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What have we learned from talking with the TDM community?

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by Freyja van den Boom, Researcher, Open Knowledge International

Published in: Data & Analytics
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What have we learned from talking with the TDM community?

  1. 1. OpenDataMonitor Horizon 2020 Coordination and Support Action GARRI-3-2014 Scientific Information in the Digital Age: Text and Data Mining (TDM) Project number: 665940 Stakeholder Consultations FutureTDM Reducing Barriers and Increasing Uptake of Text and Data Mining for Research Environments using a Collaborative Knowledge and Open Information Approach FTDM workshop/Brussels 27 september 2016
  2. 2. What have we learned from talking with the TDM community? 2
  3. 3. FutureTDM: TDM community 3
  4. 4. Involve: stakeholder consultations The FutureTDM Knowledge Cafe's ‘an informal opportunity for stakeholders to find out about TDM, the FutureTDM project and its goals and to provide the project with feedback.’ The expert and practitioners interviews ’ to find, challenge and/or provide evidence for what are considered to be barriers for text and data mining (TDM) in Europe. ‘ 4
  5. 5. Overview: stakeholder consultations 5
  6. 6. Overview: Interviews and Case Studies 6
  7. 7. Challenges: Technical and infrastructure Availability of TDM tools and services TDM is getting better but the accuracy of tools must be high enough so that scientists can rely on it.’ Access and data quality ‘It is a problem when data is not in a TDM friendly format.’ Lack of a standard API across all platforms makes TDM very time consuming for lawful users to gain access in a quick and reliable way. Infrastructure ‘ Ideally what you want is a web based modular system ‘ 7
  8. 8. Challenges: Economy and Incentives Market (access) Availability of TDM tools and services ‘Compared to the academic sector, the corporate sector is willing to pay for solutions ‘ Funding ‘In chemistry and biology for example, research groups often do combined applied and academic research. How much money from your project do you want to dedicate to infrastructure?’ (non) Commercial Need for examples :‘ Sell the concept better’
  9. 9. Challenges: Education and skill Precondition ‘ Data has to be available and in a useful format because otherwise these skills cannot be developed in the first place.” Awareness ‘If we want to move towards a highly technological and sophisticated society a lot more investment in education and research is needed in general.’ Knowledge and Skill gap ‘We are still getting skilled graduates but their skillset isn’t a very good match with TDM’ 9
  10. 10. Challenges: Legal and Content Legal clarity and awareness Access/use We [researcher] would always prefer to use freely available over data without license strings attached even if that data was of better quality’ Data Protection/Personal data Copyright / Harmonization Harmonization is a mixed blessing for companies because may introduce additional barriers for using data from web sources. On proposed solutions ‘Copyright exception presumes there is an issue around access to content. Researchers who have lawful access to content are able to text mine with publishers. ‘ 10
  11. 11. To conclude: considerations ● Uncertainty ● Not a ‘one fits all’ solution. ● Given its complexity: the benefits of TDM would best be achieved through collaboration Next steps: Focus of how to overcome the identified barriers looking at best practices and recommendations in practice 11
  12. 12. Contact: Freyja.vandenboom@okfn.org 12

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