Building the social and technical bridges to enable open sharing and re-use of data
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21 Dec 2020
IG

Sensitive Data Interest Group

Status: 
Recognised & Endorsed
Chair (s): 
Kristal Spreadborough, Aleksandra Michalewicz, Nichola Burton, Steven McEachern, Romain DAVID, Dharma Akmon, Kristan Kang, Sarah Davidson, Frankie Stevens
Secretariat Liaison: 
enquiries@rd-alliance.org
TAB Liaison: 
Frankie Stevens

Sensitive data is increasingly used for research purposes. However, there are a number of barriers which need to be overcome before sensitive data can be fully operationalized in the research context. Chief among these is that not all sensitive data is alike, with significant disciplinary variation in how sensitive data is defined, linked, managed, stored, and reused. Additionally, common approaches to data optimization are not always appropriate for sensitive data, such as the relationship between the FAIR and CARE principles for data management. Nonetheless, sensitive data has significant

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07
Nov
2020

Enhancing Access to Research Data to Combat COVID-19: Recommendations to Funders

By Mary Uhlmansiek

This briefing focuses on the higher level recommendatins to help policymakers and funders maximise timely, quality data sharing and to formulate appropriate responses during public health emergencies, and are meant to provide expert advice to funders on how to support and foster the best possible approach to research dissemination at a systems level, while also providing guidance on shaping grant conditions for COVID-19 research that will promote timely and reusable sharing of research outputs.

19 Oct 2020
WG

Discipline-specific Guidance for Data Management Plans WG

Status: 
Recognised & Endorsed
Chair (s): 
Daniela Hausen, Briana Wham, Jessica Hrudey, Holly Murray, Shannon Sheridan, Ivonne Anders, Yasemin Turkyilmaz-van der Velden, Santosh Ilamparuthi
Secretariat Liaison: 
Bridget Walker
TAB Liaison: 
Niels Deriemaecker

Many research funding agencies expect DMPs which receive valuable metadata about the project as well as collected and analyzed data. In order to use DMPs profitably for researchers in their everyday life and not to create another bureaucratic hurdle, adjustments are needed on the side of the tool providers as well as in the templates.

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