최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국기록관리학회지 = Journal of Korean Society of Archives and Records Management, v.21 no.2, 2021년, pp.155 - 172
김학래 (중앙대학교 사회과학대학 문헌정보학과)
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...
Kim, Haklae (2017). Knowledge Graph. Seoul: CommunicationBooks, Inc. https://doi.org/10.979.11288/05141
Korean Society of Archives and Records Management (2020). Records and Archives Management: Theory and Practice. Goodwriting Publishing.
Lee, Geauchul (2020). Development and Current Trend of Digital Archive. Review of Architecture and Building Science, 64(5), 35-38.
National Research Council of Science & Technology (2019). Guidelines of Research Data Management. National Research Council of Science & Technology.
Shin, J. & Kwak, S. (2013). A Review of Literature and Cases for Developing Digital Content Archives. Journal of Social Science, 24(1), 305-330.
AFAWG (2017). Policy statement on F.A.I.R. access to Austrailia's research outputs. Retrieved April 19, 2021, Available: https://www.fair-access.net.au/fair-statement
ARDC (2021). SATIFYD: Self-Assessment Tool to Improve the FAIRness of Your Dataset. Retrieved May 12, 2021, Available: https://ardc.edu.au/resources/working-with-data/fair-data/fair-self-assessment-tool/
Bahim, C., Casorran-Amilburu, C., Dekkers, M., Herczog, E., Loozen, N., Repanas, K., Russell, K., & Stall, S. (2020). The FAIR Data Maturity Model: An Approach to Harmonise FAIR Assessments. Data Science Journal, 19(1), 41. http://doi.org/10.5334/dsj-2020-041
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. https://doi.org/10.1007/s00799-020-00291-7
Berners-Lee, T. (2006). Design Issues: Linked Data. Retrieved April 19, 2021, Available: https://www.w3.org/DesignIssues/LinkedData.html
Boeckhout, M., Zielhuis, G. A., & Bredenoord, A. L. (2018). The FAIR guiding principles for data stewardship: fair enough?. European journal of human genetics: EJHG, 26(7), 931-936. https://doi.org/10.1038/s41431-018-0160-0
Calamai, S. & Frontini, F. (2018). FAIR data principles and their application to speech and oral archives. Journal of New Music Research, 47, 339-354.
Collins, S., Genova, F., Harrower, N., Hodson, S., Jones, S., Loaksonen, L., Mietchen, D., Petrauskaite, R., & Wittenburg, P. (2018). Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data. http://dx.doi.org/10.2777/1524
Corpas M, Kovalevskaya NV, McMurray A, & Nielsen FGG (2018). A FAIR guide for data providers to maximise sharing of human genomic data. PLoS Comput Biol, 14(3), e1005873. https://doi.org/10.1371/journal.pcbi.1005873
Cousijn, H., Kenall, A., Ganley, E., Harrison, M., Kernohan, D., Lemberger, T., Murphy, F., Polischuk, P., Taylor, S., Martone, M., & Clark, T. (2018). A data citation roadmap for scientific publishers. Scientific Data, 5. https://doi.org/10.1038/sdata.2018.259
DANS (2021). FAIR self assessment tool. Retrieved May 12, 2021, Available: https://satifyd.dans.knaw.nl/
David, R., Mabile, L., Specht, A., Stryeck, S., Thomsen, M., Yahia, M., Jonquet, C., Dolle, L., Jacob, D., Bailo, D., Bravo, E., Gachet, S., Gunderman, H., Hollebecq, J. E., Ioannidis, V., Bras, Y. L, Lerigoleur, E., & Cambon-Thomsen, A. (2020). FAIRness Literacy: The Achilles' Heel of Applying FAIR Principles. Data Science Journal, 19(1), 32. https://doi.org/10.5334/dsj-2020-032
Devaraju, A., Huber, R., Mokrane, M., Herterich, P., Cepinskas, L., Vries, J., L'Hours, H., Davidson, J., & Whyte, A. (2020). FAIRsFAIR Data Object Assessment Metrics (Version 0.4). https://doi.org/10.5281/zenodo.4081213
Devaraju, A., Mokrane, M., Cepinskas, L., Huber, R., Herterich, P., de Vries, J., Akerman, V., L'Hours, H., Davidson, J., & Diepenbroek, M. (2021). From Conceptualization to Implementation: FAIR Assessment of Research Data Objects. Data Science Journal, 20(1), 4. http://doi.org/10.5334/dsj-2021-004
DTL (2021). European Commission embraces the FAIR principles. Retrieved April 19, 2021, Available: https://www.dtls.nl/2016/04/20/european-commission-allocates-e2-billion-to-make-research-data-fair/
EU (2016). G20 Leaders' Communique Hangzhou Summit. Retrieved April 19, 2021, Available: https://ec.europa.eu/commission/presscorner/detail/en/STATEMENT_16_2967
FAIRMetrics (2021). FAIR Maturity Indicators and Tools. Retrieved May 12, 2021, Available: https://github.com/FAIRMetrics/Metrics
FORCE11 (2016). The FAIR Data Principles. Retrieved April 19, 2021, Available: https://www.force11.org/group/fairgroup/fairprinciples
GO FAIR (2021). FAIRification process. Retrieved April 19, 2021, Available: https://www.go-fair.org/fair-principles/fairification-process/
Government of the Netherlands (2017). Progress towards the European Open Science Cloud. Retrieved April 19, 2021, Available: https://www.government.nl/latest/news/2017/12/01/progress-towards-the-european-open-science-cloud
Guizzardi, G. (2020). Ontology, Ontologies and the "I" of FAIR. Data Intelligence, 2, 181-191. https://doi.org/10.1162/dint_a_00040
Hall, W. & Tiropanis, T. (2012). Web evolution and Web Science. Computer Networks, 56, 3859-3865.
Helliwell, J. R., Minor, W., Weiss, M. S., Garman, E. F., Read, R. J., Newman, J., Raaij, M. J., Hajdu, J., & Baker, E. N. (2019). Findable Accessible Interoperable Re-usable(FAIR) diffraction data are coming to protein crystallography. Journal of applied crystallography, 52(Pt 3), 495-497. https://doi.org/10.1107/S2052252519005918
Hettne, K. M., Verhaar, P., Schultes, E., & Sesink, L. (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. http://doi.org/10.5334/dsj-2020-040
Jacobsen, A., Kaliyaperumal, R., Bonino, S., Mons, B., Schultes, E., Roos, M., & Thompson, M. (2019). A Generic Workflow for the Data FAIRification Process. Data Intelligence. 2(1-2). 56-65. https://doi.org/10.1162/dint_a_00028
Koster, L. & Woutersen-Windhouwer, S. (2018). FAIR Principles for Library, Archive and Museum Collections: A proposal for standards for reusable collections. Code4Lib Journal, 40. http://journal.code4lib.org/articles/13427
Mons, B., Neylon, C., Velterop, J., Dumontier, M., Da Silva Santos, L. O. B., & Wilkinson, M. D. (2017). Cloudy, increasingly FAIR; Revisiting the FAIR Data guiding principles for the European Open Science Cloud. Information Services and Use, 37(1), 49-56. https://doi.org/10.3233/ISU-170824
Nitecki, D. A. & Alter, A. (2021). Leading FAIR Adoption Across the Institution: A Collaboration Between an Academic Library and a Technology Provider. Data Science Journal, 20(1), 6. http://doi.org/10.5334/dsj-2021-006
Niu, J. (2016). Linked Data for Archives. Archivaria, 82, 83-110. https://www.muse.jhu.edu/article/687083.
Sinaci, A. A., Nunez-Benjumea, F. J., & Gencturk, M., et al. (2020). From Raw Data to FAIR Data: The FAIRification Workflow for Health Research. Methods of information in medicine, 59(S 01), e21-e32. doi:10.1055/s-0040-1713684
Stall, S., Yarmey, L., Cutcher-Gershenfeld, J., Hanson, B., Lehnert, K., Nosek, B., Parsons, M., Robinson, E., & Wyborn, L. (2019). Make scientific data FAIR. Nature, 570(7759), 27-29. https://doi.org/10.1038/d41586-019-01720-7
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific data, 3, 160018. https://doi.org/10.1038/sdata.2016.18
Wilkinson, M. D., Dumontier, M., Sansone, S. A., Prieto, M., Batisata, D., McQuilton, P., Kuhn, T., Rocca-Serra, P., Crosas, M., & Schultes, E. (2019). Evaluating FAIR maturity through a scalable, automated, community-governed framework. Scientific Data, 6(174), 1-12. https://doi.org/10.1038/s41597-019-0184-5
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.