The most used commercial cloud services by researchers was Dropbox (29%), 17% was using WeTransfer and 28% of the respondents were using Google Cloud.
As regards the access of these cloud services 64% of researchers accessed for free, 47% personally pay for these services and for around 33% the cloud service is funded by their university.
Almost half of the respondents (49.3%) need a medium capacity of commercial cloud services with high processing needs, requiring large amounts of software and data. A third of the respondents (34%) have low processing needs that require small-scale software and light data usage. A small proportion (16%) has intensive processing needs, necessitating huge software and data usage.
More specifically, the features most appreciated by researchers were accessing storage (64%) and computing services (51%). Researchers were also looking for engineering software tools and services, such as MATLAB, Mathematica, Ansys and AutoCAD (30%) and artificial intelligence, machine learning, and deep learning services, such as Keras and TensorFlow (20%).
The EOSC-hub study goes on to present a business model analysis in the EOSC context, with a specific focus on proposing mechanisms for acquiring digital services, based on the use cases where a researcher may look to acquire services on demand.
Looking to the next steps the main work will be to further develop the identified business models and consider public-to-public, private-to-public and public-to-private scenarios also in relationship to the wider funding environment in order to identify opportunities to enable a virtuous EOSC ecosystem
The respondents involved in the Analysis were in total 72 persons, 53% female and 47% male, citizens of 31 different countries, 18 EU members states. The majority of the respondents had a PhD (40%) or were a postdoctoral researcher (36%), just a minority were assistant professors (7%) and associate professors (7%). They had very different backgrounds, the most represented fields were engineering and technology (29%), natural sciences (16%), social sciences (15%) and medical and health sciences (15%).