Category: IDCC 2017

Keeping the wheels turning @ TU Delft

Have you ever wondered how to implement RDM at university faculties? We at Delft University of Technology thought about it. Between the research community and the university library are quite a few support services in place, e.g. legal service, IT, finance. A Data Steward is the missing cog wheel that links to all existing wheels, enabling an even more powerful gear. If you want to shift your research support into next gear and want to know more about Advocating Data Stewardship at TU Delft, please follow this blog and contact us via email or Twitter.

To visualize the connections and features of every research support at TU Delft an how the new role of data stewards fit in, have a look at our poster:

idcc-poster_data-stewardship

And here the downloadable PDF version in higher resolution: tud-datasteward2017_poster

Short report of iDCC 2017

February 27th we reported back of the iDCC in Keek op de Week.
It was a pity that so few colleagues were there to listen to our enthusiast talks.
Madeleine presented: software sustainability, ma-DMPs, data carpentry, data science…
Jasmin explained the beautiful poster and the paper. Ellen talked on the ‘Essentials 4 Data Support, the train-the-trainer version’ and showed some pictures of the very engaged participants.
idcc17-keekopdeweek

FAIR Principles – Connecting the Dots for the IDCC 2017

In order to follow through our presentation at the IDCC17 in Edinburgh on the 22nd February 2017 we are providing some useful documents and links here.

Here you can find the pre-print and not peer reviewed version of the practice paper with the title ‘Are the FAIR Data Principles fair?’.

The corresponding Excel Spreadsheet with the evaluation overview of 37 data repositories, statistical analysis and graphical figures is available in our data archive under the name ‘Evaluation of data repositories based on the FAIR Principles for IDCC 2017 practice paper’.

Our very first approach on reviewing a data repository and using the FAIR principles as scoring matrix resulted in the following overview about the 4TU.Centre for Research Data called ‘FAIR Principles – review in Context of 4TU.ResearchData’.

The review in context of 4TU.Research Data helps to understand how we approached this quantitative evaluation of these repositories. Additionally we blogged about our interpretation of the FAIR principles and facets, to display the exact features the repositories have been measured against.

The initial spark for this research project was lit by the European Commission and their updated demands on data management for the Horizon 2020 projects. There are two versions of the FAIR Principles available online: a short list of the principles and appropriate facets, and the extended and guided version. The Nature article by the contributors and authors of the FAIR principles recaps the rationale behind the principles and the experiences of implementing them.

 

Guidelines on FAIR Data Management in Horizon 2020‘ by the European Commission.

The short version of the ‘FAIR DATA PRINCIPLES’.

The extended version of the ‘FAIR DATA PRINCIPLES’.

Read the Nature article ‘The FAIR Guiding Principles for scientific data management and stewardship‘.

 

FAIR Principles – 4TU.Research Data Interpretation of the Facets

The FAIR Principles are available online in two versions:
the short (https://www.force11.org/group/fairgroup/fairprinciples) and
the extended version (https://www.force11.org/fairprinciples).

We used the short version as scoring matrix for our FAIR Data Principles research project, resulting in an IDCC17 Practice Paper and a Excel Spreadsheet that includes an overview of 37 evaluated research data repositories.

You can also see this document as stand alone file here.