DTL update 2016 DTL Partner Advisory Committee June 10th 2016 SURF Utrecht www.dtls.nl
DTL DATA & ELIXIR-NL: UPDATE & OUTLOOK Rob Hoo& & Barend Mons www.dtls.nl
DATA STEWARDSHIP SUPPORT TAKING SHAPE n Stewardship is more than data management n Taking the life science perspective on data management n Connecting local & international efforts n Promoting FAIR & linked data: data stewardship for discovery n Collaborate n in SURF LCRDM n in NFU data4LS n in ELIXIR & RDA n with funders (e.g. ZonMw) n with partners, universities, industry § e.g. webinar Rob Hooft in Elseviers Publishing Campus: how to create a good data management plan (June 23)
FAIR DATA Wilkinson et al. 2016 Nature Scientific Data doi:10.1038/sdata.2016.18
Open Science Open Access FAIR data
Applications FAIR & Workflows e-Infra providers FOILS FAIR exchange FAIR Other Peoples’ Research Data Data
ENABLING TECHNOLOGY HOTELS UPDATE & OUTLOOK Merlijn van Rijswijk and Alain van Gool www.dtls.nl
DTL INFRASTRUCTURE STRATEGY n Scientific Advisory Committee of DTL concluded that DTL programs for Data, Technology and Learning are inter-dependent and require an integrated approach n Mapping of DTL facilities with ESFRIs (in particular ELIXIR, EATRIS, BBMRI, EU-OPENSCREEN, MIRRI, INSTRUCT and EURO-BIOIMAGING) n Transparency on quality for users of DTL facilities and funding organizations n Standardisation of DTL Technology facilities, in particular with regards to implementation of FAIR data stewardship. We will organize BYODs with technology communities, pilot proteomics n Creating a network of linked DTL facilities as a stepping stone towards more integrated infrastructures, e.g. Health-RI
TECHNOLOGIES HOTELS PROGRAMME OUTLOOK 3 rd round successfully completed, € 790.000 was awarded. 54 grant applications n received, 28 projects (52%) funded. DTL involved in evaluating the data section. ZonMw and DTL jointly evaluate first three calls n In NWO/ZonMw proposition 2016/2017 € 1.9 million available for continuation ETH n programme, due to broad topsector support (LSH, Agri&Food and Horticulture) There is a strong wish to open the ETH programme for public-public / “Excellent n Science” projects, besides public-private projects. Intended as stepping stone for broader implementation hotel concept in ZonMw/NWO programmes. Idea is to have ONE call in 2016/2017 with 0,95 M € for PPS and 0,95 € for “Excellent Science” projects. Call likely opens end 2016 Amendments in discussion with ZonMw for this call DTL wants to make private “service providers” eligible for executing ETH projects, n next to (public) technology hotels DTL wants to improve “booster” projects for SMEs, by changing requirement of n 1/3 “in cash” contribution to “in kind”
DTL LEARNING UPDATE & OUTLOOK Celia van Gelder & Jaap Heringa www.dtls.nl
DTL Learning/ELIXIR-NL Training: Bundling forces to face (inter)national training challenges Celia van Gelder Programme Manager DTL Learning/ELIXIR-NL Training Co-lead ELIXIR Training Platform Education Manager BioSB research school Jaap Heringa Sci. Lead DTL (Learning) (Dep.)HoN ELIXIR-NL Chair BioSB June 10 , 2016 DTL PAC Meeting
DTL LEARNING: Bundling forces to face (inter)national training challenges ■ Combine the education expertise of the DTL community: establish and mobilize network of training expertise and capacity across the DTL community ■ Together establish a comprehensive, internationally acclaimed and sustainable training portfolio with focus on novel technologies and on LS data integration and stewardship Majority of trainings is delivered by the DTL community (in kind ■ contribution) Main role of DTL Learning is showcasing, initiating, facilitating, ■ connecting and coordinating Comprehensive DTL Course Portal ■ ■ DTL Learning & ELIXIR-NL Training go hand in hand in area of data and compute ■
DTL LEARNING: ACTIVITIES ■ FAIR data training portfolio: Define competences needed and build courses related to Data Management & Stewardship, FAIR principles, BYODs DTL partners (a.o. LUMC, Elsevier) & ELIXIR ) ■ DTL-BioSB tandem offers broad portfolio of bioinformatics and systems biology courses with BioSB research community = DTL partners ■ Software Carpentry/Data Carpentry with NLeSC, Surfsara, VU, UMCU, ELIXIR (WUR, TU/e, UMCG also interested) ■ Galaxy Training Working Group with DTL Data, VU, NKI, ErasmusMC, LUMC, TraIT, BBMRI & ELIXIR ■ Metabolomics courses with DTL Technologies, NMC & ELIXIR ■ Infrastructure access for NL with Surfsara, NLeSC & ELIXIR ■ Big data module for HBO with DAS ■ Technologies Course with DTL Technologies MGC
DTL PARTNERS AND DTL LEARNING ■ Keep updated & informed: ■ learning-interest@dtls.lists.nl - List of the DTL Learning IG ■ Many partners have a contact person on this list. But not all yet. ■ In 2014 first overview of Training needs/gaps was performed by this group. ■ DTL Course Overview, http://www.dtls.nl/courses Structured and searchable overview of upcoming courses, trainings ■ and workshops Courses also visible on respective DTL partner pages! ■ Courses automatically transferred to ELIXIR training portal TeSS. ■ Active role of DTL Partners needed, make your courses visible! ■ ■ Most important: allocating people, time and energy to shape DTL’s training programme together Training as a uniter - setting up joint training ■ DTL promotes and assists in setting up working groups (DTL WGs) for ■ specific training needs. Active role of DTL Partners needed
DTL overall update DTL Partner Advisory Committee Ruben Kok www.dtls.nl
ONE YEAR AGO
40 PARTNERS PER TODAY DATA Computing DLO
CALL FOR DTL PARTNER SERVICES!
(FAIR DATA) SERVICES PLATFORM n Provide easy access to FAIR data services and tools n By DTL partners for DTL Partner s – everyone can participate 1 ST Example - n Create a joint asset out of DTL Partner services Knowledge platform service n n Stimulate non commercial ’open Free academic access for DTL n science’ collaboration Partners where user behaviour is ‘donated’ and made public n Blended funding model – partner Private access directly with investment, subsidies, support n Euretos , should user want this fees (academic or commercial)
HEALTH-RI 2025
Health-RI? CollecHve infrastructure for personalised medicine & health research General Personal Enabling high-quality combined analysis across health & health samples , imaging & omics output disease potenHal to allow interpretaCon of personal genotype , biology phenotype & lifestyle in relaCon to the global health and disease biology knowledge base BeIer personal health
HEALTH-RI 2025 Grand vision & roadmap n Life science & data science n Multistakeholder! n n academia, industry, government, hospitals, health funds, … KNAW agenda 2016 n Aggregate funding n opportunities n NWO Roadmap !: Build from ESFRI/e-Infra level n H2020/EOSC n EZ/VWS: Health Deal? Roadmap & action plan: Dec n 1st
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HEALTH-RI: ENABLING PERSONALISED HEALTH RESEARCH measure genotype & phenotype Biomaterial Model and data e.g. genomics, transcriptomics, proteomics, systems metabolomics, bioimaging, microscopy, collections quantified self, lifestyle, nutritional studies Biomedical & e-health Design of Research multi- Information project Agro disciplinary & Insight Health experiments objective Biomedical Nutrition & lifestyle data design, analytics & stewardship International e-health & reference e.g. bioinformatics, computer science, quantified biostatistics, computational (systems) biology, e- data self data science, ICT, … Linked-(FAIR)-data backbone for distributed analytics & learning
AGENDA 4TH DTL PAC MEETING (2ND PART) Organising the DTL ‘hotel-lobby’: How to get the most out of DTL and 4. get involved in DTL activities (Annex 3) n Introduction by Inge Schats n Workshop in parallel teams n Plenary conclusions Overall conclusions & advice to the DTL Board [16.50] 5. Closure and drinks [17.00] 6.
DTL WORK FORMS n Incidenteel n Focus meetings: solving a challenge vb: topics n ‘hackathons’ (collective prototytping) n courses/webinars, etc (training) n Structureel n hotel programme: chain of expertise groups & facilities n topical interest groups: exchange of expertise & latest developments n programmers meetings: developments in engineering n collaborative engineering team: guided engineering
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