Journal of Korean Society of Archives and Records Management 2023 KCI Impact Factor : 0.81
-
pISSN : 1598-1487 / eISSN : 2671-7247
- https://journal.kci.go.kr/jksarm
KJCKorea
Journal Central
FAIR Principles: Considerations for Implementing Digital Archives from a Data Perspective
- Journal of Korean Society of Archives and Records Management
- Abbr : JRMASK
- 2021, 21(2), pp.155~172
- DOI : 10.14404/JKSARM.2021.21.2.155
- Publisher : Korean Society of Archives and Records Management
- Research Area : Interdisciplinary Studies > Library and Information Science > Archival Studies / Conservation
- Received : April 20, 2021
- Accepted : May 10, 2021
- Published : May 31, 2021
1중앙대학교
Accredited
ABSTRACT
Digital archives are electronic storages used to preserve and utilize digital resources sustainably. Theoretical research on digital archives is being conducted actively, and digital archives for recording various resources in heterogeneous domains are being built and serviced. However, although the original purpose of digitizing the resources of digital archives is achievable, the discovery and reuse are still limited. This study examines the Findable, Accessible, Interoperable, and Reusable (FAIR) data principles in detail and proposes a maturity assessment framework for digital archives. The FAIR Data Principles is a set of guidelines that enable machines to read and understand digital resources that are applied to any online resource. The evaluation model of the FAIR data principle defines the planning and application stages separately. However, criteria for evaluating the application of individual principles are still ambiguous, and discussions on evaluation criteria for the field of digital archives are insufficient. This study proposes a framework for applying the FAIR data principle to digital archives and discusses issues for future application.
Statistics
-
1,162 Viewed
-
414 Downloaded
Tools
Issue List
Citation status
* References for papers published after 2023 are currently being built.
[other]
국가과학기술연구회
/ 2019
/ 연구데이터 관리 가이드라인
/ 국가과학기술연구회
[journal]
김성욱
/ 2020
/
A Study on the Research Data Management Methods for the Condensed Matter Physics
/ 정보관리학회지
/ 한국정보관리학회
37(3)
: 77~106
[journal]
김성훈
/ 2018
/
Key Factors in the Implementation of Research Data Management Services
/ 정보관리학회지
/ 한국정보관리학회
35(2)
: 141~165
[journal]
김유승
/ 2010
/
A Theoretical Study on Establishing Archive 2.0
/ 한국기록관리학회지
/ 한국기록관리학회
10(2)
: 31~52
[book]
김학래
/ 2017
/ 지식그래프
/ 커뮤니케이션북스
[journal]
박옥남
/ 2012
/
A Study on Developing Preservation Metadata Based on PREMIS Focusing on Digital Data in National Library of Korea
/ 한국문헌정보학회지
/ 한국문헌정보학회
46(2)
: 83~113
[journal]
박희진
/ 2018
/
A Study of a Digital Archiving Model based on E-ARK
/ 정보관리학회지
/ 한국정보관리학회
35(1)
: 83~101
[journal]
신재민
/ 2013
/
A Review of Literature and Cases for Developing Digital Content Archives
/ 사회과학연구
/ 사회과학연구소
24(1)
: 305~330
[journal]
이규철
/ 2020
/ 디지털 아카이브의 발전과 구축 동향
/ 건축
64(5)
: 35~38
[journal]
이소연
/ 2002
/
Standardization of Digital Archiving and OAIS Reference Model
/ Journal of Information Science Theory and Practice
/ 한국과학기술정보연구원
33(3)
: 45~68
[journal]
이소연
/ 2013
/
Trends Analysis of Digital Preservation Research in Korea
/ 한국기록관리학회지
/ 한국기록관리학회
13(2)
: 247~283
[journal]
최명석
/ 2017
/
Research Data Management of Science and Technology Research Institutes in Korea
/ 한국콘텐츠학회 논문지
/ 한국콘텐츠학회
17(12)
: 117~126
[book]
한국기록관리학회
/ 2020
/ 기록관리의 이론과 실제
/ 조은글터
[web]
AFAWG
/ 2017
/ Policy statement on F.A.I.R. access to Austrailia’s research outputs
/ https://www.fair-access.net.au/fair-statement
[web]
ARDC
/ 2021
/ SATIFYD: Self-Assessment Tool to Improve the FAIRness of Your Dataset
/ https://ardc.edu.au/resources/working-with-data/fair-data/fair-self-assessment-tool/
[journal]
Bahim, C.
/ 2020
/ The FAIR Data Maturity Model: An Approach to Harmonise FAIR Assessments
/ Data Science Journal
19(1)
: 41~
[journal]
Barbuti, N.
/ 2020
/ Thinking digital libraries for preservation as digital cultural heritage: by R to R4 facet of FAIR principles
/ International Journal on Digital Libraries
: 1~10
[web]
Berners-Lee, T.
/ 2006
/ Design Issues: Linked Data
/ https://www.w3.org/DesignIssues/LinkedData.html
[journal]
Boeckhout, M.
/ 2018
/ The FAIR guiding principles for data stewardship: fair enough?
/ European journal of human genetics: EJHG
26(7)
: 931~936
[journal]
Calamai, S.
/ 2018
/ FAIR data principles and their application to speech and oral archives
/ Journal of New Music Research
47
: 339~354
[journal]
Candela, G.
/ 2020
/ Reusing digital collections from GLAM institutions
/ Journal of Information Science
[other]
Collins, S.
/ 2018
/ Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data
[journal]
Corpas M
/ 2018
/ A FAIR guide for data providers to maximise sharing of human genomic data
/ PLoS Comput Biol
14(3)
: e1005873~
[journal]
Cousijn, H.
/ 2018
/ A data citation roadmap for scientific publishers
/ Scientific Data
5
[web]
DANS
/ 2021
/ FAIR self assessment tool
/ https://satifyd.dans.knaw.nl/
[journal]
David, R.
/ 2020
/ FAIRness Literacy: The Achilles’ Heel of Applying FAIR Principles
/ Data Science Journal
19(1)
: 32~
[other]
Devaraju, A.
/ 2020
/ FAIRsFAIR Data Object Assessment Metrics (Version 0.4)
[journal]
Devaraju, A.
/ 2021
/ From Conceptualization to Implementation: FAIR Assessment of Research Data Objects
/ Data Science Journal
20(1)
: 4~
[web]
DTL
/ 2021
/ European Commission embraces the FAIR principles
/ https://www.dtls.nl/2016/04/20/european-commission-allocates-e2-billion-to-make-research-data-fair/
[web]
EU
/ 2016
/ G20 Leaders’ Communique Hangzhou Summit
/ https://ec.europa.eu/commission/presscorner/detail/en/STATEMENT_16_2967
[web]
FAIRMetrics
/ 2021
/ FAIR Maturity Indicators and Tools
/ https://github.com/FAIRMetrics/Metrics
[web]
FORCE11
/ 2016
/ The FAIR Data Principles
/ https://www.force11.org/group/fairgroup/fairprinciples
[web]
GO FAIR
/ 2021
/ FAIRification process
/ https://www.go-fair.org/fair-principles/fairification-process/
[web]
Government of the Netherlands
/ 2017
/ Progress towards the European Open Science Cloud
/ https://www.government.nl/latest/news/2017/12/01/progress-towards-the-european-open-science-cloud
[journal]
Guizzardi, G.
/ 2020
/ Ontology, Ontologies and the “I” of FAIR
/ Data Intelligence
2
: 181~191
[journal]
Hall, W.
/ 2012
/ Web evolution and Web Science
/ Computer Networks
56
: 3859~3865
[journal]
Haux, C.
/ 2019
/ Using FAIR Metadata for Secondary Use of Administrative Claims Data
/ Studies in health technology and informatics
264
: 1472~1473
[journal]
Helliwell, J. R.
/ 2019
/ Findable Accessible Interoperable Re-usable(FAIR) diffraction data are coming to protein crystallography
/ Journal of applied crystallography
52(Pt 3)
: 495~497
[journal]
Hettne, K. M.
/ 2020
/ From FAIR Leading Practices to FAIR Implementation and Back: An Inclusive Approach to FAIR at Leiden University Libraries
/ Data Science Journal
19(1)
: 40~
[journal]
Jacobsen, A.
/ 2019
/ A Generic Workflow for the Data FAIRification Process
/ Data Intelligence
2(1-2)
: 56~65
[journal]
Koster, L.
/ 2018
/ FAIR Principles for Library, Archive and Museum Collections: A proposal for standards for reusable collections
/ Code4Lib Journal
40
[journal]
Mons, B.
/ 2017
/ Cloudy, increasingly FAIR; Revisiting the FAIR Data guiding principles for the European Open Science Cloud
/ Information Services and Use
37(1)
: 49~56
[journal]
Nitecki, D. A.
/ 2021
/ Leading FAIR Adoption Across the Institution: A Collaboration Between an Academic Library and a Technology Provider
/ Data Science Journal
20(1)
: 6~
[journal]
Niu, J.
/ 2016
/ Linked Data for Archives
/ Archivaria
82
: 83~110
[journal]
Sinaci, A. A.
/ 2020
/ From Raw Data to FAIR Data: The FAIRification Workflow for Health Research
/ Methods of information in medicine
59(S 01)
: e21~e32
[journal]
Stall, S.
/ 2019
/ Make scientific data FAIR
/ Nature
570(7759)
: 27~29
[journal]
Wilkinson, M. D.
/ 2016
/ The FAIR Guiding Principles for scientific data management and stewardship
/ Scientific data
3
: 160018~
[journal]
Wilkinson, M. D.
/ 2019
/ Evaluating FAIR maturity through a scalable, automated, community-governed framework
/ Scientific Data
6(174)
: 1~12
This paper was written with support from the National Research Foundation of Korea.