Category Archives: data life cycle

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Open Science, Open Data, Open Source: 21st century research skills for life scientists

Open Science, Open Data, Open Source is published by colleagues in the EU.

Its introduction offers: 

The goal of this resource is to give a bird’s eye view of the developments in open scientific research. That is, we cover both social developments (e.g. the culture in various communities) as well as technological ones. As such, no part of the contents are especially in-depth or geared towards advanced users of specific practices or tools. Nevertheless, certain sections are more relevant to some people than to others.

Audiences include:

  • Graduate students 
  • Lab technicians 
  • Data scientists
  • Principal investigators 
  • Scientific publishers 
  • Science funders and policy makers 
  • Science communicators.

 


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EMBL-ABR: an interview with Kate LeMay

Category : data life cycle

Kate LeMay works at the Australian National Data Service as a Senior Research Data Specialist, focusing on health and medical data. She was in Melbourne last month to attend our EMBL-ABR workshops. We asked her about bioinformatics in general and the data life-cycle in particular. Her message is clear: using a framework like the data life cycle ensures that Australian bioinformaticians are keeping up with best practice standards being used and developed internationally.

Full interview.