Se ha denunciado esta presentación.
Utilizamos tu perfil de LinkedIn y tus datos de actividad para personalizar los anuncios y mostrarte publicidad más relevante. Puedes cambiar tus preferencias de publicidad en cualquier momento.

Tracking data

54 visualizaciones

Publicado el

Presentation 'tracking and recognising data as research outputs in their own right by Victoria Moody, Jisc

Publicado en: Datos y análisis
  • Inicia sesión para ver los comentarios

  • Sé el primero en recomendar esto

Tracking data

  1. 1. Victoria Moody, UK Data Service Co-I, deputy director, director of impact Part of Jisc research strategy leadership team 18 October 2019 Tracking and recognising data as research outputs in their own right
  2. 2. What we’re covering 1. If we have sustainable, FAIR data we can re-use them (and reproduce findings) 2. If we don’t have sustainable, FAIR data we can’t re-use them (and reproduce findings) 3. Opportunities • Expand/ industrialise the ecosystem (with tech and policy?) • Use the tools we have and apply them to ‘unsustainable’ data (where we can) • Get the right mix – for sustainable data and mechanisms to reproduce effectively for ‘unsustainable’ data (or make it differently sustainable) • Skill share and skill well
  3. 3. 1. If we have sustainable, FAIR data we can re-use them (and reproduce findings)
  4. 4. 4
  5. 5. http://dx.doi.org/10.5257/iea/web/2018-10
  6. 6. Growing the corpora of standards to meet the mandate and requirements for reproducibility:
  7. 7. 2. If we don’t have sustainable, FAIR data we can’t re-use them (and reproduce findings)
  8. 8. Building FAIR-ness
  9. 9. “….notions of value are often woven into the uses and understandings of data as well as the visions and promises that are attached to them. This makes data a routine and structurally significant part of the ordering of the social world…” The Data Gaze, David Beer https://doi.org/10.1080/1369118X.2019.1609544
  10. 10. Building FAIR-ness 2
  11. 11. 3. Opportunities? Use the tools we have and apply them to what we don’t (where we can) Industrialise and expand the ecosystem (with tech and policy?) Get the right mix – for sustainable FAIR data and mechanisms to reproduce effectively for unsustainable data (or make it sustainable) Skill well and skill share
  12. 12. Considerations • Drive to OA extending to data • Meta-standards = ethical outcomes • FAIR codebooks/ syntax libraries • Support a transition from idiosyncratic approaches • Intelligent metadata models • Skill sharing to manage new approaches/ vastness • Skill well…
  13. 13. Victoria.moody@jisc.ac.uk Thank you

×