As the annual conference has been moved to next year we have been looking into how to repurpose some of the planned content for the Smart Tools Workshop. We have planned a series of short 30min presentations on topics relevant to SFI Offshore Mechatronics. We are trying to schedule most of the presentations to Thursdays 12.30-13.00 (CET) every two weeks starting on the 8th of October. The following presentations are planned in 2020.

• October 8th: Olav Egeland, NTNU: Rigid-Body Kinematics (note that this presentation starts at 12.15 instead of 12.30)
• October 22nd: Igor Goncharenko, Open Science coordinator at University of Agder: Data management
• November 5th, Asle Pedersen, SFI Offshore Mechatronics: Patent and scholarly search and analysis using Lens.org
• November 19th: Christian Auby, UiA: Why use Docker, Git and Python
• December 3rd: Christian Auby, UiA: How to use Docker, Git and Python

After the formal presentation (12.30-13.00) you are welcome to grab a coffee and stay in the online meeting for a more informal chat and discussion. If we have sufficient attendance and response for the presentations we will continue with the webinars next year. The topics can be research topics or more practical related to research methods, tools or similar. Get in touch if you would like to give a presentation yourself or have a suggestion for topics. All presentations will be announced here.

 

 

 

 

 

 

 

 

SFI Offshore Mechatronics is committed to follow the FAIR principles for scientific data management and stewardship. The FAIR principles provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets.

The center is already using Github to publish source code and now we are adopting Dataverse.no to publish datasets. Dataverse.no is hosted by University of Tromsø and is based on the The Dataverse Project, developed by the Dataverse Team at the Institute for Quantitative Social Science (IQSS) at Harvard University.

To publish datasets related to our center, we have secured a sub-respository under the UiA Open Research Data repository (https://dataverse.no/dataverse/mechatronics). Each dataset published to Dataverse gets a unique DOI identifier which can be referenced in scientific publications. We expect that publishing datasets to Dataverse.no will improve reuse of data external to the center but also internally between researchers in the center.

Publishing digital assets and datasets will follow the same internal approval procedures as with scientific publications. If required, datasets can be put under embargo which means that it will not be published before a certain date.

The UiA Library and Open Science coordinators are very helpful and ready to assist with publishing datasets and provide templates and practical guidelines. On October 22nd 12.30-13.00 we will have a webinar with a presentation about data management publishing datasets.