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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 2014/03/14
  19. Agenda DTL Programmers Meeting 2014/05/09
  20. Agenda DTL Programmers Meeting 2014/07/04
  21. Agenda DTL Programmers Meeting 2014/10/10
  22. Agenda DTL Programmers Meeting 2014/12/12
  23. Agenda DTL Programmers Meeting 2015/02/13
  24. Agenda DTL Programmers Meeting 2015/04/17
  25. Agenda DTL Programmers Meeting 2015/09/11
  26. Agenda DTL Programmers Meeting 2015/11/13
  27. Agenda DTL Programmers Meeting 2016/01/22
  28. Agenda DTL Programmers Meeting 2016/03/18
  29. Agenda DTL Programmers Meeting 2016/06/17
  30. Agenda DTL Programmers Meeting 2016/09/30
  31. Agenda DTL Programmers Meeting 2016/11/25
  32. Agenda DTL Programmers Meeting 2017/01/20
  33. Agenda DTL Programmers Meeting 2017/03/17
  34. Agenda DTL Programmers Meeting 2017/09/29
  35. Agriculture and Livestock Data
  36. Arvados meeting on 2015-09-11
  37. BYOD Meeting: ENSEMBL for ODEX4all
  38. BYOD Meeting: Handling of Metabolomics data in a service laboratory
  39. BYOD Meeting: Human Data for EXCELERATE
  40. BYOD Meeting: Rare Disease data for EXCELERATE
  41. BYOD Meeting: Text mining for ODEX4all
  42. BYOD meetings
  43. Biweekly meeting of the ELIXIR-NL operational team
  44. BraPI
  45. BraP BYOD, ELiXIR-EXCELERATE Green Use CaseI
  46. CTMM
  47. Cancer genomics BYOD
  48. Coordination Team
  49. Current actions of the DISC partners that we could already label DISC
  50. Current projects in DISC

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