RDMToolkit. The Case for Coordinated Action – eResearch 2020. The goal of the National Research Data Programme is to encourage.
The strategic opportunity is to transform the quality and impact of research output in New Zealand through a programme of major professional development and training, along with implementation of significant national collections and meta-data curation that enable data co-location and additional data use. This opportunity is available now due the aging demographics of the research sector workforce; the change in cultural attitudes towards data sharing and adoption of digital technologies, and the falling costs of data-related infrastructure and services at a global scale. The way data is considered by international research funders and the heightened expectations of peer reviewers for international publishing are lifting the bar for New Zealand researchers working on the global stage.
At a national level, New Zealand will not achieve our strategic science goals without a coordinated strategy for research data.” Research Data Management. Background: the emerging role of data management in research libraries I first became aware of research data management as a frontier area of expertise for libraries and librarians almost 10 years ago.
Tony Hey was one of the first to popularize the term ‘e-science’ and the idea that librarians had a role to play in managing research data. Building a user-friendly RDM maturity model. UC3 is developing a guide to help researchers assess and progress the maturity of their data management practices.
What are we doing? Researchers are increasingly faced with new expectations and obligations in regards to data management. To help researchers navigate this changing landscape and to complement existing instruments that enable librarians and other data managers to assess the maturity of data management practices at an institutional or organizational level, we’re developing a guide that will enable researchers to assess the maturity of their individual practices within an institutional or organizational context. Our aim is to be descriptive rather than prescriptive. We do not assume every researcher will want or need to achieve the same level of maturity for all their data management practices. Existing Models As a first step in building our own guide, we’ve researched the range of related tools, rubrics, and capability models. Our Guide Next Steps Have we missed anything? Blog about all things data from the California Digital Library.
23 (research data) Things - ANDS. v1. 'Traditional' benefits of sharing - infographic by Danny Kingsley and Sarah BrownSharing is fundamental to being an academic: Ideas and results need to be shared to move human knowledge forwardNon-positive results need be shared not to waste time and resourcesShare once and don’t be bothered - describe the data once in a repository, add the link to data in your paper and don't be troubled by e-mails with data requests coming to the corresponding authorBe able to find your own data and ensure continuity of your researchGet access to data shared by others Fork me on GitHub.
Data sharing systems gap analysis. N.B. this is an early draft for comment, and may not reflect the final analysis that takes place.
Introduction With ORDA (Online Research Data), powered by figshare, in place as our main institutional data catalogue and repository-of-last-resort, we can now look at other areas of support. Although ORDA will provide for the needs of a large number of researchers, there is a significant minority of users whose requirements go beyond this. This document is an attempt to systematically evaluate those needs and identify potential further areas for development. Description of areas Security classification It helps to have a classification of the openness of data, so for the purposes of this gap analysis I will adopt the three-tiered scheme used by the UK Data Service:
Research data shared service. We’re working on a pilot service to allow researchers and institutions to meet their policy requirements for the deposit and curation of research data.
What we’re doing The pilot service will enable researchers to easily deposit data for publication, discovery, safe storage, long term archiving and preservation. PURR - Publications: Scaffolding for data management skills: From undergraduate education through postgraduate training and beyond. Initial work in identifying data management or data information literacy skills went as far as identifying a list of proposed competencies without further differentiation between those competencies, whether by discipline, complexity, or use case.
This document contains an evolution in existing competencies. ConcordatonOpenResearchData. Deposit your data with King's. Deposit your data with King's What is the King's Research Data Management System?
The university is developing an integrated data management service. UK Data Archive - CREATE & MANAGE DATA. 4 of 10: We hold the only copy of many of the UK's large national surveys charting social research back decades 5 of 10: We are an established national archive at the forefront of managing, preserving, sharing and delivering data 6 of 10: We are certified to ISO 27001, the information security standard, and helped develop the Data Seal of Approval.
