AIMS

Take Survey on Metrics and Indicators to help share Good Practices in the Agricultural context !

20/09/2017

Birds of a Feather (BoF) Group Metrics and Indicators in Agricultural Sciences conducts a SURVEY to find out about how metrics and indicators are used in the agricultural sciences and create an inventory of good practices and different experiences in relevant institutions.Please take a few minutes to fill out ...

Identify and Manage Data Ethics with a new ODI approach : The Data Ethics Canvas

20/09/2017

The Open Data Institute (ODI) has developed a new approach for organisations to identify and manage data ethics considerations: the Data Ethics Canvas. Data ethics is a rapidly emerging area. Increasingly, those collecting, sharing and working with data are exploring the ethics of their practices and, in some cases, being ...

Open Scholarship Output, Evaluation and Effects ... towards Responsible Metrics

19/09/2017

(Image source: Knowledge Exchange approach towards Open Scholarship, KE, 2017 (*))Within the shift toward Open Scholarship - "here [*] intended as an inclusive synonym for Open Science, Open Research, Science 2.0 and other similar terms" - we need deeper understanding of HOW the MOTIVATIONS of different actors are affected by the interactions between ...

Free resources to gain a valuable understanding in Peer-Review processes

18/09/2017

(Image source: WILEY)Peer Review can be seen as a process matrix of a sequence of  activities with rules to progressively assess and predict  the quality of published research... The Review by peers is a tried and tested method for the evaluation of new findings before publication … it places great ...

Copyright. Creative Commons. Sensitive information. Security Classification ... What is it all about?

15/09/2017

This essay focuses on Copyright, Creative Commons, Sensitive information and the role of Data Classification in determining baseline security controls for the protection of sensitive data. "With many Data Science Applications based on Large and often Sensitive Data sets, Data Security is increasingly important".  As science becomes more data-intensive and ...