The BIG Project

Curry, Edward; Becker, Tilman; Munné, Ricard; Lama, N.; Zillner, Sonja

doi:10.1007/978-3-319-21569-3_2

Cited by 2 publications

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“…In order to correctly identify the technical research priorities a systemic and structured methodology was needed to gather inputs from over 200 stakeholder organisations. The methodology built on and extended an established roadmapping methodology to gather consensus from a range of stakeholders (Curry et al 2016).…”

Section: Methodsmentioning

confidence: 99%

Technical Research Priorities for Big Data

Curry

Zillner

Metzger

et al. 2021

The Elements of Big Data Value

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To drive innovation and competitiveness, organisations need to foster the development and broad adoption of data technologies, value-adding use cases and sustainable business models. Enabling an effective data ecosystem requires overcoming several technical challenges associated with the cost and complexity of management, processing, analysis and utilisation of data. This chapter details a community-driven initiative to identify and characterise the key technical research priorities for research and development in data technologies. The chapter examines the systemic and structured methodology used to gather inputs from over 200 stakeholder organisations. The result of the process identified five key technical research priorities in the areas of data management, data processing, data analytics, data visualisation and user interactions, and data protection, together with 28 sub-level challenges. The process also highlighted the important role of data standardisation, data engineering and DevOps for Big Data.

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Section: Methodsmentioning

confidence: 99%