计算档案学的建构空间研究——基于概念基础与实践表现的综合分析

doi:10.16065/j.cnki.issn1002-1620.2023.01.003

档案学研究

2023, Vol. 37

Issue (1): 25-34 DOI: 10.16065/j.cnki.issn1002-1620.2023.01.003

基础理论研究

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计算档案学的建构空间研究——基于概念基础与实践表现的综合分析

周文泓¹,贺谭涛¹,陈淑涵²,黄思诗²

1 中国人民大学信息资源管理学院北京 100872
2 四川大学公共管理学院成都 610064

Research on the Construction Space of Computational Archival Science ：Comprehensive Analysis Based on Conceptual Basis and Practical Performance

ZHOU Wenhong¹,HE Tantao¹,CHEN Shuhan²,HUANG Sishi²

1 School of Information Resource Management, Renmin University of China, Beijing 100872
2 School of Public Administration, Sichuan University, Chengdu 610064

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摘要:

本文对计算档案学概念基础和实践案例的探索，旨在发现在新文科建设背景下，该研究领域的发展进程和空间。通过梳理计算档案学的已有成果，于理论层面明确其跨学科属性、学科融合的基本内容以及计算科学贡献于该领域的核心要义；于实践层面发现计算档案学的应用表现：跨学科属性驱动异质主体协同参与、数据化情境赋予多元泛在对象、融合计算思维再造档案管理活动。由此，对计算档案学的建构空间提出展望：对接新文科明晰发展方向、顺应数据化趋势夯实概念基础、融合多学科要义拓展内容体系。

关键词 ：计算档案学, 新文科, 计算思维, 数字转型

Abstract：

The conceptual basis and practical cases of computational archival science（CAS）are explored to identify the main points and development space CAS of in the context of the new liberal arts construction. Based on the results of CAS, at the theoretical level, its interdisciplinary properties, the basic content of disciplinary integration, and the core contribution of computational science to the field are clear. At the practical level, the concrete application manifestations of CAS to archival practice are discovered: the interdisciplinary properties drive the collaborative participation of heterogeneous subjects, the data-based contexts empower multiple ubiquitous objects, and the integration of computational thinking reengineers archival management activities.In this regard, visions of the constructive space of CAS are proposed: clarifying the development direction in line with the new liberal arts, consolidating the conceptual foundation in response to the trend of datafication, and expanding the content system by integrating the key elements of multiple disciplines.

Key words： computational archival science new liberal arts computational thinking digital transformation

出版日期: 2024-02-22

通讯作者: 贺谭涛

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引用本文:

周文泓, 贺谭涛, 陈淑涵, 黄思诗. 计算档案学的建构空间研究——基于概念基础与实践表现的综合分析[J]. 档案学研究, 2023, 37(1): 25-34.
ZHOU Wenhong, HE Tantao, CHEN Shuhan, HUANG Sishi. Research on the Construction Space of Computational Archival Science ：Comprehensive Analysis Based on Conceptual Basis and Practical Performance. Archives Science Study, 2023, 37(1): 25-34.

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http://journal12.magtechjournal.com/Jwk_dax/CN/10.16065/j.cnki.issn1002-1620.2023.01.003 或 http://journal12.magtechjournal.com/Jwk_dax/CN/Y2023/V37/I1/25

[1]	中共中央办公厅,国务院办公厅. “十四五”全国档案事业发展规划[EB/OL].(2021-06-09)[2021-08-16]. https://www.saac.gov.cn/daj/toutiao/202106/ecca2de5bce44a0eb55c890762868683.shtml.
[2]	[9][12] PAYNE N. Stirring the cauldron:redefining computational archival science(CAS)for the big data domain[EB/OL].(2018-12-12)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/03/4.Payne_.pdf.
[3]	MARCIANO R, LEMIEUX V, HEDGES M, et al. Re-envisioning the MIS:perspectives on the future of library and information science education[EB/OL].(2018-05-17)[2021-08-16]. https://books.emeraldinsight.com/resources/pdfs/chapters/9781787548855-TYPE23-NR2.pdf.
[4]	[13] UNDERWOOD W. Computational thinking in archival science research and education[EB/OL].(2019-12-11)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2021/03/Underwood.pdf.
[5]	Computational Archival Science Educational System. CASE projects[EB/OL]. [2021-08-16]. https://cases.umd.edu/.
[6]	SMITH T. The blockchain litmus test[EB/OL].(2018-12-12)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/03/11.Smith_.pdf.
[7]	KIRáLY P. Measuring completeness as metadata quality metric in Europeana[EB/OL].(2018-12-12)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/03/7.Kiraly.pdf.
[8]	WILLIAMS L. What computational archival science can learn from art history and material culture studies[EB/OL].(2019-12-11)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/02/Williams.pdf.
[10]	[38] JANSEN G, MARCIANO R. Using data partitions and stateless serversto scale up fedora repositories[EB/OL].(2019-12-11)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/02/Jansen-Marciano.pdf.
[11]	MAX-NEEF M A. Foundations of transdisciplinarity[J]. Ecological Economics, 2005(1):5-16.
[14]	Advanced Information Collaboratory. CAS portal[EB/OL]. [2021-08-16]. https://ai-collaboratory.net/cas/.
[15]	[40] LEMIEUX V. A typology of blockchain recordkeeping solutions and some reflections on their implications for the future of archival preservation[EB/OL].(2017-12-13)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/04/Lemieux.pdf.
[16]	MARCIANO R, AGARRAT S, FRISCH S, et al. Reframing digital curation practices through a computational thinking framework[EB/OL].(2019-12-11)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/04/ReframingDC-UsingCT_final.pdf.
[17]	HENGCHEN S, COECKELBERS M, HOOLAND S, et al. Exploring archives with probabilistic models:topic modelling for the valorisation of digitised archives of the European Commission[EB/OL].(2016-12-08)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/04/1.pdf.
[18]	RANADE S. Traces Through Time:a probabilistic approach to connected archival data[EB/OL].(2016-12-08)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/04/2.pdf.
[19]	SHALLCROSS M. Appraising digital archives with Archivematica[EB/OL].(2016-12-08)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/04/9.pdf.
[20]	LEE M, ZHANG Y, CHEN S, et al. Heuristics for assessing computational archival science(CAS)research:the case of the Human Face of Big Data project[EB/OL].(2017-12-13)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/04/Myeong_Lee.pdf.
[21]	GOODMANN E, MATIENZO M, VANCOUR S, et al. Building the national radio recordings database:a big data approach to documenting audio heritage[EB/OL].(2019-12-11)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/02/VanCour.pdf.
[22]	LIN J P. An infrastructure and application of computational archival science to enrich and integrate big digital archival data:using Taiwan Indigenous Peoples Open Research Data(TIPD)as an example[EB/OL].(2017-12-13)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/04/Lin.pdf.
[23]	MAEMURA E, BECKER C, MILLIGAN I. Understanding computational web archives research methods using research objects[EB/OL].(2016-12-08)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/04/8.pdf.
[24]	ANDERSON B, PROM C, HAMILTON K, et al. The Cybernetics Thought Collective project:using computational methods to reveal intellectual context in archival material[EB/OL].(2017-12-13)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/04/Anderson.pdf.
[25]	陈雪燕, 于英香. 从档案管理走向档案数据管理:大数据时代下的档案管理范式转型[J]. 山西档案, 2019(5):24-32.
[26]	PERINE L, GNANASEKARAN R, NICHOLAS P, et al. Computational treatments to recover erased heritage:a legacy of slavery case study(CT-LoS)[EB/OL].(2020-12-11)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/11/Perine.pdf.
[27]	Blockchain@UBC. About us[EB/OL]. [2021-08-16]. https://blockchain.ubc.ca/about-us.
[28]	BRYANT M, REIJNHOUDT L, SIMEONOV S. In-place synchronisation of hierarchical archival descriptions[EB/OL].(2018-12-12)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/03/8.Bryant.pdf.
[29]	University of Illinois Archives. The Cybernetics Thought Collective (digital surrogates)[EB/OL]. [2021-08-16]. https://digital.library.illinois.edu/collections/38ec6eb0-18c3-0135-242c-0050569601ca-1.
[30]	LIN J P, LEE M C, CHONG H H, et al. TIPD:Taiwan Indigenous Peoples Open Research Data[EB/OL].(2021-03-04)[2021-08-16]. https://osf.io/e4rvz/.
[31]	BLANKE T, WILSON J. Identifying epochs in text archives[EB/OL].(2017-12-13)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/04/Blanke.pdf.
[32]	DUGENIE P, FREIRE N, BROEDER D. Building new knowledge from distributed scientific corpus HERBADROP & EUROPEANA two concrete case studies for exploring big archival data[EB/OL].(2017-12-13)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/04/Dugenie.pdf.
[33]	JANSEN G. Digital legacies on paper:reading punchcards with computer vision[EB/OL].(2019-12-11)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/02/Jansen.pdf.
[34]	YIN Z, FAN L, YU H, et al. Using a Three-step Social Media Similarity(TSMS)mapping method to analyze controversial speech relating to COVID-19 in twitter collections[EB/OL].(2020-12-11)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/11/Yin.pdf.
[35]	UNDERWOOD W. Automatic extraction of Dublin Core Metadata from presidential E-records[EB/OL].(2020-12-11)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/11/Underwood.pdf.
[36]	HOLZMANN H, GOEL V, GUSTAINIS E. ArchiveSpark: efficient web archive access,extraction and derivation[EB/OL].(2017-12-13)[2021-08-16]. http://l3s.de/-holzmann/papers/archivespark2017bigdata.pdf.
[37]	WIGHAM M, MELGAR L, ORDELMAN R. Jupyter Notebooks for generous archive interfaces[EB/OL].(2018-12-12)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/03/13.Wigham.pdf.
[39]	于志莹, 于英香. 区块链技术在电子文件四性维护中的适用性及其路径探析[J]. 山西档案, 2021(1):27-34.
[41]	BATISTA D, WEING?RTNER T. ArchContract:using smart contracts for disposition[EB/OL].(2019-12-11)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/02/Batista.pdf.
[42]	MIKSA T, CARDOSO J, BORBINHA J. Framing the scope of the common data model for machine-actionable data management plans[EB/OL].(2018-12-12)[2021-08-16]. https://ai-collaboratory.net/wp-content/uploads/2020/03/10.Miksa_.pdf.

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[2]	苏焕宁. 数字转型中的电子文件归档：坚守本质与适应变化[J]. 档案学研究, 2022, 36(5): 116-122.
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[7]	白文琳, 安小米. 2014年我国档案学研究现状、学术热点及趋势[J]. 档案学研究, 2016, 30(3): 12-15.

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