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ANDS Applications Program: Building Tools to Facilitate Data Reuse


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Presentation accompanying talk on the ANDS Applications program at IDCC 2016. Discusses the outputs of the program, but also focusses on issues of sustainability of such eresearch tools

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ANDS Applications Program: Building Tools to Facilitate Data Reuse

  1. 1. ANDS Applications Program: Building Tools to Facilitate Data Reuse Stefanie Kethers Mingfang Wu Andrew Treloar CC-BY @atreloar
  2. 2. Outline  ANDS overview  Applications program  Lessons learned  Thoughts on sustainability CC-BY @atreloar 2
  3. 3. ANDS at a glance  In operation since 2009  Approximately AUD90M total investment  45 staff (mostly Melbourne, Canberra)  Working to make Australia’s research data more valuable  Funding through to mid 2016 (probably 2017) CC-BY @atreloar 3
  4. 4. So that researchers can easily publish, discover, access and use research data through the Australian Research Data Commons How Do We Make Data More Valuable? Increasing Value
  5. 5. Key differentiators for ANDS  No actual data storage  Nationally co-ordinated approach  Institutionally-focussed engagement  “helping them meet their research data ambitions”  Engaging with large nationally-funded discipline investments  Bulk of funds spent outside ANDS   All disciplines covered  Focus on adding value to data and re-use CC-BY @atreloar 5
  6. 6. Applications Program  “Applications that demonstrate the value of data integration and analysis to answer complex research questions”  Enable and promote the fourth transformation  Produce compelling demonstrations that could be promoted  Typically smallish projects (2 EFT, 1 year) CC-BY @atreloar 6
  7. 7. Discipline distribution  7 projects in bio/characterisation  8 projects in climate change adaptation  10 others (urban planning, marine research, public health, humanity)  For a completed list of the projects and their profiles, please visit the ANDS project registry: app CC-BY @atreloar 7
  8. 8.
  9. 9. CASE STUDY Soils to Satellites CC-BY @atreloar 9
  10. 10. CC-BY @atreloar 10
  11. 11. Soils to Satellites CC-BY @atreloar 11
  12. 12. CC-BY @atreloar 12
  13. 13. Lessons learned  Support from research champions was critical  Tight timelines were the enemy of modular common design  Outreach forms (blogs, videos) were more popular than expected  Data and system sustainability an ongoing issue CC-BY @atreloar 13
  14. 14. Sustainability challenges  More desire for bespoke solutions than can be met  Every researcher’s needs are “special”  Trade off between individual researcher's need and a research community's need  Finite amount of the right dev resource available  and keeping them is difficult  Waterfall development will deliver the right solution two years too late  Communities still constrained by old ways of working  and culture eats technology for breakfast  It takes a planet to maintain a codebase CC-BY @atreloar 14
  15. 15. Sustainability responses  ‘Good enough’ solutions are actually just fine most of the time  Adopt/Adapt/Augment is always better than Build  Existing common toolkits let you focus on the missing 10% of functionality  So don’t start from scratch  But also don’t leech  Involve research champions who can articulate their community's requirements, and promote project outcomes CC-BY @atreloar 15
  16. 16. Questions?     CC-BY @atreloar 16