Project "Innovations for Big Data in a Real World" ( iBIGworld ) aims to join together HEIs, business in order to address the competences and compatible job profile. This collaboration will provide innovative solutions to develop BigData experts. Learning framework is based on IEEE guidelines for big data in Machine Learning”. In this context, this project aims: a) to bridge the current digital skills gap in southern Europe following the European Commission's 'e-Skills for jobs' campaign. b) to build an ecosystem of key partners for creating an access port in underrepresented talent pools. c) to identify the underrepresented skills, the rationale behind the phenomenon of talented people who lack the traditional credentials to land a good job and the Big Data with the most pressing needs. d) to promote business opportunities, through a Smart BigData Job Hub, between Universities and business, including new Big Data -based internship programs, PhD student supervision between HEIs and business. e) to envisage a range of new initiatives to ensure that these skills are adequately promoted in the curriculum, in teacher development, in assessment practices and in learning content. ICT, BigData and AI trends, new educational tools and learning resources to be collected, processed and disseminated through the Smart BigDataJob Hub towards the modernization of curricula and to further. The iBIGworld project brings together four partners from four European countries: Poland, Bulgaria, Ukraine, Serbia. To fulfill the aforementioned objectives, the iBIGworld project includes three teaching/training activities focused on: 1. HEI trainers 2. Undergraduate and postgraduate students 3. Business managers Furthermore, the project involves the organisation of four multiplier events, for the dissemination of the four project intellectual outputs ("DataBased with good practices BigData case", "Setup the Big Data Requirements", "BigData framework for training in HE", "Piloting"). The project results have a notable impact on all stakeholders, which is summarised as follows: - On HEIs: Mitigation of the ICT "skill-crisis" by supporting the design of evidence-based reforms of curricula. - On students and graduates: Preparation of high BigData-skilled, empowered, motivated and self-confident future professionals. - On business : Sharing of knowledge and cooperation with the participating HEIs, since academic degrees (Bachelor's and Master's) will be promoted in the eyes of industry and market recruiters, while applied research will be conducted in their premises. - On society: Linking HEIs and business world is a pre-requisite, iBIGWorld aspires to offer better job opportunities for graduates and minimize the risk of unemployment, lower wages and poorer long-term prospects. In order to ensure sustainability, all project outcomes are publicly available, while the participating organisations are signing agreements on post-project output sustainability.
The main objective was to join together HEIs and businesses in order to address the competencies and compatible job profiles. This collaboration provided innovative solutions to prepare Big Data experts, which is presented as a learning framework based on IEEE guidelines for Big Data in Machine Learning. In this context, the detailed objectives were: a) to bridge the current digital skills gap in southern Europe following the European Commission's 'e-Skills for jobs' campaign b) to build an ecosystem of key partners for creating an access port in underrepresented talent pools c) to identify the underrepresented skills, the rationale behind the phenomenon of talented people who lack the traditional credentials to land a good job and the Big Data with the most pressing needs d) to promote business opportunities through a Smart BigData Job Hub between Universities and business, including new Big Data -based internship programs, Ph.D. student supervision between HEIs and business e) to envisage a range of new initiatives to ensure that these skills are adequately promoted in the curriculum, in teacher development, in assessment practices, and in learning content
1. The need of companies to seek experts in Big Data for consultations and capabilities to harness complex data processing, forced by the exponential growth of global data aggregated via social networks, web search, text messages, media files, IoT devices, and sensors. 2. The need for companies to generate critical insights through data governance which is the formal orchestration of people, processes, and technology that enables an organization to leverage data as an enterprise asset resulting in business improvement. 3. We need professionals who understand Big Data and have the competence to manage it. The challenge faced in light of the data revolution is finding people with the required set of skills to transform data into actionable insight. 4. The demand for Big Data professionals increases. On the other hand, the supply remains low which creates great job opportunities for individuals within this field. 5. HEIs are unable to cope with the fast transformation due to the rapid pace of change in Big Data and in some cases due to less flexibility in learning modes. As a result, an inefficient loop is observed: centers of excellence struggle to find skilled specialists while graduated students are in lack practical skills.