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For example, many scientific publications have reported use of Google Trends to identify changes in people’s search behaviour as indicators of changing interest in a topic (Įt al., 2015), measures of public health (e.g. Metadata are increasingly being used to detect trends and obtain insights into social, economic and political interactions ( The creation and use of meaningful metadata are now recognised as crucial elements in providing value-added services (Įt al., 2013).
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Thus, the richer the metadata applied to a data source, the more findable the data becomes. For example, putting ‘keywords’ into a search engine such as Google allows sources of online information to be identified and selected as appropriate. Of these, descriptive metadata elements are the most commonly used in outward-facing online searches. The ‘Metadata, Encoding and Transmission Standard’ (METS) divides metadata into three broad categories: ‘descriptive’, ‘structural’ and ‘administrative’ (ĭavenhall, 2011). The term ‘metadata’ can mean different things within different settings, and there are many different ways that metadata can be classified. However, metadata records vary greatly in their richness that is, how much or little of the data is described and captured in the metadata record, where generally the ‘richer the metadata record, the greater the possibilities’ ( The term ‘metadata’ generally refers to ‘information about information’, or ‘data about data’ (Įt al., 2003), and there are increasing calls for metadata to be treated as equally important as the objects they describe (ĭe Waard & Kircz, 2003). Once online,ĭata are made more findable by having rich metadata. Findable, Accessible, Interoperable and Reusable) for scientific data management and stewardship (Įt al., 2016), and for data to begin to be considered ‘findable’ they must first be available in digital formation in an online platform (i.e. Making data findable is the first step in the ‘FAIR Guiding Principles’ (i.e. Research data is no longer just ‘nice to have’: such data underpin decisions about health, development of public policy, innovation, profitability and environmental sustainability (įor data to be used they need to be brought out of the ‘dark’ and into the ‘light’. There are increasing calls for data to be made more widely available for maximum use, as well as the view that research funded by taxpayers should be more readily accessible (Įt al., 2018).
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However, it has been estimated that between 80 and 93% of data are held on personal computers or in offline repositories (īabcock, 2015), where they are left in the ‘dark’, and are of limited use ( The sheer volume of data being produced means that excellent data management is essential (Įt al., 2018). It is expected that the entire digital universe is expected to reach 44 zettabytesġ by 2020 and by 2025, it’s estimated that 463 exabytesĢ of data will be created globally each day (ĭesjardins, 2019). More data were generated between 20 than in the whole length of human history before that ( The amount of digital data being generated around the world every day is truly massive.