Suchergebnisse

Edith Cowan University (ECU) is one of twelve Australian universities striving to create world-class research capacity and capability through investment in the Collaborative Research Network (CRN) project. The CRN project at ECU aims to accelerate the growth of research activity in four key areas: Health, Education, ICT, and Environment. These areas align to both the Australian Government's National Research Priorities and ECU's strategic research plan. Managing eResearch data is essential, especially within a CRN to ensure the maximum benefit is achieved from the investigations. Currently, there is no set model to follow. Normally an institution will establish its own policy and procedures which are applicable to their researchers and data. However, this causes difficulties for researchers sharing data across a collaborative network as policies and procedures may differ. The CRN project will create a significant amount of new data and it is imperative that this data is managed so that it is secure, accessible and usable. Consequently, research data management policies, procedures and technical solutions are being developed to support this process.

This report investigates the meaning and (potential) impact of the FAIR data principles in practice. These principles were established by a group of diverse stakeholders engaging via a working group in FORCE11. They are referenced in many policy documents and in developments of open science, for example, the European Open Science Cloud. This report explored FAIR with stakeholders in the UK academic research community. Its aims were to understand how using or being inspired by these principles improves the findability, accessibility, interoperability and reuse of research data, including consideration of disciplinary differences. Jisc established a group of research data experts and Jisc staff who provided expertise and helped to validate findings. Interviews and focus groups were conducted, primarily with researchers, but also involving input from research support professionals, publishers and funders. An assessment of the use of FAIR principles in institutional research data management (RDM) guidance was also carried out. Data collected from these activities was synthesised and structured using a PEST framework - grouped into factors relating to Political, Economic, Social and Technical aspects. Explicit use of FAIR was seen to be limited, in many cases, to discussion at a fairly conceptual level amongst those most heavily involved in best practice of data management. Even where FAIR was fairly well established as a term and a concept, it tended to largely reflect existing practice. Arguably this was without significantly influencing many practical changes for those at the "leading edge" of data management, although it did provide a new and effective common way of communicating best practice. However, in exploring the underlying practices of research, demonstrating findability, accessibility, interoperability and reusability, there was considerable evidence that good practice existed in all of these elements. In many cases this was both well established (over many years) and continually improving.

This book aims to help the reader better understand the importance of data analysis in project management. Moreover, it provides guidance by showing tools, methods, techniques and lessons learned on how to better utilize the data gathered from the projects. First and foremost, insight into the bridge between data analytics and project management aids practitioners looking for ways to maximize the practical value of data procured. The book equips organizations with the know-how necessary to adapt to a changing workplace dynamic through key lessons learned from past ventures. The book's integrated approach to investigating both fields enhances the value of research findings.

The dynamic network of 31 research data centres (RDCs) accredited by the German Data Forum (Rat für Sozial- und Wirtschaftsdaten, RatSWD) provides science and research with comprehensive access to quality-assured and sensitive data. The annual number of processing requests and publications indicate that the data and services provided by RDCs are in high demand. They also underscore the importance of the research data centres for the social, behavioural and economic sciences. As shown in two new publications by the German Data Forum, the research data infrastructure is highly effective and can serve as a best practice model on a national and international level.

The 2011 Canadian Research Data Summit was held at the Ottawa Convention Centre on September 14. About the Summit On September 14-15, 2011, The 2011 Canadian Research Data Summit brings together 100-150 senior researchers, high level policy makers, university administrators, and members of the private sector. Together, participants will work on formulating a shared strategy for addressing the challenges and opportunities for maximizing the benefits of our collective investment in research data in Canada. The Summit will act as a catalyst for the development of a made-inCanada approach for maximizing the availability and use of research data. About the Research Data Strategy Working Group The Research Data Strategy Working Group is a collaborative effort launched in 2008 to address the challenges and issues surrounding the access and preservation of data arising from Canadian research. This multi-disciplinary group of universities, institutes, libraries, operators of research infrastructure, granting agencies, governments, and individual researchers are united through a shared recognition of the pressing need to deal with Canadian data stewardship issues. Together, they are focussing on the necessary actions, next steps and leadership roles that researchers and institutions can take to ensure Canada's research data are accessible and usable for current and future generations of researchers

Das Poster der Stiftung Universität Hildesheim zum Forschungsdatenmanagement zeigt, wie eine wissenschaftliche Bibliothek, so wie die Universitätsbibliothek Hildesheim, geisteswissenschaftliche Disziplinen im Forschungsdatemanagement aktiv unterstützt. Forschungsprojekte werden durch Serviceinfrastrukturen, den technischen Infrastrukturen intern (Rechenzentrum) und extern (GWDG, NFDI4Culture, usw.) in allen Phasen begleitet. Geisteswissenschaftliche Projekte werden außerdem hinsichtlich der forschungsethischen Belange unterstützt. Ende 2020 fand ein Tag der Forschung zur Forschungsethik statt. Das FDM der UB Hildesheim orientiert sich u.a. an den FAIR- und Care-Prinzipien. Methodenorientierte Beratungen gehen über das Dienstleistungsportfolio der UB hinaus. Workshops zum geisteswissenschaftlichen Forschungsdatenmanagement finden jedes Semester statt. Der Kontakt zur FDM-Stelle kann den Weg zu den Ethikkommissionen weisen. Überlegungen zur Ethik gehen über die erforderlichen datenschutzrechtlichen zu den personenbezogenen Daten hinaus. Das gesamte Forschungsfeld wird reflektiert. Der Fachbereich 2, Kulturwissenschaften und Ästhetische Kommunikation, vereint die Institute für bildende Kunst und Kunstwissenschaft, das Institut für Kulturpolitik, das Institut für Literarisches Schreiben und Literaturwissenschaft, das Institut für Medien, Theater und Populäre Kultur, das Institut für Musik und Musikwissenschaft sowie das Institut für Philosophie.

Das Poster der Stiftung Universität Hildesheim zum Forschungsdatenmanagement zeigt, wie eine wissenschaftliche Bibliothek, so wie die Universitätsbibliothek Hildesheim, geisteswissenschaftliche Disziplinen im Forschungsdatemanagement aktiv unterstützt. Forschungsprojekte werden durch Serviceinfrastrukturen, den technischen Infrastrukturen intern (Rechenzentrum) und extern (GWDG, NFDI4Culture, usw.) in allen Phasen begleitet. Geisteswissenschaftliche Projekte werden außerdem hinsichtlich der forschungsethischen Belange unterstützt. Ende 2020 fand ein Tag der Forschung zur Forschungsethik statt. Das FDM der UB Hildesheim orientiert sich u.a. an den FAIR- und Care-Prinzipien. Methodenorientierte Beratungen gehen über das Dienstleistungsportfolio der UB hinaus. Workshops zum geisteswissenschaftlichen Forschungsdatenmanagement finden jedes Semester statt. Der Kontakt zur FDM-Stelle kann den Weg zu den Ethikkommissionen weisen. Überlegungen zur Ethik gehen über die erforderlichen datenschutzrechtlichen zu den personenbezogenen Daten hinaus. Das gesamte Forschungsfeld wird reflektiert. Der Fachbereich 2, Kulturwissenschaften und Ästhetische Kommunikation, vereint die Institute für bildende Kunst und Kunstwissenschaft, das Institut für Kulturpolitik, das Institut für Literarisches Schreiben und Literaturwissenschaft, das Institut für Medien, Theater und Populäre Kultur, das Institut für Musik und Musikwissenschaft sowie das Institut für Philosophie.

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 ...

Australian government funding and policy guidelines increasingly encourage researchers to deposit their research data in institutional or subject repositories, but there are significant technical and organisational practicalities involved in achieving this. In this paper, Monash University Library staff members with responsibility for repository development and research data management describe their work together to establish the Monash University ARROW Repository as a key part of the university's overall program to improve research data management. Repository - related activities are discussed in the context of wider developments, both in technical infrastructure and in terms of professional development and outreach to researchers. Presented at 'Connections content conversations', the 15th VALA Biennial Conference and Exhibition (VALA 2010), Melbourne, Victoria, Australia, 9-11 February 2010 handle 1959.1/539468 pid monash:81820