1 / 33

Washington DC, September 2014

Supporting science investments with small and big data solutions. Washington DC, September 2014. www.uberresearch.com christian@uberresearch.com Tel +49-171-5678917. Ü berResearch helps funding and research institutions better understand and report on their portfolios,

katelyn-vaughan
Download Presentation

Washington DC, September 2014

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Supporting science investments with small and big data solutions Washington DC, September 2014 www.uberresearch.com christian@uberresearch.com Tel +49-171-5678917 ÜberResearch helps funding and research institutions better understand and report on their portfolios, looking internally and comparing globally. a portfolio company of

  2. About ÜberResearch About us Team’s 10+ year experience delivering tools and services for funding and research institutions Over 20 development partners Released version 2.0 of our portfolio analysis and planning support solution last week Active member of standards and data initiatives, examples: CASRAI, ORCID, CrossRef / FundRef, TAG

  3. Science investments – on various levels… • Supra-national level • National level Charity organizations • Corporate R&D

  4. Science is not happening in silos… Institutions are working together… Source: Scimago

  5. Science is not happening in silos… Researchers are collaborating… 8500 physicians publishing on hepatitis C displayed as a co-author network… Source: Andy Lamb, Co-authorship network map of physicians publishing on hepatitis C

  6. Science investments – on various levels… Grants Grants Grants

  7. A lot of mutual interest…

  8. Transmission timeline from idea to impact… grant citations conference publication application idea 1-5 years 2-3 years 3-8 years

  9. Global Shared Award Database • Grant portfolios from 60+ funders • More than 1.3 million grants and growing • More than $600 billion funding • About $166 billion of future research • Open for funders to join and benefit from • analytical capabilities • public use cases – ÜberWizard for ORCID

  10. Horizon 2020… 28 countries … are going to spend €80 billion on research in the next 6 years- together in addition to their national research funding No database covering the 29 portfolios to support the alignment of funding streams

  11. Isolated Island or Continents? • Or does the funding from other funders support the proposed project? • Beyond the proven record based on publications etc.? • Research organizations get funding from various funders – both national and internationally • Is the proposed research an isolated project not supported by other funding?

  12. … and we experienced why it does not exist and why even compelling use cases never led to the creation… Data model mapping Person disambiguation Data cleansing / data curation Institution disambiguation DataEnrichment

  13. … and implemented a functional layer of services to create value from the data… Visualisation support APIs Functional layer Search / Analysis Research classification support NLP / noun phrase extraction Clustering / topic modelling Data model mapping Person disambiguation Data cleansing / data curation Institution disambiguation DataEnrichment

  14. … and built an end user application for smaller funders – ready to go. Application layer Visualisation support APIs Functional layer Search / Analysis Research classification support NLP / noun phrase extraction Clustering / topic modelling Data model mapping Person disambiguation Data cleansing / data curation Institution disambiguation DataEnrichment

  15. … and built an end user application for smaller funders – ready to go. Partner and customer application scenarios Application layer Visualisation support APIs Functional layer Search / Analysis Research classification support NLP / noun phrase extraction Clustering / topic modelling Data model mapping Person disambiguation Data cleansing / data curation Institution disambiguation DataEnrichment

  16. A few examples which I was able to pull up in seconds…

  17. Global funding for a specific area of research… Amytrophic Lateral Scleriosis • How should the ‘exceptional’ $100 million be used? • Tricky situation – since a one time effect can cause also negative effects • Infrastructure needs ongoing funding etc. • Let’s have a look on the first current situation

  18. Different Screens here…

  19. Comparing portfolios… • Petri dishes…

  20. Comparing portfolios… • Petri dishes…

  21. Comparing portfolios… • Petri dishes…

  22. More practical – Reviewer identification

  23. Ashlea Higgs, co-founder…

  24. Thank you! Christian Herzog (christian@uberresearch.com)

More Related