The first phase of the data lifecycle is the creation of data/information. The creation process includes the following steps:
Pre-processing and document of collection data[TB1] : To ensurecorrectness, completeness and normativity, pre-processing should be conducted before collection collected data goes into a repository or a data management the system (CDMS). Pre-processing methods include: data format check, filename conversion, file merging/splitting and so on. The details of pre-processing procedure should be documented.
Document any associated information of the product/dataset: All associated information about the product/dataset should be well-documented, and documentation should be persistently available. The information needs to be documented includes: what it [TB2] data source, how it was produced and processed, what it contains, its ownership, its retention policy and retention status, how it is accessed, who can use it and how to use it, what application areas it is intended to support.
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Discovery Metadata Generation: Ensure there is a process exists to define discovery metadata, which provides the information of what a dataset contains, who is responsible for the dataset and how to access it. The change of algorithm, software code or input should trigger the process to generate a new discovery metadata.
Data Storage: Once D/I has been created within the organisation, it needs to be stored and protected.
Data Security Assurance: To ensure a privacy, confidentiality and appropriate access, relevant access authority and use constraints should be clearly stated. For those data coming from external sources or belonging to common intellectual property rights, an additional agreement defining rights, obligations and responsibilities is important.
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