1. NFFA-EUROPE: Information and Data Management Repository Platform for nanoscience in Europe LOGO of your Pilot – organisation / initiative Stefano Cozzini JRA3 leader CNR-IOM Italy Stefano.cozzini@iom.cnr.it

2. NFFA-EUROPE JRA3 GOAL: setup an IDRP for the project

3. NFFA-EUROPE IDRP Challenges Challenges – A nanoscience community (“Bottom-up”) effort to identify/define data needs and metadata standards for nanoscience – make the NFFA data management e-infrastructures to fit with global implementation and settings of emerging data management e-infrastructures Can we survive without ? – LACK of NFFA data management e-infrastructures will hinder TNA activities and full exploitation of the distributed facility

4. IDRP role and pros Advantanges For TNA and users: Standardized data access to all facilities (portal: easy-to-use) Data is worldwide discoverable and accessible Data from various facilities can be aggregated Data is publishable for open access Advantages for NFFA-Europe: Meets recommendations from e-IRG Meets recommendations from RDA Impact to EC and other infrastructure initiatives

5. Why EUDAT? Cooperation with EUDAT is obvious and natural choice. Key point: Integrate already available data services within NFFA-EUROPE IDRP rather than developing them from scratch Examples so far identified: – Provide data with clear identity via EUDAT services to offer the data identifiers functionality out-of-the-box – Support sharing of long tail experimental data (via B2SHARE) – Provide easy and flexible discovery of data in a central location (via B2FIND) – Explore opportunities for scalable and trusted storage and replication of raw experimental data (via B2SAFE) These services to be integrated into the NFFA-EUROPE IDRP

6. The expected future impact Nano-science community shares needs and tools with other community so NFFA-IDRP could be beneficial for many of them. A major innovation potential: – Develop a sensible data access and data reuse policy for the NFFA-EUROPE. – IDRP that supports common cases for intellectual property management like giving academic and innovation credits to researchers who collect and process experimental – Sustainable supply of persistent data identifiers should support this common business case of data reuse and intellectual property management.