Search results

The aim of WASTE4THINK ́s Data Management Plan is to provide an analysis of the main elements of the data management policy that are going to be used by the consortium. The results of the project waste4think It will produce an improvement in the management of public services which address the citizens and other stakeholders ́ needs. These services are expected to be based on the combination of Open Government Datasets with user-generated data though social networks and third party data to give place to added value datasets. The Waste4think project's partners are committed to offer as much information as possible generated by the project through Open Access. Such information includes: scientific publications issued by the project consortium, white papers published, open source code generated, anonymous interview results, or datasets used for gathering stakeholders ́ feedback. The present document constitutes the first version of WASTE4THINK`s Data Management Plan (DMP). The main objective of this DMP is to provide an analysis of the main elements of the data management policy that are going to be used by the consortium.

Deliverable 1.1 – Data Management Plan (DMP) is related to WP1 – Coordination and management, Task 1.4 - Data protection, data management plan and ethics compliance. Task 1.4 runs for the entire duration of the project to ensure that the implementation of reCreating Europe adheres to the EU legal and normative framework, as well as to key ethical and societal values and principles. ReCreating Europe's Compliance Framework (CF) is developed as a structured set of guidelines covering the broadest possible spectrum of legal and ethical issues arising during the development of the project, considering, in particular, the rights of all relevant stakeholders and actors, both as end-users and as participants in surveys, workshops, and semistructured interviews. This DMP records the procedures for data management within the reCreating Europe project. It documents the types of data the project will generate or collect, the standards and platforms that will be used for storage and processing, measures to assure legal compliance, and the plan for how these data will be curated and preserved to enable maximal future exploitation, sharing and re-use. It represents the general strategy of reCreating Europe Consortium to establish a FAIR ecosystem on research data developed during the project in order to fulfil the Open Research Data Pilot policy. It has been already identified that several project's research activities will involve human participants, some of them being vulnerable, and the collection and processing of personal data will require the collection of informed consent and ethics clearance. Informed consent and ethical approval procedures and forms are included in D1.2 Informed consent forms and information sheets, to be read in conjunction with this document. This document provides in attachment a detailed list of datasets to be developed in each WP and specifies the rules to be applied for each research data category, in order to identify common rules on how data will be curated and preserved in the long term, and ...

The Deliverable 1.2 is the Data Management Plan of the PIE News project. It aims at clarifying the procedures team members follow to collect, manage, and make publicly available the various types of data collected and generated through the project activities. It intends to provide team members with a complete guide on data management, with particular respect to privacy and data protection, on the one hand, and, on the other hand, to the Open Research Data pilot and how to make data F.A.I.R. Guidelines will be updated every time relevant changes in legislations or in the project development will arise.

The FRAMES (Fibre Reinforced thermoplAstics Manufacturing for stiffEned, complex, double curved Structures) project, supported by Clean Sky 2 Joint Undertaking and the DLR, intend to develop advanced knowledge and manufacturing solutions for a full scale thermoplastic aircraft rear end. The project is part of the Clean Sky 2 initiative focused on developing concepts and enabling technologies for an optimum rear fuselage an empennage. FRAMES main objective is to validate and assess a manufacturing approach of an integral thermoplastic rear end with critical design features. Key technologies developed within FRAMES will be used into a mid-scale advanced rear end demonstrator manufactured by the Deutsches Zentrum für Luft- und Raumfahrt (DLR), part of a Clean Sky 2 technology platform for large passenger aircrafts. Project was launched on July 2020 and targets to deliver a xenon heating device simulation model for thermoplastic composites fiber placement, efficient double curved TP-stiffeners manufacturing solution and associated prototypes as well as a self-heating tooling equipment able to perform a coconsolidation of the skin and stiffeners in one shot. The Data Management Plan describes the data management life cycle for the data to be collected, processed and generated by the FRAMES project. FRAMES DMP is intended to be a living document to be updated throughout the project with generated results. To ensure accessibility of the data, FRAMES DMP applies through the whole duration of activities until the last update of data.

The data management plan (DMP) covers the principles and protocols for data collection, processing, sharing and storage. The DMP will ensure that data management is compliant with the EU's Guidelines on Findable, Accessible, Interoperable and Reusable (FAIR) Data Management in Horizon 2020, and with relevant national data protection laws and institutional data management policies.

This document is the first version of the strategy to manage all the data produced in the project. HISTO-MRI has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 737180

DISCLAIMER: The present Project Deliverable has been submitted to the European Commission for review. The information and views set out in this report are those of the author(s) and do not necessarily reflect the official opinion of the European Union. Neither the European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use which may be made of the information contained therein. CoAct proposes a radically new participatory approach through "four wicked" social issues in which citizen groups act as co-researchers. The overall objective of CoAct is to develop and demonstrate the scientific relevance and social impact of Citizen Social Science, which is to date an underexplored area of citizen science. This deliverable constitutes the first draft of the CoAct Data Management Plan. The main obljective of this plan is make the Research Data FAIR, meaning Findable, Accessible, Interoperable and Reusable. The Data Management Plan is expected to be delivered in 3 phases: A draft version at Month 6, a revision at Month 18 and a final version at M36. The current document is the revised version.

The following document is the Deliverable 1.5_Data Management Plan (DMP) of the PURE Project, funded by the European Union's Horizon 2020 research and innovation programme under grant agreement Number 899732. 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 PURE 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. This Data Management Plan (DMP) has been prepared by taking into account the template of the "Guidelines on Data Management in Horizon 2020". The Pure project is funded by the European Union's Horizon 2020 program under grant agreement No. 899732.

Creative Informatics is a research and development programme based in Edinburgh, which aims to bring the city's world-class creative industries and tech sector together. We are a collaboration between University of Edinburgh, Edinburgh Napier University, Creative Edinburgh and CodeBase. The Creative Informatics programme is in part funded by the Arts and Humanities Research Council (AHRC). Projects funded by the AHRC and other UKRI funding bodies are required to submit Data Management Plans that describe the types of data that they will gather and use, and how they will manage this data in line both with current data legislation and with their institution's data management policies. Because the Creative Informatics programme includes two interrelated but distinct strands of work – the academic research strand and the administrative strand – that at times manage data in different ways, we have chosen to write two separate Data Management Plans, one for each strand. This document comprises the two Data Management Plans that we have submitted to the AHRC and the University of Edinburgh's Research, Knowledge Exchange and Impact (RKEI) office. We are sharing this document as an exemplar, and in the interests of transparency for all those we work with directly, as collaborators and as research participants. We would like to note that the two Data Management Plans included here are living documents, subject to at least annual review, and may evolve along with legislation changes or changes to the Creative Informatics programme structure. If substantial changes are made to the Data Management Plans in this document, new versions may be published to make those changes transparent.

This report is the first deliverable of Task 7.3 "Data Management" and describes the initial Data Management Plan (DMP) for the CLARITY project, funded by the EU's Horizon 2020 Programme under Grant Agreement number 730355. The purpose of the DMP is to provide an overview of all datasets collected and generated by the project and to define the CLARITY consortium's data management policy that is used with regard to these datasets. The CLARITY DMP follows the structure of the Horizon 2020 DMP template. It reflects the status of the data that is collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved. This initial version of the DMP defines the general policy and approach to data management in CLARITY that handles data management related issues on the administrative and technical level. This includes for example topics like data and meta-data collection, publication and deposition of open data, the data repository infrastructure and compliance to the Open Access Infrastructure for Research in Europe (OpenAIRE). It furthermore summarises the intermediate results of the data collection activities in Task 2.2 "Demonstrator-specific data collection" that are being carried out according to the data collection concept introduced in Task 2.2 "Data requirements definition, data collection concept, demonstration and result validation concept" and the guidelines on FAIR (Findable, Accessible, Interoperable and Reusable) data management. The DMP will evolve during the lifespan of the project. Next versions will refine and enhance policy aspects and will go into more detail regarding the datasets collected and produced by the CLARITY project.

The premise of Innochain is to publish all research results. The Grant Agreement §29 DISSEMINATION OF RESULTS — OPEN ACCESS — VISIBILITY OF EU FUNDING describes in detail this general obligation to disseminate scientific results. This attention applies to the publishing of the research results, as the underlying datasets. Innochain is taking part in the Horizon 2020 Pilot on Open Research Data and is taking responsible actions to collect the datasets, which are generated in Innochain and provide a sustainable and long-term access to the datasets. After two years of Innochain we examine within this document what type of data is generated in Innochain, how and where the data is stored, and who has and will have access to the data. This document reports on the considerations within continuous process of adjusting the data management in Innochain. The conclusion of the process led to the update of data management policies and environment in Innochain with zenondo.org, a well established platform at CERN, funded by the European Union, as main data repository for Innochain datasets https://zenodo.org/search?page=1&size=20&q=innochain .

The Data Management Plan clarifies the handling of research data during and after the project. It includes data that will be collected, processed or generated during the project, methodology and standards that will be applied, whether data will be shared and how data will be curated and preserved, taking into account all data-related aspects of the project. The document describes: The guiding principles for data management in the project The legal framework constituted by the General Data Protection Directive (GDPR) An overview of what data will be gathered and processed in the project How data will be sotred and processed according to the H2020 FAIR data management principles Resource allocation for making data FAIR Data security aspects ePLANET project is a Coordination and Support Action cofounded by the European Commission through Horizon 2020 program. ePLANET aims to deploy a new clustering governance for energy transition based on a digital framework to share harmonized information, facilitating the adoption of coordinated energy transition actions by the European public sector.

Datenmanagementpläne sind Ergebnisse der wissenschaftspolitischen Forderung nach einem zeitgemäßen Management und Austausch von wissenschaftlichen Daten. Der verantwortungsvolle Umgang mit Forschungsdaten wird national und international mit der Erwartung verbunden, dass die Ergebnisse öffentlich geförderter Forschungsprojekte für Analysen und Replikationen dauerhaft und global verfügbar gemacht sind (OECD, 2007; Allianz, 2010). Für ein Forschungsprojekt ist ein Datenmanagementplan (DMP) von praktischer Relevanz, seit nationale und internationale Förderinstitutionen von Antragstellern erwarten, systematisch zu beschreiben, wie mit Forschungsdaten während der Projektlaufzeit und nach Projektabschluss umgegangen werden soll. Zur Förderung der nachhaltigen Sicherung und Verfügbarkeit von Forschungsdaten hat die DFG 2010 die Erstellung eines Datenmanagementplans in die Antragsbedingungen aufgenommen.

The data management plan "describes the data management life cycle for the data to be collected, processed and/or generated by"1 ESiWACE2 in all relevant work packages. It will be updated throughout the project period in time with the periodic project evaluation. With ESiWACE2 focussing on software development and the preparation of the weather and climate communities for exascale computing in terms of services and infrastructural means, only few actual "research data" are created in the project. They can be basically grouped into three categories: (1) model output for development purposes, (2) performance analysis and benchmark data, and (3) educational material. ; ESiWACE2 has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 823988

This document includes the deliverable D7.2 of the AiRT project, which covers the first version of the Data Management Plan. Consortium of AiRT project participates in the Open Research Data Pilot for H2020 programme. Therefore, this document will describe how research data collected during the project will be made accessible by the partners and the repositories selected where deposit the data. Document elaboration is based on information included in deliverable D6.3 (Report on monitoring and evaluation of communication and dissemination activities). Revisions for the Data Management Plan will be made during the rest of the project, to include information related to next deliverables and tasks. This deliverable is led by UPV, although all the partners participate in the compliance of the task. ; This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement nº 732433.