Subjects: Library Science，Information Science >> Literature Work submitted time 2024-01-11
Abstract： Purpose/Significance The research of documentation requirements in cultural heritage protection policies aims to clarify general situation of their structure and content. Method/Process The study adopts network literature survey and policy content analysis methods to refine, summarize and analyze the documentation requirements in a total of 147 policies. Result/Conclusion It is found that, with development of these policies in China, the framework of cultural heritage documentation policies has been shown including the prominent needs of documentation, the synergistic participation of multiple stakeholders, expanding and detailed documentation objects, access-oriented cultural heritage archiving activities, and sustained and complete safeguard measures. In all, Documentation has been becoming an indispensable and fundamental part of cultural heritage protection. In the future, there is a need to further strengthen the systematization and relevance, the professionalism and digital transformation-oriented design of policies.
Peer Review Status:
Awaiting Review
Subjects: Library Science，Information Science >> Library Science submitted time 2023-02-15
Abstract： [Purpose/significance] This paper explores the role of records and archives (R&A) departments in data management and the approaches for R&A departments to engage with data management in order to provide a solid theoretical foundation for R&A departments to improve their performance and make a meaningful contribution to the data society. [Method/process] Using systematic review methodology, this paper selected and analyzed 104 literature on R&A departments engaging with data management. [Result/conclusion] The results of the analysis revealed that R&A departments have three distinct roles in data management: they serve as receiver, guide and integrator. As a receiver, the R&A department connects the data lifecycle with the records lifecycle through data filing. As a guide, the R&A department uses archival theories and methods such as provenance principle, appraisal, continuity management, long-term preservation, and archival control tools such as classification schemes and catalogues, to provide advice on scientific data management, open government data, and big data applications. As a integrator, the R&A department collaborates with data departments, considering factors such as policies, organizations, operations, resources, services, and systems. Further research requires more in-depth theoretical exploration and empirical studies on the identification of filing objects and the upgrad of filing solutions for structured data, the implementation mechanisms and effectiveness evaluation of R&A departments' guidance on data management, the business integration between R&A departments and data departments including the motivations and willingness for integration management.
Peer Review Status:Awaiting Review
Subjects: Library Science，Information Science >> Utilization of Information submitted time 2022-09-02
Abstract： Scientific data objectively and truly records the process of scientific research activities, and its open sharing is of great significance to scientific and technological innovation. As the inherent requirement of scientific research, the open sharing of scientific data is not a single open sharing behavior, which involves many factors. Through the systematic analysis of the management elements involved in the open sharing of scientific data and the composition of the open sharing ecosystem of scientific data, the functional orientation and relationship of each element in the ecosystem are defined, the existing problems of open sharing of scientific data are discussed, and the implementation path of perfecting the open sharing ecosystem of scientific data is put forward, that is, continuously strengthening the top-level design, implementing the cooperative sharing of scientific data, and carrying out the data "four characteristics" detection work. In the end, an open sharing ecology of scientific data with multi-agent coordination and multi-factor operation in order will be formed, which will improve the level of open sharing of scientific data, provide real guarantee for scientific data, and provide strong support for scientific research integrity and scientific and technological development.
Peer Review Status:Awaiting Review
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