Kaptur rburgess 18th july 2012
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2nd KAPTUR Steering Group, presentation on RDM policy development at the Glasgow School of Art by Robin Burgess, Project Officer for KAPTUR
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Keynote: Research data - challenges for the visual arts - Kerstin Mey, Director of Research and Enterprise, University for the Creative Arts
Simon hodson
The document summarizes the Jisc Managing Research Data Programme which aims to support universities in improving research data management. It discusses why managing research data is important, highlighting funder policies and the benefits of open data. It provides an overview of Jisc's activities including training projects, guidance resources, and funding for institutional infrastructure services and repositories. The presentation emphasizes the importance of institutional policies, support services, skills development and cultural change to effectively manage research data in line with funder expectations.
Andrew gray
This document summarizes Goldsmiths' efforts to develop a research data management policy. A working group was formed to review existing policies, discuss data storage and training. They drafted a policy addressing the research data lifecycle, responsibilities of researchers, and the college's role in preserving access to data. A data repository was also created. Key recommendations include identifying stakeholders, being practical, and tying the policy to the university's strategic goals. The overall aim is to improve research support through better research data management.
Kaptur business-plan-template-public
The document provides a template for institutions to develop business, financial, and sustainability plans to support research data management (RDM) best practices after the end of the JISC KAPTUR project. The template includes sections for background, objectives, stakeholders, strategic alignment, options appraisal, risk management, cost analysis, and evaluation. It is intended to help institutions outline how they will take RDM best practices forward and ensure ongoing support beyond the project lifespan.
The prayer companion_boucher_et_al
Research output example used in Goldsmiths, University of London, RDM training session on 22nd February 2013.
Lm gsa training
This document summarizes drivers for research data management in UK higher education, including policies from research funders like RCUK and AHRC. It also describes resources for supporting research data management, such as the Jisc Managing Research Data programme, the Digital Curation Centre (DCC), and projects funded through the Jisc programme like CAiRO and KAPTUR. The DCC provides guidance on data management planning, training, and curation best practices. Research data is broadly defined as any digital evidence used or created during the research process to generate new knowledge.
Kaptur mrd example
Worksheet produced as part of the KAPTUR training workshop held at University for the Creative Arts, 16th January 2013.
Kaptur mrd questions
This document provides guidance on questions to consider when developing a technical plan or data management plan for a research funding application. It covers four sections: (1) digital outputs and technologies used in the project; (2) technical methodology including standards, formats, hardware/software, and data processing; (3) technical support and experience; and (4) preservation, sustainability and access including preservation methods, continued access, and intellectual property considerations. The questions aim to ensure digital outputs are well-planned, fit-for-purpose, and preserved/accessible after the project ends.
Uca mrd presentation january 2013
Presentation given by Leigh Garrett about the KAPTUR project and the importance of effective RDM practice at the UCA RDM training workshop, 16th January 2013.
Rdm training presentation 16.01.2013
Presentation given by Anne Spalding, KAPTUR Project Officer for University for the Creative Arts as part of the UCA RDM training workshop given on 16th January 2013.
Kaptur IT costs public
This document outlines a method for estimating the IT costs of research data management systems over 10 years. It describes costing two types of systems: an externally hosted cloud-based system (Amazon Web Services) and an internally hosted open source system. Key factors that are costed include storage, hardware, software, staffing, and annual inflation. The document also notes some limitations, such as development costs being excluded and cloud pricing changing over time. An accompanying Excel spreadsheet model allows entering storage and other variables to calculate total costs for each system.
20130108 kaptur lg
The document summarizes the agenda and goals of the KAPTUR Project Steering Group meeting on January 8th, 2013 in London. The project aims to investigate research data in the visual arts, apply technology to support its collection and preservation, and develop policies and case studies to share best practices. The agenda covers updates on partner reports, technical demonstrations, sustainability, and conclusion of the project.
20130108 kaptur uca_as
Update on progress at University for the Creative Arts given by Anne Spalding at the KAPTUR Steering Group meeting, 8th January 2013.
20130108 kaptur ual_sm
Update on progress at University of the Arts London given by Sarah Mahurter at the KAPTUR Steering Group meeting, 8th January 2013.
20130108 kaptur technical_cs
The technical report summarizes work from the KAPTUR project including:
1) An environmental assessment report analyzed researcher data practices and found they want to share research but with privacy.
2) A technical analysis reviewed 17 systems and recommended piloting Figshare and DataStage.
3) A costing model analyzed institutional vs cloud hosting and identified risks and integration challenges to cloud computing.
4) The meeting presented on piloting Figshare, DataStage, EPrints and CKAN as research data management systems.
Kaptur’ing the benefits
The document outlines several potential benefits from the KAPTUR project including improved compliance with funder requirements, adoption of research data management policies, awareness of issues in research data management, availability of findable datasets, user understanding of research data management, and organizational practice and risk management. It then provides details on how evidence will be gathered and presented for each benefit, including tracking metrics, case studies, analyses, quizzes, and sections within a final report.
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Kaptur rburgess 18th july 2012
- 1. Developing a Research Data Management Policy The Glasgow School of Art in conjunction with KAPTUR Dr Robin Burgess 18th July 2012
- 2. Policy Development • Involvement of Kaptur • Support from project partners • Liaison with outside sources – e.g. the DCC • Attendance at events – Conference in Leeds • Involvement of interested parties at GSA – IT, Information Services and the Library, Research Office, Researchers • Working Groups
- 3. Approach • Context • Iterative process • Definition of research data • Discussions held • Policy statements • Obtaining feedback • Implementation methods • Sign off and agreement
- 4. Comments Issues: Lessons Learnt: • Building the support • To be open and discuss network at GSA the work fully • Extensive focus on the • Identify the correct people REF process to engage with • Changes in management • Formulate an action plan • Changes in staffing for development • Expressing the • Communicate importance of policies • Obtain by-in early on • EPSRC letter
- 5. Next Steps Moving Forwards: Additional Work: • Complete draft policy • Present at an All Staff document by 31st July meeting about Kaptur • Share with Head of • Educate the research Information services office on the importance • Make relevant changes of the policy for bid and share with research writing/funding office • Educate research staff • September 2012, present through workshops to executive group • Promotional work
- 6. What is Arts Research Data? What is arts research data? What is arts research data? What does it mean to you? We tried to find out Research art design architecture We asked various researchers I’m going to tell you And this is what we found…