Universities unite for consistency in research data management – ARDC

“In an outstanding collaborative success, 25 of Australia’s 42 universities are coming together to develop a framework to bring consistency to the management of research data across the university sector.

The universities answered a call in 2020 to be part of the ARDC Institutional Underpinnings program, to develop, test and validate a nationally agreed framework for research data management. The program aims to increase Australian universities’ capability in research data management and encourage collective problem-solving and alignment across the sector and the 25 participating universities were announced this week….”

Research Data Management

“The Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council (NSERC) and the Social Sciences and Humanities Research Council (SSHRC) (the agencies) are pleased to announce the launch of the Tri-Agency Research Data Management Policy. The agencies would like to thank the stakeholders and partners who contributed to the policy’s development….

The policy includes requirements related to institutional research data management (RDM) strategies, data management plans (DMPs), and data deposit. It is aligned with the data deposit requirement in the Tri-Agency Open Access Policy on Publications (2015), CIHR’s Health Research and Health-Related Data Framework (2017), the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans—TCPS 2 (2018), and the agencies’ Setting new directions to support Indigenous research and research training in Canada 2019-2022 (2019)….”

Why Won’t They Just Adopt Good Research Data Management Practices? An Exploration of Research Teams and Librarians’ Role in Facilitating RDM Adoption

Abstract:  Adoption of good research data management practices is increasingly important for research teams. Despite the work the research community has done to define best data management practices, these practices are still difficult to adopt for many research teams. Universities all around the world have been offering Research Data Services to help their research groups, and libraries are usually an important part of these services. A better understanding of the pressures and factors that affect research teams may help librarians serve these groups more effectively. The social interactions between the members of a research team are a key element that influences the likelihood of a research group successfully adopting best practices in data management. In this article we adapt the Unified Theory of the Acceptance and Use of Technology (UTAUT) model (Venkatesh, Morris, Davis, & Davis, 2003) to explain the variables that can influence whether new and better, data management practices will be adopted by a research group. We describe six moderating variables: size of the team, disciplinary culture, group culture and leadership, team heterogeneity, funder, and dataset decisions. We also develop three research group personas as a way of navigating the UTAUT model, and as a tool Research Data Services practitioners can use to target interactions between librarians and research groups to make them more effective.

 

Information Sharing Session: Building Library Capabilities for Research Data Management Services | NTU Library

“With more funders and journal publishers placing greater emphasis on research data, COAR-Asia OA and Research Data Management (RDM) Librarians from the Nanyang Technological University will be facilitating a free online Information Sharing Session for librarians to discuss the following questions:

What roles can the academic library play in research data management and sharing? 
What competencies are needed for librarians to develop as they move into their new roles in research data services? 
What would the first steps look like? …”

The State of Open Data 2020 #StateOfOpenData – Digital Science

“Our portfolio company, Figshare, has today launched its annual report The State of Open Data 2020. The report is the fifth in the series and includes survey results and a collection of articles from global industry experts, as well as a foreword from Dr Leslie McIntosh, CEO of Ripeta and Executive Director, Emeritus – Research Data Alliance US.

The State of Open Data is now the longest running longitudinal study on the subject, which was created in 2016, to examine attitudes and experiences of researchers working with open data – sharing it, reusing it, and redistributing it.

This year’s survey received around 4,500 responses from the research community and had an additional focus on research practices in the wake of the COVID-19 pandemic. It asked researchers how the pandemic was impacting their ability to carry out research, and their views on reuse of data and collaboration….”

Research Data Services in US Higher Education | Ithaka S+R

“This report presents the results of an inventory of research data services offered by US colleges and universities using a systematic web searching process. Our results represent a holistic, quantitative picture of services that support data-driven research across organizational units and institutional types.

In addition to sharing these findings, we have also provided extensive methodological documentation in hopes of inspiring and enabling future research. Until now, there has been no effective methodology for capturing quantitative data about the provision and organization of research data services across diverse institutional structures. Although there are limitations to this type of web-based inventory, the advantages over other research methods, such as surveys, are significant for measuring what research data services are offered and where. We discuss the scope of our study below and provide additional methodological details in the Appendix….”

Who Does What? – Research Data Management at ETH Zurich

Abstract:  We present the approach to Research Data Management (RDM) support for researchers taken at ETH Zurich. Overall requirements are governed by institutional guidelines for Research Integrity, funders’ regulations, and legal obligations. The ETH approach is based on the distinction of three phases along the research data life-cycle: 1. Data Management Planning; 2. Active RDM; 3. Data Publication and Preservation. Two ETH units, namely the Scientific IT Services and the ETH Library, provide support for different aspects of these phases, building on their respective competencies. They jointly offer trainings, consulting, information, and materials for the first phase.

The second phase deals with data which is in current use in active research projects. Scientific IT Services provide their own platform, openBIS, for keeping track of raw, processed and analysed data, in addition to organising samples, materials, and scientific procedures.

ETH Library operates solutions for the third phase within the infrastructure of ETH Zurich’s central IT Services. The Research Collection is the institutional repository for research output including Research Data, Open Access publications, and ETH Zurich’s bibliography.

RDM-Services – Events – GÉANT federated confluence

“This collaborative workshop will explore different service delivery models that research institutions can adopt when supporting data management. These could apply to research information management systems (CRIS), data repositories, e-Lab notebooks and many other platforms.

Delivery models typically include open source software that is supported in-house, outsourced hosting of OSS, vendor-supported commercial services, and bespoke institutional services. Various partnership models supported by institutional groups, national consortia and NRENs will also be explored.

The workshop will run adjacent to the 16th Research Data Alliance plenary in Costa Rica. In order to support international participation, all sessions will take place daily at 20:00-22:00 UTC – Check your timezone here.  Attendees can sign up for individual sessions.

Monday 2nd November: Opening panel and workshop introduction
Tuesday 3rd November: Procurement pain points
Wednesday 4th November: Open Source business models
Thursday 5th November: Partnerships
Friday 6th November: Closing discussion …”