BRAINTEASER ALS and MS Datasets
Description
BRAINTEASER Data Sharing Policy You need to satisfy these conditions in order for this request to be accepted: BRAINTEASER Data SharingSharing Research data is a necessary component of Research, encouraging more connection and collaboration between researchers, which can result in important new findings within the field. In order to promote broad, transparent and responsible data sharing the BRAINTEASER Project has developed the BRAINTEASER Data Sharing Policy reported in this guideline, within constraints of funders' and regulatory requirements, on when specific conditions of access should be put in place. The data sharing policy was developed in accordance with the General Data Protection Regulation (GDPR, EU Regulation 2016/679), which provides a number of bases for sharing personal information. Request for use of BRAINTEASER datasets Please inform us about your intended use of BRAINTEASER datasets by sending an email to brainteaser-data@dei.unipd.it Doing so will help us to keep track of ongoing research initiatives and allow us to facilitate collaboration of researchers, whenever possible. If you would like additional results, please submit a short, informal research proposal. Citations in publications When you report results of data that utilizes publicly available BRAINTEASER project data in any way, it is our policy that you: Acknowledge the BRAINTEASER Project Consortium by: Listing the “Brainteaser Project Consortium” among the co-authorOR Including the following statement in the acknowledgements:The authors would like to thank the ‘Brainteaser Project Consortium’ Cite the relevant publication of the original results. Clinical Data Summary statistics derived from environmental and clinical data registered with or without sensor recordings A - Studies using retrospective clinical data Retrospective clinical data derived from a huge and long term work of data collection performed for ALS by Prof. A. Chiò and colleagues in Turin and Prof. M. De Carvalho and colleagues in Lisbon. Retrospective data on MS patients were also collected in many years by Dott. P. Cavalla and colleagues in Turin and Prof. R. Bergamaschi and colleagues in Pavia. To obtain these datasets, the researcher should send a request for access to the data together with a detailed and structured study proposal that will be evaluated by the BRAINTEASER Project Data Committee in order to understand the purposes of the requesting research group. After the decision and authorisation, the requesting research group will receive all the information and data. The subsequent passage, following the analysis and the potential results, will be characterized by the revision and validation process made by the BRAINTEASER Project Data Committee. Requests including topics under current analysis by the members of this Consortium will be declined due to conflict of interests. Considering the aims of the proposed work and the amount of the dataset to be used, it could be requested inclusion of the project and their members either as main authors or as “Brainteaser Project Consortium” as co-authors in the publication. The inclusion request will be communicated by the BRAINTEASER Project Data Committee before the delivering of the dataset to external researchers. B - Studies using prospective clinical data from the Project All the participants in the BRAINTEASER Project will be included in the paper as part of the “Brainteaser Project Consortium”. An updated list of all participants will be provided periodically. Based on the different involvement in data analysis, interpretation and writing, a list of main authors will be also defined for each specific paper in addition to the “Brainteaser Project Consortium”. BRAINTESEAR Project Committee members Roberto Bergamaschi, University of Pavia, Italy Maria Fernanda Cabrera-Umpierrez, Technical University of Madrid, Spain Adriano Chiò, University of Turin, Italy Arianna Dagliati, University of Pavia, Italy Mamede De Carvalho, University of Lisbon, Portugal Barbara Di Camillo, University of Padua, Italy Nicola Ferro, University of Padua, Italy Jose Manuel Garcia Dominguez, Gregorio Marañon Hospital in Madrid, Spain Sara C. Madeira, University of Lisbon, Portugal José Luis Muñoz Blanco, Gregorio Marañon Hospital in Madrid, Spain
Resources
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http://data.europa.eu/88u/dataset/oai-zenodo-org-12789962 |
Tags
- brainteaser
- artificial-intelligence
- amyotrophic-lateral-sclerosis
- idpp@clef
- intelligent-disease-prediction-progression
- multiple-sclerosis