Reproducible Research Reproducible Research

 

We try to make and promote reproducible research, with the objective that publications are available including software and data online. 

Other actions to promote it:

Title: Imaging biomarkers: algorithms, open data and infrastructure for neurological disorders

Slides

Abstract: One of the major challenges in clinical neuroimaging is to detect quantitative signs of pathological evolution as early as possible in order to prevent disease progression, evaluate therapeutic protocols or even better understand and model the normal history of a given neurological pathology.

A particular challenge is to find correlations between brain structures at the morphometric, structural, metabolic or functional level through a large set of multimodal images. MRI is the premier means to study the human brain through various acquisition protocols. This presentation will illustrate this challenge through the use of novel cellular or structural MRI protocols able to provide relevant information at the cellular or micro-structural level.

Technological perspectives will be also provided about general issues of Medical Imaging as a Service in the context of the emerging open data services and digital infrastructures. After introducing the general context, some examples will be provided of how these new services can be implemented, and applied to neurological diseases, and especially Multiple Sclerosis.

Title: Scientific Dissemination, Online Repositories, and Author's Rights.

Title: Reproducibility in research.

Abstract: An objective of the María de Maeztu Strategic Research Program is “to increase the impact of our research by increasing the impact of the publications, datasets and software tools, and take advantage of this impact to establish and consolidate partnerships”. It includes actions to promote that the research results, datasets and tools are discoverable, interpretable and reusable, including the publication of the data and software together with the publications. During this session, we will discuss some of the topics linked to "reproducible research", including the increasing requirements in making datasets and computer code available by funding agencies, publishers and potential mechanisms to promote it in our organisation being elaborated in the context of the Maria de Maeztu program.

Ongoing draft document within MdM for good practices for discussion in this link

Video of the award ceremony

  • Data management: The UPF Library supports you in several aspects linked to Data Management, including the possibility to use the UPF repository to preserve your data. Check here for more details.