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D8.1 Data Management Plan D8.1 Data Management Plan Project ref. no. H2020-MG-2018-SingleStage-INEA Nº 824326 Project title Revealing fair and actionable knowledge from data to support women’s inclusion in transport systems, Project duration 1st November 2018 – 31st October 2021 (36 months) Website www.diamond-project.eu Related WP/Task WP8 / T8.1 Dissemination level PUBLIC Document due date 30/04/2019 (M6) Actual delivery date 30/04/2019 (M6) Deliverable leader Systematica Srl (SYS) Document status Submitted This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 824326 Revision History Version Date Author Document history/approvals 0.1 03/04/2019 SYS Draft version circulated to partners 0.2 15/04/2019 STIR Draft version circulated to partners 1.0 26/04/2019 Anahita Rezaallah (SYS) Final complete version Andrea Gorrini (SYS) 1.0 29/04/2019 EURECAT Validation 1.0 30/04/2019 EURECAT Submission Executive Summary The following document is the Deliverable 8.1_Data Management Plan (DMP) of the DIAMOND Project, funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement Number 824326. The main aim of DIAMOND Project is to turn data into actionable knowledge with notions of fairness, in order to progress towards an inclusive and efficient transport system, by the development of a methodology based on the collection and analysis of disaggregated data, including new sources, analytics and management techniques. This document is the first version of the DMP, consisting of preliminary information regarding the type and format of data that will be collected and generated, its origin, data utility and how DIAMOND project research data will be findable, accessible, interoperable and reusable (i.e. FAIR). The purpose of DMP is to provide the members of the consortium with an analysis of the main elements of the data management policy regarding all the datasets generated by the project. The DMP is a living document that will evolve during the lifespan of the project, the second version D8.1.2_Data Management Plan, revision period 1 will be published on May 31, 2020 and the third and final version D8.1.3_Data Management Plan, revision period 2 will be published by the end of project on November 30, 2021. D8.1 Data Management Plan Page 2 of 20 Table of Contents REVISION HISTORY ............................................................................................................................. 2 EXECUTIVE SUMMARY ...................................................................................................................... 2 TABLE OF CONTENTS ....................................................................................................................... 3 LIST OF FIGURES ................................................................................................................................. 4 LIST OF TABLES ................................................................................................................................... 5 TERMINOLOGY AND ACRONYMS ................................................................................................... 6 INTRODUCTION ......................................................................................................................... 7 DATA SUMMARY ......................................................................................................................... 8 2.1 WHAT IS THE PURPOSE OF THE DATA COLLECTION/GENERATION AND ITS RELATION TO THE OBJECTIVES OF THE PROJECT? ................................................................................................................................................................................. 8 2.2 WHAT TYPES AND FORMATS OF DATA WILL THE PROJECT GENERATE/COLLECT? ................................................ 9 2.2.1 Type of data .................................................................................................................................................................................. 9 2.2.2 Format of data........................................................................................................................................................................... 10 2.3 WILL YOU RE-USE ANY EXISTING DATA AND HOW? ............................................................................................... 12 2.4 WHAT IS THE ORIGIN OF THE DATA? ........................................................................................................................ 12 2.5 WHAT IS THE EXPECTED SIZE OF THE DATA? ........................................................................................................... 12 2.6 TO WHOM MIGHT IT BE USEFUL ('DATA UTILITY')? .................................................................................................. 13 FAIR DATA .................................................................................................................................. 14 3.1 MAKING DATA FINDABLE, INCLUDING PROVISIONS FOR METADATA .................................................................... 14 3.1.1 Metadata provision .................................................................................................................................................................. 14 3.1.2 Standards for metadata creation ........................................................................................................................................ 14 3.2 MAKING DATA OPENLY ACCESSIBLE .......................................................................................................................... 14 3.3 MAKING DATA INTEROPERABLE ................................................................................................................................. 18 ALLOCATION OF RESOURCES .............................................................................................. 18 DATA SECURITY ....................................................................................................................... 18 ETHICAL ISSUES ........................................................................................................................ 18 6.1 GENDER ANALYSIS AND COMMITMENT TO THE RESPONSIBLE RESEARCH INNOVATION (RRI) PRINCIPLES ... 19 D8.1 Data Management Plan Page 3 of 20 List of Figures Figure 1. Data Life Cycle ................................................................................................................................... 7 D8.1 Data Management Plan Page 4 of 20 List of Tables Table 1. List of DIAMOND project data sets for each use-case ........................................................... 10 Table 2. File formats recommended and accepted by the UK Data Service for data sharing, reuse and preservation ............................................................................................................................................... 12 Table 3. Detail of targeted users benefiting from DIAMOND project ................................................ 14 Table 4. List of DIAMOND project deliverables and their dissemination level................................. 18 D8.1 Data Management Plan Page 5 of 20 Terminology and Acronyms CCTV Closed-Circuit Television DMP Data Management Plan EC European Commission EU European Union EUT FUNDACIO EURECAT FAIR Findable, Accessible, Interoperable, Reusable FGC Ferrocarrils de la Generalitat de Catalunya G&V GENRE ET VILLE H2020 Horizon 2020 ORDP Open Research Data Pilot SYS Systematica S.r.l. VELIB SYNDICAT MIXTE AUTOLIB ET VELIB MÉTROPOLE WAVE WAVE WOMEN AND VEHICLES IN EUROPE WP Work Package ZTM MIASTO STOLECZNE WARSZAWA D8.1 Data Management Plan Page 6 of 20 Introduction The main purpose of the DMP is to provide the members of the consortium with an analysis of the main elements of the data management policy to be used with regard to the project research data. The DMP is produced using the European Commission (EC) guideline of "Horizon 2020 FAIR Data Management Plan (DMP) template", Version: 26 July 2016. It covers the entire research data life cycle as it is shown in the following figure that illustrates the different phases and aspects of research data management and their relation. Figure 1. Data Life Cycle1 It is noteworthy that in reality, research processes are rarely as linear as shown here but the model summarizes the most important aspects of data management at different phases of the project. The DMP provides information regarding purpose of data collection, type and format of data collection and generation, methods of re-using existing data, origin of data, expected size of data, data utility, how DIAMOND project research data will be findable, accessible, interoperable and reusable (FAIR), data security and ethical issues. As this document is the first version of the DMP, delivered in Month 6 of the project, it only provides a general overview of data collection. The upcoming versions of the DMP will be more detailed and describe the practical data management procedures implemented by the DIAMOND project. The DMP will be updated in Month 18 (D8.1.2) and Month 36 (D8.1.3) respectively. 1 SOURCE: HÜSER, FALCO JONAS; ELBÆK, MIKAEL K.; MARTINEZ LAVANCHY, PAULA (2016): DTU RESEARCH DATA LIFE CYCLE. FIGSHARE. FIGURE. D8.1 Data Management Plan Page 7 of 20 Data summary 2.1 What is the purpose of the data collection/generation and its relation to the objectives of the project? The purpose of data collection campaigns
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