D3.5 Initial Data Management Plan

Sep 20, 2021 | Deliverables

This deliverable is the initial version of the Data Management Plan (DMP) of the ProCancer-I project, in accordance to the regulations of the Pilot action on Open Access to Research Data of the Horizon 2020 program (H2020). It contains provisional information about the data that will be produced and collected within the project, whether and how it will be made accessible for reuse and further exploitation, and how it will be curated and preserved.  

Information about the main categories of the ProCancer-I data are provided in the Data introduction section. In Section 2, we provide a detailed description of the data that will be gathered and processed for each work package (WP), as well as of the data collection, documentation, metadata generation and data assessment mechanisms. Furthermore, the tools for data storage and methodologies for ensurying data security are also presented in this section. Next, Section 3 describes how the data management plan is aligned with the FAIR principles. General Data Protection Regulation (GDPR) regulation and its application to the ProCancer-I project is described in section 4, while ProCancer-I Open Data in Section 5 deals with the participation of the ProCancer-I in Open Research Data Pilot (ORDP). Finally, the project risks and proposed mitigation measures and related ethical aspects raised by ProCancer-I research are provided in Section 6 and 7, respectively.  

This is an initial version of the Data Management Plan of the ProCancer-I system. The datasets described at this stage, represent an early reflection on the data that we foresee to collect or generate. Given that the DMP is a living document, it is expected to be further modified or detailed during the lifetime of ProCancer-I. The information can be made available on a finer level of granularity through updates as the implementation of the project progresses and when significant changes occur. Those changes might include new data, changes in consortium policies ( e.g. new innovation potential, decision to file for a patent) or changes in composition and external factors (e.g. new consortium members joining). Nevertheless, main principles – as described within this deliverable – is expected to remain intact until the end of the project, thus forming the main strategic axes of the overall Data Management Plan.  

At minimum, the DMP will be updated in the context of the periodic evaluation/assessment of the program, but it is foreseen that the implementation of the DMP at project level will also be part of the annual reporting. The final version of the DMP will be delivered at M36 within the deliverable “D3.6 Final data management”.

Highlights

ProCAncer-I in the IEEE-MeMeA Conference in Taormina

ProCAncer-I in the IEEE-MeMeA Conference in Taormina

We are looking forward to participating it the upcoming IEEE-MeMeA Conference in Taormina! The 17th edition of IEEE International Symposium on Medical Measurements and Applications will take place in Giardini Naxos, Taormina in the metropolitan area of Messina,...

1st ProCAncer-I Project Dissemination Event in Vienna

1st ProCAncer-I Project Dissemination Event in Vienna

We are really happy to announce that we will be present at the ECR Congress in Vienna on 13 - 17 of July 2022. During the congress, a special Session will take place  on the 15th of July, presenting and discussing on the ProCAncer-I project with the title: Building...

Use Cases mapped along the prostate cancer management continuum

Use Cases mapped along the prostate cancer management continuum

Nowadays, prostate cancer is highly curable if detected in its early stages. Indeed, when organ-confined at diagnosis, the five-year survival rate of prostate cancer is close to 100%. Unfortunately, current prostate cancer diagnostic pipeline has several limitations. Prostate specific antigen (PSA) has a low sensitivity and specificity.

👏New paper published! 👏
How the ability of radiomic features to discriminate different image textures varies with the volume of the analyzed region.
➡️ https://www.mdpi.com/2076-3417/12/11/5465
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#cancer #reasearch #health_data #data_imaging #artificialintelligence #ai #health #data

We are looking forward to participating it the upcoming IEEE-MeMeA Conference in Taormina with a👉 special session & a👉study!
Read more 👉https://www.procancer-i.eu/news/procancer-i-in-the-ieee-memea-conference-in-taormina/

#H2020 #EU_HEALTH #artificialintelligence #ai #health #data #IEEE #memea2022

Professor Tsiknakis took part in a recent feature in the @EUCouncil site on data availability in the 🇪🇺EU🇪🇺 and the use of #data for research purposes and innovation. Read more ⬇️
https://bit.ly/3NLvpD0
#ai #data #H2020 #EU_HEALTH

Nowadays, #prostatecancer diagnosis is not ideal. It usually requires a painful procedure and is not always exempted from certain side effects. So, is it possible to detect this pathology in a non-invasive way?
https://bit.ly/3mtX8ft
#AI

👏Congrats!👏
New conference presentation "On the Effectiveness of 3D Vision Transformers for the Prediction of Prostate Cancer Aggressiveness" at the workshop "Medical Transformers" afferent to the #ICIAP2021
#H2020 #EU_HEALTH #cancer #reasearch #health_data #data_imaging #ai

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