DTL PLAN OF APPROACH 2015 UPDATE NOV 2015
DTL PAC mee*ng Nov 13th 2015
DTL PLAN OF APPROACH 2015 UPDATE NOV 2015 DTL PAC mee*ng Nov 13th - - PowerPoint PPT Presentation
DTL PLAN OF APPROACH 2015 UPDATE NOV 2015 DTL PAC mee*ng Nov 13th 2015 2015: IMPLEMENT DTL AS NL-WIDE PLATFORM DTL network and partnership further strengthened n n Network and formal partnership extended ambition: 35+ partners in 2015
DTL PAC mee*ng Nov 13th 2015
n
n Network and formal partnership extended
§ ambition: 35+ partners in 2015 § strategic alliance with technology & sector initiatives
n Funding base strengthened
§ for core team: grow to 65% funding by partners § generate (leads for) external funds for team & partners
n Involvement of network strengthened
§ local DTL teams, IGs/WGs, PAC & SAC, annual meeting n
n Strengthen link among DTL ‘hotels’ and secure 3rd call n External funding for ELIXIR-NL coordination & services n DTL/ELIXIR-NL as LS data expertise and infrastructure
layer in NL-health infrastructure
n DTL (FAIR) data stewardship expertise network ready
for NWO and EC guidelines, and funding (5%)
n Build ICT4LS programme: LS on board of ICT roadmap
Data Learning Technologies
1 – Network of accessible data expert groups and data infrastructure facilities connected across DTL Partnership
available across sectors and technology areas;
to stimulate collaboration on common technology
2 – DTL data stewardship operational
worked out, implemented in first projects, and basic tools assembled from partner groups
major LS data projects and FAIR data approach communicated among DTL expert groups/hotels.
3 - ELIXIR-NL basis for LS data approach
collaboration with international groups
plus NWO and EC
Personnel
Other
institutes and sectors, well-connected to international initiatives
data stewardship & data integration
training in LS big data management
infrastructure (incl. e-infrastructure, data resources, tools, standards, courses)
1 – Enhanced access to DTL associated technology & data expert facilities
an updated ‘deep’ profile on the DTL web portal.
harmonising their data approach. Goal: FAIR data stewardship adopted in the majority of the DTL associated facilities and expert groups by 2016.
experimentation and data integration plus on ‘quality, access and sustainability models for technology facilities.
sector agendas on research infrastructures
2 – Active participation in designing ZonMw/ NWO hotel calls 2015/16 and secured funding
using lessons learned in 2013/14 and 2014/15. FAIR data stewardship implemented as criterion.
ZonMw to judge data sections of (hotel) projects.
lobby to broaden the hotel concept to other NWO/ZonMw calls (for instance VENI/VIDI/VICI).
technology facilities, developers and service providers in academia & industry
technology expertise and facilities, and link them to promote integrated projects and FAIR data stewardship
research infrastructures across the DTL partnership, involving the partners, technology communities and funders.
Personnel
Other
network across the DTL community and mobilise in international initiatives.
(post-) HBO programmes and industry
novel technologies and on LS data integration and stewardship
for training and education
Personnel
RadboudUMC)
Other
location, catering, venues, ..)
1 – NL-network of training coordinators & experts
priority themes Big Data and FAIR Data stewardship
new research school on bioinformatics and systems
community
part of the NFU data4lifescience initiative
2 – Data-related courses set up/co-organised
data-related courses in NL
3 – Comprehensive DTL course portal
1 – DTL community approach implemented
implemented through pilot
the DTL community
2 – Communication approach implemented
developed and implemented
basic communication material available
3 – DTL portal offers overview of life science data & technology capabilities of DTL partners
jobs and news, plus specific pages per partner; all better profiled, with enhanced search module.
available through DTL website.
(connecting existing communities)
technology expertise and challenges to drive innovation and reduce redundancy
capacities of the DTL partnership
sciences data & technology information
Personnel
Other
1 – First cross-sector/cross-technology initiatives established
core aspects of NFU Data4lifescience programme & established connections to e.g. beta faculties
make life sciences core to ICT roadmap and COMMIT2DATA: claim in NWO Big Data agenda.
2 – Progress in consolidation and coordination among technology infrastructure initiatives
and mechanism set up to coordinate among these infrastructure initiatives (e.g. NL-Health RI)
SURF, DANS and BioSB to strengthen access to e- infrastructure/e-science and training.
requirements of NWO/ZonMw/STW, and EC.
3 – Industry actively involved in DTL
technology companies involved in DTL network to broaden innovation potential and have better access to professional services in DTL partnership.
network of data & technology experts within and among sectors and technology centres
data stewardship policies and engage government and research funders
technologies & professional services: technology providers & service providers
Personnel
1 – DTL has nation-wide partnership and is recognised by partners as the collective data & technologies platform
funding base ensured to facilitate DTL partners and
2 – Strong relations network established with partner executives, ministries, NWO, EC, ..
network of NL-ministries, funders, partners and sectors yields funding opportunities for priorities in DTL partnership;
3 – DTL core team has technical coordination capacity to enable tuning among partners.
through in kind contributions) to strengthen DTL role to facilitate exchange and coordination in alliance
data platform enabling integrated life science research and technology advances of DTL Partnership.
government, EC & international players
team to facilitate the DTL partnership.
Personnel
Other
n
n Network and formal partnership extended
§ ambition: 35+ partners in 2015 § strategic alliance with technology & sector initiatives
n Funding base strengthened
§ for core team: grow to 65% funding by partners § generate (leads for) external funds for team & partners
n Involvement of network strengthened
§ local DTL teams, IGs/WGs, PAC & SAC, annual meeting n
n Strengthen link among DTL ‘hotels’ and secure 3rd call n External funding for ELIXIR-NL coordination & services n DTL/ELIXIR-NL as LS data expertise and infrastructure
layer in NL-health infrastructure
n DTL (FAIR) data stewardship expertise network ready
for NWO and EC guidelines, and funding (5%)
n Build ICT4LS programme: LS on board of ICT roadmap
Data Learning Technologies
1.
n Short introduction of new partners (Annex 1)
2.
n Enabling Technologies: hotel experiences (Gabino Sanchez, WUR) n Collaboration Topsector LSH (Nico van Meeteren, director LSH) n Radboud Research Facilities (Alain van Gool, Radboudumc) n ‘European Open Science Cloud’ (Barend Mons) n Infrastructure for personalised medicine & health research (vision KNAW
n Discussion
1.
2.
3.
4.
n Broad and growing partnership, strong expert community,
n public & private, cross-sector n courses, workshops, collaboration among partners gearing up
n Front-runner in international FAIR data movement
n ELIXIR, EOSC, growing tech team n first (leads) to flagship projects and core resources
n Strategic connecting position: relationships with many major
n DTL drives alignment on NL.health-RI vision n bridging LS sectors & ICT (science/innovation&infrastructure) n government & sciences funders get engaged
n Full support for NL Health research infrastructure initiative
n Science case: “Personalized health and medicine” n Technology case: longitudinal measurements of health and disease,
n Develop and deliver tangible products for FAIR data stewardship n Develop a quality seal for DTL technology hotels and assist in
n Set up taskforces involving partners to realise DTL ambitions n Intensify communication with partners and reach out beyond the
n New large industry partners (several leads) n NL-funding base for ELIXIR-NL lacking n DTL chain of hotels 2.0!
n Broadening reach of hotel funds (science & tech companies) n connection: quality seal, data stewardship,…
n Tangible benefit programme for DTL partners
n access to resources and courses (e.g. FAIR data / BYOD’s) n consulting & matchmaking n participation in projects, calls, services, ...
n Communication
n ‘inreach within network’ & outreach outside partnership
n Implement a NL FAIR data environment n Prepare to build an integrated NL-Health Research Infrastructure n Implement ring of top-level expert groups and their facilities (hotels) n Develop NL-wide training programme for life science data experts n Start up ‘NL-Life Science Cloud’ with national stakeholders n Implement ELIXIR-NL programme n Further build DTL organisation and network n (Co-)organise meetings and workshops