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Research Data Management Toolkit: Sharing/collaborating

Best practices in Research Data Management promote research integrity and collaborative opportunities. A Data Management Plan ensures data security, accessibility and validation of results.

Data sharing with collaborators

The level of sensitivity of your data will determine who can access it. Some data might only be accessible by a very small number of individuals, and other data might be accessible by the entire project group.

Even for working data, consider strategies to minimize restrictions on sharing. These may include anonymizing or aggregating data, gaining participant consent for data sharing, gaining copyright permissions, and agreeing a limited embargo period. It might not be necessary to collect sensitive data for your research which then reduces the classification level and who can access the data. 

Further information

The ANDS De-identification guide (6 page pdf) describes the continuum from identifiable to non-identifiable data.

UWA Library hosted a panel discussion with researchers from a range of subject areas on de-identifying their data as part of Open Access Week in 2020 (60 mins):

 

Which storage options are best for collaboration?

The data storage matrix provides guidance for choosing your storage system at varying levels of sensitivity - the higher the level of sensitivity, the higher the level of security which will be required. Some systems provide easier access to external collaborators than others, and conisderations such as the size of your data and ability to sync with a local copy will be factors affecting your choice of storage system.

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 Except for logos, Canva designs or where otherwise indicated, content in this guide is licensed under a Creative Commons Attribution-ShareAlike 4.0 International Licence.