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Markku Huttunen Nordic Web Seminar , Oslo

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Presentation on theme: "Markku Huttunen Nordic Web Seminar , Oslo"— Presentation transcript:

1 Markku Huttunen Nordic Web Seminar 24-25.4.2017, Oslo
Country report Markku Huttunen Nordic Web Seminar , Oslo

2 Some successes 2016 StatGuides / LibGuides (>) New CRM
Springshare SaaS platform for libraries (in office + web) New CRM MS Dynamics + Click Dimensions + MS Social Engagement Manage and segment paying customers, survey participants and users of free services Finland among the best in the world (>) Hundred-year-old Finland in the light of statistics, articles + social media (>) New search engine (again) Version 3 on Solr/Lucene platform Metadata Consepts published from the metadatabase (>) Research data catalogue (>) Social media Facebook (4 973; 5 220), Twitter (5 836), LinkedIn (2 020), Instagram (249), SlideShare (36), YouTube (8), Markku Huttunen

3 Not so successful 2016 The new CMS of statistics section is not yet finalized Final steps are missing Lesson learned: newer stop a project before it´s 100% finalized New PX-Web to chargeable databases User management module (Gatekeeper) for PX-Web developed (finally) Metadata Old classifications section contains about 40,000 HTML-pages (>) Open data APIs to classifications? New project timetable due to be started in 2017 Updating process of the regional data service Markku Huttunen

4 Upcoming challenges The whole web service needs to be redesigned
Redesigning the structure and CMS of statistical releases and e-publications Redesigning the whole structure and contents of The future of the indicator service Findicator 100 key social indicators with graphs, texts and database sources of the data The future of the service: a face lift Office magazine Tieto&Trendit The site of the magazine will developed to be web only Articles, office blog posts… (Linked) Open Data and Eurostat Digicom project API-standards, open data, tools -> everything linked open data (?) Eurostat ESSnet grants? ESTP course on LOD Creative Commons licence for open data sets Markku Huttunen


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