPM viewpoints	multi-dimensional component	considerations about capabilities for DPM
as a whole	governance	collaborative innovation focus: coordination, cooperation, connectivity; social, digital and physical aspects; multi-dimensional considerations (All WGs)
macro-level-arrangement (Strategic layer, top-down)	ecosystem	people-centric focus: sustainable development; multi-stakeholders’ interests and concerns; various factors impacts’ considerations
micro-level-artefacts (operational layer, bottom-up)	data trust	people-centric focus: security, privacy and governance supporting enablers for trusted data data quality management for trusted data blockchain enablers for trusted data
	data lifecycle	process focus: data processing and use cases data interoperability data attributes and data types data exchange and sharing data model
	data commercialisation	productivity focus: data economy