D1.3 Data Management Plan

This report is the second version of the Data Management Plan (DMP) for the OPTIMAI project, provided as D1.3 - Data Management Plan - 2nd version in month 12 of the project. The overall purpose of this document is to support the data management lifecycle for all data that will be collected, stored, processed or generated by the project in order to maximise its access, according to the H2020 Pilot on Open Research Data (ORDP) in which the project participates. The DMP aims to identify the scope for data management within the project and then to consider in turn the datasets present within the project. The OPTIMAI approach will be in full compliance with the EU legislative and regulatory framework for ethics and data protection. So, in this document main regulations and basic concepts of the EU legal framework are summarised. A Data Management Plan Methodology is defined to provide the general rules and mechanisms for the access management of project data. Each dataset in the project is identified and described and information is provided about the extent to which it is standard compliant, and how the data will be available, accessible, interoperable and reusable. The approach to data management within OPTIMAI is presented by establishing the types of data likely to be encountered, the FAIR approach to data management and how it is specifically applied within the project, processes for the management of personal data and further ethical and security considerations. The complete legal and ethical framework of OPTIMAI will be developed and reported in WP9. The final part of the report then reviews each work package and task for any related data management requirements identified until M12, establishing an initial list of datasets within the project. So far, a total of 22 datasets have been identified in this version of the deliverable, being most of them data that will be collected and processed by the four pilot use cases. Other datasets are mostly stakeholders' information and public deliverables produced within the project scope. Although at this stage, some of this information remains incomplete or is yet to be determined this overview provides a solid basis for the data management lifecycle. Overall, the OPTIMAI data management plan is intended to be a living document that is regularly updated throughout the remainder of the project as information about the data present within the project becomes more complete and new datasets emerge. As living document, it will be updated during the course of the project in new versions at M24 and M3

D8.6 OPTIMAI commercialization and exploitation strategy

Deliverable D8.6 OPTIMAI commercialization and exploitation strategy 1 st version is the first version of the OPTIMAI Exploitation Plan. Exploitation aims at ensuring that OPTIMAI becomes sustainable well after the conclusion of the research project period so as to create impact. OPTIMAI intends to develop an industry environment that will optimize production, reducing production line scrap and production time, as well as improving the quality of the products through the use of a variety of technological solutions, such as Smart Instrumentation of sensors network at the shop floor, Metrology, Artificial Intelligence (AI), Digital Twins, Blockchain, and Decision Support via Augmented Reality (AR) interfaces. The innovative aspects: Decision Support Framework for Timely Notifications, Secure and adaptive multi-sensorial network and fog computing framework, Blockchain-enabled ecosystem for securing data exchange, Intelligent Marketplace for AI sharing and scrap re-use, Digital Twin for Simulation and Forecasting, Embedded Cybersecurity for IoT services, On-the-fly reconfiguration of production equipment allows businesses to reconsider quality management to eliminate faults, increase productivity, and reduce scrap. The OPTIMAI exploitation strategy has been drafted and it consists of three phases: Initial Phase, Mid Phase and Final Phase where different activities are carried out. The aim of the Initial phase (M1 to M12), reported in this deliverable, is to have an initial results' definition for OPTIMAI and the setup of the structures to be used during the project lifecycle. In this phase, also each partner's Individual Exploitation commitments and intentions are drafted, and a first analysis of the joint exploitation strategies is being presented. The next steps, leveraging on the outcomes of the preliminary market analysis, will be to update the Key Exploitable Results with a focus on their market value and business potential and to consolidate the IPR Assessment and set up a concrete Exploitation Plan. The result of the next period of activities will be reported in D8.7 OPTIMAI commercialization and exploitation strategy - 2nd version due at month 18 (June 2022

Big Data Use and Challenges: Insights from Two Internet-Mediated Surveys

Big data and analytics have received great attention from practitioners and academics, nowadays representing a key resource for the renewed interest in artificial intelligence, especially for machine learning techniques. In this article we explore the use of big data and analytics by different types of organizations, from various countries and industries, including the ones with a limited size and capabilities compared to corporations or new ventures. In particular, we are interested in organizations where the exploitation of big data and analytics may have social value in terms of, e.g., public and personal safety. Hence, this article discusses the results of two multi-industry and multi-country surveys carried out on a sample of public and private organizations. The results show a low rate of utilization of the data collected due to, among other issues, privacy and security, as well as the lack of staff trained in data analysis. Also, the two surveys show a challenge to reach an appropriate level of effectiveness in the use of big data and analytics, due to the shortage of the right tools and, again, capabilities, often related to a low rate of digital transformation

D1.2 - OPTIMAI - Data Management Plan - 1st version

This report is the first version of the OPTIMAI Data Management Plan (DMP), delivered as D1.2 - Data Management Plan - 1st version. The purpose of the data management plan is to identify the scope for data management within the project and then to consider in turn the datasets present within the project. Overall, the OPTIMAI data management plan is intended to be a living document that is regularly updated throughout the remainder of the project as information about the data present within the project becomes more expressive and new datasets emerge. In this document, the initial approach to data management within OPTIMAI has been presented by establishing the types of data likely to be encountered, the FAIR approach to data management and how it is specifically applied within the project, processes for the management of personal data and further ethical and security considerations. The complete legal and ethical framework of OPTIMAI will be developed and reported in WP9. The final part of the report then reviews each work package and task for any related data management requirements identified until M6, establishing a first list of datasets within the project. Although at this stage, some of this information remains incomplete or is yet to be determined this overview provides a solid basis for the data management lifecycle