DIGITAL ARCHIVING AND PRESERVATION OF PERFORMING ARTS HERITAGE
DOI:
https://doi.org/10.29121/shodhkosh.v7.i3s.2026.7331Keywords:
Digital Archiving, Performing Arts Heritage, Cultural Heritage Preservation, Multimedia Documentation, Metadata Management, Digital Cultural Repositories, Cloud-Based Archives, Intangible Cultural Heritage, Digital Preservation Technologies, Cultural Heritage InformaticsAbstract [English]
Dance art, Theatre, music and ritual performances are an important aspect of intangible cultural heritage which aids in identity, tradition and collective memory of people. However, these types of art are dynamic and not definitive and as such, their preservation is hard due to the fact that the performance can at best be preserved in a live situation and then lost over the passage of time due to the lack of a means of documentation. A new access to preservation of performing arts heritage has been created through the use of recording, archiving and dissemination systems due to the development of digital technologies. This paper will look at the present-day approaches to digital preservation of performing arts heritage and also explain how contemporary technologies can be applied to preserve cultural expressions. The paper discusses the traditional forms of documentation, the audio-visual data recording, digital cultural archives, database management systems and online archives. These methods are contrasted and analyzed by evaluation criteria such as preservation accuracy, access to these means, metadata management, performance storage and interaction with the user. Based on the shortcomings identified in the agencies of the existing means, the paper proposes an elaborate digital archiving model of performing arts heritage. The proposed architecture will have multimedia data gathering, computer-based processing, metadata classification and categorization, cloud-based data-storing mechanism and web-based access mechanism. This is a single structure that enables effective documentation, sustained maintenance and access of performing arts information within the global arena. The results of the comparative analysis have demonstrated that the presented framework will radically improve the precision of the preservation, the availability of the data, and communication between users in contrast to the modes of the traditional documentation and the simplistic digital repositories. Other significant challenges of digital preservation as identified in the paper include technological obsolete, metadata standardization, intellectual property problems, and the digital divide. Overall, the proposed model of digital archiving provides a long-term and scalable approach to digital preservation of performing arts heritage. The research is beneficial in the development of the technology-based cultural protection systems and the provision of information to the cultural institutions, researchers and policymakers in the safeguarding of the intangible cultural heritage.
References
Bolognesi, C., and Sorrenti, D. (2023). New Representation Tools in VR and Holographic View. In Beyond Digital Representation: Advanced Experiences in AR and AI for Cultural Heritage and Innovative Design ( 805–820). Springer. https://doi.org/10.1007/978-3-031-36155-5_52 DOI: https://doi.org/10.1007/978-3-031-36155-5_52
Breathnach, C., and Margaria, T. (2025). Digital Humanities and Cultural Heritage in AI and IT-Enabled Environments. In Bridging the Gap Between AI and Reality (AISoLA 2023). Springer. https://doi.org/10.1007/978-3-031-73741-1_1 DOI: https://doi.org/10.1007/978-3-031-73741-1_1
Chalkidou, S., Tokmakidis, P., Patias, P., Georgoula, O., and Arvanitis, A. (2023). Identifying Lost Cultural Heritage Assets from Historic Town Planning Maps: The case of Thessaloniki, Greece. e-Perimetron, 18, 207–223.
Davis, E., and Heravi, B. (2021). Linked Data and Cultural Heritage: A Systematic Review of Participation, Collaboration, and Motivation. Journal on Computing and Cultural Heritage, 14, 1–18. https://doi.org/10.1145/3429458 DOI: https://doi.org/10.1145/3429458
Dingankar, S., Dixit, R., Dhaku Jadhav, K., Bathla, G., Rane, M. E., and Raina, A. (2025). Synthesizing Best Practice Frameworks for Enhancing Financial Literacy Support in Microenterprise Lending. Enterprise Development and Microfinance, 35(1), 263–282. https://doi.org/10.3362/edm.v35i1.21 DOI: https://doi.org/10.3362/1755-1986.25-00015
Gabrijelčič Tomc, H., and Javoršek, D. (2021). Colorimetric Accuracy of Color Reproductions in 3D Scenes. Tehnički Vjesnik, 28, 20–26. https://doi.org/10.17559/TV-20181204101720 DOI: https://doi.org/10.17559/TV-20181204101720
Gervasi, O., Perri, D., Simonetti, M., and Tasso, S. (2022). Strategies for the Digitalization of Cultural Heritage. In International Conference on Computational Science and its Applications ( 486–502). Springer. https://doi.org/10.1007/978-3-031-10592-0_35 DOI: https://doi.org/10.1007/978-3-031-10592-0_35
Gurav, M., Yadav, M., and Taral, M. (2025). Classification of Overlapping Red Blood Cells in Microscopic Blood Smear Images Using Deep Learning. IJACECT, 14(2), 37–47. https://doi.org/10.65521/ijacect.v14i2.1269 DOI: https://doi.org/10.65521/ijacect.v14i2.1269
Hazarika, I., Saoji, S., Bhandari, R. B., Jorvekar, G., Rao, P. H., and Porwal, T. (2025). Mapping Resilience Pathways: A Conceptual Framework for Portfolio Risk Management in Microenterprise Lending During Economic Shocks. Enterprise Development and Microfinance, 35(1), 1–20. https://doi.org/10.3362/edm.v35i1.5 DOI: https://doi.org/10.3362/1755-1986.25-00001
Hu, L., and Olivieri, M. (2020). Cultural Heritage on Social Media: The Case of the National Museum of Science and Technology Leonardo da Vinci in Milan. In Digital Transformation in the Cultural and Creative Industries ( 211–223). Routledge. https://doi.org/10.4324/9780429329852-16 DOI: https://doi.org/10.4324/9780429329852-16
Karthikeyan, J., Vasanthan, R., Sundari, P. S., Nandhini, T. J., and Devi, V. C. (2023). Construction and Implementation of English Translation Simulation Training Classroom Based on Deep Learning. In Proceedings of the 2nd International Conference on Smart Technologies for Smart Nation (SmartTechCon 2023) ( 716–719). https://doi.org/10.1109/SmartTechCon57526.2023.10391666 DOI: https://doi.org/10.1109/SmartTechCon57526.2023.10391666
Karwande, V. S., Pawar, U. B., and Pattnaik, O. (2024). Leveraging Speech-Driven Patterns Multimodal Machine Learning Framework for Accurate Early-Stage Parkinson’s Disease Prediction: A Survey. In Proceedings of the 2nd International Conference on Advanced Computing and Communication Technologies (ICACCTech 2024) ( 525–532). https://doi.org/10.1109/ICACCTech65084.2024.00091 DOI: https://doi.org/10.1109/ICACCTech65084.2024.00091
Katifori, A., Antoniou, A., Damala, A., and Raftopoulou, P. (2023). Editorial for the Special Issue “Advanced Technologies in Digitizing Cultural Heritage.” Applied Sciences, 13, 5873. https://doi.org/10.3390/app13105873 DOI: https://doi.org/10.3390/app13105873
Lian, Y., and Xie, J. (2024). The Evolution of Digital Cultural Heritage Research: Identifying Key Trends, Hotspots, and Challenges through Bibliometric Analysis. Sustainability, 16(7125). https://doi.org/10.3390/su16167125 DOI: https://doi.org/10.3390/su16167125
Liao, H. T., Zhao, M., and Sun, S. P. (2020). A Literature Review of Museum and Heritage on Digitization, Digitalization, and Digital Transformation. In Proceedings of the 6th International Conference on Humanities and Social Science Research (ICHSSR) ( 473–476). https://doi.org/10.2991/assehr.k.200428.101 DOI: https://doi.org/10.2991/assehr.k.200428.101
Navarrete, T. (2020). Crowdsourcing the Digital Transformation of Heritage. In Digital Transformation in the Cultural and Creative Industries ( 99–116). Routledge. https://doi.org/10.4324/9780429329852-9 DOI: https://doi.org/10.4324/9780429329852-9
Pandey, R., and Kumar, V. (2020). Exploring the Impediments to Digitization and Digital Preservation of Cultural Heritage Resources: A Selective Review. Preservation, Digital Technology and Culture, 49, 26–37. https://doi.org/10.1515/pdtc-2020-0006 DOI: https://doi.org/10.1515/pdtc-2020-0006
Park, J. J., Kim, E. Y., Lim, S. Y., and Jun, H. J. (2022). Development of a Customized Bim-Based Architectural Design Service Platform for Architectural Design Practitioners. Journal of the Architectural Institute of Korea, 38, 59–66.
Rasmussen, C. H., Rydbeck, K., and Larsen, H. (Eds.). (2022). Libraries, Archives, and Museums in Transition: Changes, Challenges, and Convergence in a Scandinavian Perspective (1st ed.). Routledge. https://doi.org/10.4324/9781003188834-1 DOI: https://doi.org/10.4324/9781003188834-1
Rawandale, U. S., Ganorkar, S. R., and Kolte, M. T. (2022). Audiogram Study in Filter Bank Used for Hearing Aid System to Enhance Performance. In 2022 6th International Conference on Computing, Communication, Control and Automation (ICCUBEA) ( 1–4). https://doi.org/10.1109/ICCUBEA54992.2022.10010832 DOI: https://doi.org/10.1109/ICCUBEA54992.2022.10010832
Suri, S., Lakshman, K., Goyal, E., Goyal, G., Sood, G., Mirajkar, G. S., and Anerao, P. (2025). Emotion Modeling in Sculpture Design Using Neural Networks. ShodhKosh: Journal of Visual and Performing Arts, 3(3s), 31–40. https://doi.org/10.29121/shodhkosh.v6.i3s.2025.6756 DOI: https://doi.org/10.29121/shodhkosh.v6.i3s.2025.6756
Tasovac, T., Chambers, S., and Tóth-Czifra, E. (2020). Cultural Heritage Data from a Humanities Research Perspective: A DARIAH Position Paper.
Valeonti, F., Vlachidis, A., Nyhan, J., Bikakis, A., Kotarski, R., and Jovanovic, P. (2024). Decentralising Digital Humanities: Exploring Blockchain Technology and Web3 for the Sloane Lab and Towards a National Collection (TaNC). Journal of Documentation. Advance online publication. https://doi.org/10.1108/JD-04-2024-0093 DOI: https://doi.org/10.1108/JD-04-2024-0093
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Priyadharshini K, Shanthi P, Damodaran B, Sugasri Sureshkumar, Mohana Thiruchenduran, Mahendran Arumugam
This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
