Standards and methodologies big data guidance

A standard is a formal document that establishes uniform criteria, methods, processes and practices. In contrast, a custom, convention, company product, corporate standard, and so forth that becomes generally accepted and dominant is often called a de facto standard. A standard may be developed by a project, any type of organization or standards organization (SDO) [8]. BYTE recognizes the use of standards and methodologies as a vital source of knowledge when addressing the challenges with big data usage, development and implementation. Big Data covers so many different topics and situations, so it is not feasible to recommend one comprehensive selection of standards. Standards should instead be regarded as an open and current solution, possible to change, to integrate with other standards and solutions, and a source for further development. BYTE will be replaced by the BYTE Big Data Community (BBDC), a sustainable, cross-disciplinary platform that will implement the roadmap identified within the project, and will assist the European stakeholders in identifying and meeting the big data challenges, to finally achieve the scenario envisioned by BYTE for 2020. BBDC would therefore need to continuously refine and update a list of Big Data standards and methodologies, that includes potential solutions, tools and guidelines for policy externalities and research topics. Developing new Big Data standards and solutions are a good thing. A widely accepted standard, formal or informal, disseminates the knowledge and encourages other researchers and user communities to build upon its already accepted solution. BBDC should organize itself, dedicate a function to be continuously updated on the current and future list of potential and applicable Big Data standards and methodologies. Just upkeeping and providing information on relevant "big data standards" to the EU, member nations and other communities is a formidable task.