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  1. 1- The sharing of data is at the heart of all scholarly scientific research
  2. 10- Expert level data-handlers will still be required to undertake the most complex data-driven research
  3. 11- A “one-size-fits-all” approach to data-stewardship will prove too inflexible
  4. 12- Storing all data may not be necessary if easier to re-measure
  5. 12- Storingalldatamaynotbenecessaryifeasiertore-measure
  6. 13- Completing NWO project proposals should encourage researchers to ask themselves “What am I doing with my data?”
  7. 2- Data-driven research approaches are fundamental to all modern scientific disciplines and is a positive driver for change and discovery
  8. 3- Data-storage, preservation and curation are fundamental to the scientific process
  9. 4- Data-release improves quality
  10. 5- eInfrastructure (including hardware, software and personnel) is a crucial component of any capital investment in science
  11. 6- Publicly funded data-generation is a public good and should be publicly accessible
  12. 7- Interoperability of data formats enables data-driven research
  13. 8- Data-stewardship is a multi-stakeholder challenge
  14. 9- Capacity to undertake data-driven research should increase throughout the scientific community
  15. Agenda DISC Assembly meeting 24/1/2013
  16. Agenda DISC assembly meeting 2012/12
  17. Agenda DTL/SURF Programmers Meeting 2017/06/23
  18. Agenda DTL Programmers Meeting 2014/01/17
  19. Agenda DTL Programmers Meeting 2014/03/14
  20. Agenda DTL Programmers Meeting 2014/05/09
  21. Agenda DTL Programmers Meeting 2014/07/04
  22. Agenda DTL Programmers Meeting 2014/10/10
  23. Agenda DTL Programmers Meeting 2014/12/12
  24. Agenda DTL Programmers Meeting 2015/02/13
  25. Agenda DTL Programmers Meeting 2015/04/17
  26. Agenda DTL Programmers Meeting 2015/06/12
  27. Agenda DTL Programmers Meeting 2015/09/11
  28. Agenda DTL Programmers Meeting 2015/11/13
  29. Agenda DTL Programmers Meeting 2016/01/22
  30. Agenda DTL Programmers Meeting 2016/03/18
  31. Agenda DTL Programmers Meeting 2016/06/17
  32. Agenda DTL Programmers Meeting 2016/09/30
  33. Agenda DTL Programmers Meeting 2016/11/25
  34. Agenda DTL Programmers Meeting 2017/01/20
  35. Agenda DTL Programmers Meeting 2017/03/17
  36. Agenda DTL Programmers Meeting 2017/09/29
  37. Agriculture and Livestock Data
  38. Arvados meeting on 2015-09-11
  39. Assembly Team
  40. BYOD Meeting: ENSEMBL for ODEX4all
  41. BYOD Meeting: Handling of Metabolomics data in a service laboratory
  42. BYOD Meeting: Human Data for EXCELERATE
  43. BYOD Meeting: Rare Disease data for EXCELERATE
  44. BYOD Meeting: Text mining for ODEX4all
  45. BYOD meetings
  46. Biweekly meeting of the ELIXIR-NL operational team
  47. BraPI
  48. BraP BYOD, ELiXIR-EXCELERATE Green Use CaseI
  49. Brief summary of work packages
  50. CTMM

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