[{"data":1,"prerenderedAt":103},["ShallowReactive",2],{"paslaugos/data-pilot-2-0/lt":3},{"status":4,"data":5},true,{"image":6,"id":7,"seo":8,"title":49,"date":77,"url":73,"fullUrl":19,"text":78,"excerpt":18,"busena":79,"orientacine_starto_data":80,"galioja_iki":80,"ar_paslauga_terminuota":6,"zinute":81,"mokama":6,"daugiau_informacijos":80,"paryskinti_iki_pabaigos_likus_x_dienu":80,"dienos":80,"blocks":82,"naujienos_btn":70},false,6164,{"title":9,"robots":10,"og_locale":16,"og_type":17,"og_title":9,"og_description":18,"og_url":19,"og_site_name":20,"article_publisher":21,"article_modified_time":22,"twitter_card":23,"schema":24,"breadcrumbs":65,"description":52,"language":74},"Data Pilot 2.0 - Inovacijų agentūra",{"index":11,"follow":12,"max-snippet":13,"max-image-preview":14,"max-video-preview":15},"index","follow","max-snippet:-1","max-image-preview:large","max-video-preview:-1","lt_LT","article","Use real-world health data to build evidence that matters!","https://www.inovacijuagentura.lt/paslauga/data-pilot-2-0/","Inovacijų agentūra","https://www.facebook.com/inovacijuagentura","2026-05-24T11:21:59+00:00","summary_large_image",{"@context":25,"@graph":26},"https://schema.org",[27,39,50,55],{"@type":28,"@id":19,"url":19,"name":9,"isPartOf":29,"datePublished":31,"dateModified":22,"breadcrumb":32,"inLanguage":34,"potentialAction":35},"WebPage",{"@id":30},"https://www.inovacijuagentura.lt/#website","2026-05-10T05:28:37+00:00",{"@id":33},"https://www.inovacijuagentura.lt/paslauga/data-pilot-2-0/#breadcrumb","lt-LT",[36],{"@type":37,"target":38},"ReadAction",[19],{"@type":40,"@id":33,"itemListElement":41},"BreadcrumbList",[42,47],{"@type":43,"position":44,"name":45,"item":46},"ListItem","1","Titulinis","https://www.inovacijuagentura.lt/",{"@type":43,"position":48,"name":49},"2","Data Pilot 2.0",{"@type":51,"@id":30,"url":46,"name":20,"description":52,"publisher":53,"inLanguage":34},"WebSite","",{"@id":54},"https://www.inovacijuagentura.lt/#organization",{"@type":56,"@id":54,"name":20,"url":46,"logo":57,"image":63,"sameAs":64},"Organization",{"@type":58,"inLanguage":34,"@id":59,"url":60,"contentUrl":60,"width":61,"height":62,"caption":20},"ImageObject","https://www.inovacijuagentura.lt/#/schema/logo/image/","https://web-prod.inovacijuagentura.lt/wp-content/uploads/2026/05/ia-logo-main.svg","1886","786",{"@id":59},[21],[66,69,72],{"url":67,"text":45,"id":68},"/",6,{"url":70,"text":71},"/paslaugos/","Paslaugos",{"url":73,"text":49,"id":7},"/paslauga/data-pilot-2-0/",[75],{"url":19,"code":76,"locale":76,"default":4},"lt","2026-05-10","\u003Cp>\u003Cstrong>Programa vyks anglų kalba. \u003C/strong>\u003C/p>\n\u003Cp>Use real-world health data to build evidence that matters!\u003C/p>\n","neaktyvi",null,"\u003Cp>Paslauga šiuo metu neaktyvi.  Sekite naujienas Inovacijų agentūros svetainėje arba \u003Ca href=\"https://inovacijuagentura.lt/naujienlaiskis_paslaugos\">prenumeruokite mūsų naujienlaiškį\u003C/a>.\u003C/p>\n",[83,92,95],{"acf_fc_layout":84,"padetis":85,"spalva":86,"nuoroda":87,"fonas":91},"AcfMygtukas","left","primary",{"title":88,"url":89,"target":90},"Register Here","https://forms.office.com/Pages/ResponsePage.aspx?id=sPOTA-_tY0GZOBUodyn0hfXIPMOBkbNJgbZNj4mPnHFURVQ5T1Y5N1RUMERMSjBCQUZUT1Y0M01KVi4u","_blank","baltas",{"acf_fc_layout":93,"text":94},"AcfText","\u003Cp>Data Pilot 2.0 is a program for teams that want to test and validate health innovation ideas using real-world health data.\u003C/p>\n\u003Cp>You will work on a real challenge proposed by industry, public sector partners and startups to deliver decision-ready evidence, something that can be used in reimbursement, investment, clinical decision-making or technology validation.\u003C/p>\n\u003Cp>This program is for teams that are ready to prove impact with data.\u003C/p>\n\u003Cp>Data Pilot 2.0 is a challenge-based program that helps teams use Lithuania’s national health data assets (the national data lake) to generate real-world evidence (RWE) and solve real clinical and system-level questions.\u003C/p>\n\u003Ch4>\u003C/h4>\n\u003Ch4>Why Is This Program Unique?\u003C/h4>\n\u003Cp>Health data is available in many countries, but the real bottleneck isn’t access – it’s the ability to turn data into credible evidence and decision-ready outputs.\u003C/p>\n\u003Cp>Many teams get stuck between prototype and real-world implementation. At the same time, pharma, biotech, and public institutions face urgent questions that require strong analytics and proof.\u003C/p>\n\u003Cp>Data Pilot 2.0 bridges this gap by creating a practical sandbox where teams can:\u003C/p>\n\u003Cul>\n\u003Cli>work with real challenges provided by partners,\u003C/li>\n\u003Cli>use secondary health data responsibly and meaningfully,\u003C/li>\n\u003Cli>deliver evidence and validate a business model around it.\u003C/li>\n\u003C/ul>\n\u003Cp> \u003C/p>\n\u003Ch4>What You Will Achieve\u003C/h4>\n\u003Cp>The core goal of Data Pilot 2.0 is:\u003C/p>\n\u003Cp>Increase the use of secondary health data for health innovations in the life sciences sector.\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch4>What success looks like:\u003C/h4>\n\u003Cp>Challenge owners receive an evidence-based answer to their question (not assumptions).\u003C/p>\n\u003Cp>Teams deliver a real analytics output and validate a new service / business model with investment potential.\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch4>Program Structure\u003C/h4>\n\u003Cp>Data Pilot 2.0 does not follow a fixed weekly schedule. Instead, the program runs through clear milestones with ad hoc working meetings planned around each team’s challenge and progress.\u003C/p>\n\u003Ch4>What to expect:\u003C/h4>\n\u003Cul>\n\u003Cli>Challenge alignment & onboarding (scope, roles, working plan).\u003C/li>\n\u003Cli>Evidence protocol preparation (study design, methodology, feasibility).\u003C/li>\n\u003Cli>Data access & processing phase (dataset setup, variable mapping, coordination).\u003C/li>\n\u003Cli>Analysis & evidence generation (results, interpretation, decision-ready report).\u003C/li>\n\u003Cli>Optional trainings / expert consultations (organized based on team needs).\u003C/li>\n\u003Cli>Final pitches (challenge outcome + scalable business model / service validation).\u003C/li>\n\u003C/ul>\n\u003Cp>Teams meet regularly with the program team and challenge owners to ensure progress, quality, and delivery.\u003C/p>\n\u003Ch4>\u003C/h4>\n\u003Ch4>Who can apply?\u003C/h4>\n\u003Cp>You can apply as:\u003C/p>\n\u003Cul>\n\u003Cli>an individual\u003C/li>\n\u003Cli>a small team\u003C/li>\n\u003Cli>an early-stage startup\u003C/li>\n\u003C/ul>\n\u003Cp>Team size: 1–5 people\u003Cbr />\nRecommended team skills (as a group):\u003C/p>\n\u003Cul>\n\u003Cli>health or biomedical research understanding\u003C/li>\n\u003Cli>epidemiology / outcomes research mindset (strong advantage)\u003C/li>\n\u003Cli>data analytics and statistics\u003C/li>\n\u003Cli>project management\u003C/li>\n\u003C/ul>\n\u003Cp>If you are not from Lithuania — that’s fine. This program is open to international teams or individuals. Innovation Agency Lithuania will support collaboration with Lithuanian partners.\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch4>Selection Process (Multi-stage)\u003C/h4>\n\u003Cp>Selection to Data Pilot 2.0 is conducted in several steps. Applicants must meet the participant’s profile requirements and complete a short qualification task as a confirmation of readiness to join the program.\u003C/p>\n\u003Cp>\u003Cstrong>The selection includes: \u003C/strong>\u003C/p>\n\u003Cp>Step 1: Eligibility check (team composition and fit with the program scope)\u003C/p>\n\u003Cp>Step: 2 (with selected candidates): Short screening interview (motivation, capacity, and challenge relevance) or/and\u003C/p>\n\u003Cp>Qualification task (mandatory) — a brief assignment to demonstrate your ability to work with the challenge and translate it into an evidence-driven approach\u003C/p>\n\u003Cp>Step 3: Final selection by the advisory board together with challenge owners\u003C/p>\n\u003Cp>The qualification task is not designed to test “perfect answers” — it confirms that your team can work with the topic, structure the problem, and deliver within the program format.\u003C/p>\n\u003Cp> \u003C/p>\n\u003Cp>\u003Cstrong>Timeline \u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Team selection: Mar 2026\u003C/li>\n\u003Cli>Training & preparation: Mar-Apr 2026\u003C/li>\n\u003Cli>Protocol development: Apr-May 2026\u003C/li>\n\u003Cli>Data access phase: Jun–Oct 2026\u003C/li>\n\u003Cli>Data analysis & evidence report: Nov 2026 – Mar 2027\u003C/li>\n\u003Cli>Final presentations & review: Apr 2027\u003C/li>\n\u003C/ul>\n\u003Cp> \u003C/p>\n\u003Ch4>Challenges\u003C/h4>\n\u003Cp>Data Pilot 2.0 is challenge-based. Selected teams will choose and work on one out of 6 real-world challenges provided by industry and public-sector partners.\u003C/p>\n\u003Cp>Applicants will be able to select their preferred challenge during the selection and onboarding phase.\u003C/p>\n\u003Cp>Learn more about the challenges \u003Ca href=\"https://online.flippingbook.com/view/1014169141/\" data-cke-saved-href=\"https://online.flippingbook.com/view/1014169141/\">here.\u003C/a>\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch4>Project Partners\u003C/h4>\n\u003Cp>State Data Agency , Novartis Baltics , State Food and Veterinary Service , Muuza , Vilimed\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch4>Communication & Dissemination Partners\u003C/h4>\n\u003Cp>EIT Health , Future Biomedicine Foundation\u003C/p>\n",{"acf_fc_layout":96,"antraste":97,"sarasas":100},"AcfTinklelisKontaktam",{"text":98,"header":99},"More information about the program","h2",[101],{"image":52,"pavadinimas":52,"tekstas":52,"email":102,"tel_numeris":52,"nuoroda":80},"healthdata@innovationagency.lt",1780325196731]