In a couple of previous posts, I outlined why I think open data poses serious difficulties for the humanitarian sector. A lot of those difficulties stem from endemic weaknesses in the humanitarian sector, because at root I believe that failure has been built into the humanitarian system, and I really need to get around to explaining what I mean by that. That can wait for next time, because right here I want to lay out what I think needs to happen if humanitarian organisations are ever going to survive the changes that the information age has brought, as it relates to using data effectively.
Two things to bear in mind. First, that this is taking the perspective of organisations as they are now; but I also think that organisations will evolve into new forms in the course of this century, a greater variety of forms than the traditional “corporate” model allows (and yes, most NGOs are set up on a corporate model). Second, that all of these steps are not merely realistic, they’re actually relatively easy, and especially relatively easy compared to the path that most organisations are currently taking. The reason that they’re not being widely pursued is that they emerge from a view of the humanitarian system as just that – a system, with multiple interacting layers – rather than as a hierarchy reaching from global headquarters down into “the field”.
Training
- Create freely available training modules and support material via e.g. Moodle, so our staff can start doing it for themselves. Then open up that training material so that anybody can benefit from it – local government, local NGOs, affected communities, national universities, anybody.
- Create an accreditation system for info management trainers, initially based on prior experience. Don’t accredit people in “information management”, they can do a university course if they want a diploma; but accredit trainers so that you can reach into the professional training community.
- Run facilitated online and onsite courses, provided by accredited trainers and leading to accreditation for participants. Okay, I lied – it’s okay to accredit people in information management. The reason that I hesitate about this is because accreditation only really works if there’s an infrastructure around it that recognises and value accreditation.
- Integrate accredited info management course into existing accredited programmes (e.g. RedR, Clusters, etc). This step deals with that infrastructure issue, but only to a certain extent. There’s a lack of recognition of “management” a professional skill in the sector, which is always going to work against us.
Data sharing
- Establish data standards, mainly to stop the UN agencies from dicking around with their data and refusing to agree on e.g. basic demographic categories. Data standards are not complicated but they are difficult, especially when people don’t get the basic point. It’s a minimum set, not an exhaustive set; it’s for practical implementation, not policy roll-out.
- Adopt common data sets and agreements on e.g. which population figures we’re going to use. OCHA has done the groundwork on Common Operational Datasets (pdf),
but I don’t know what the latest state of play is. What I do know is that by this point there should be an online interactive map with those datasets easily searchable behind it AND THERE ISN’T.; the next step is working out how to leverage those datasets more effectively in the field to create better decision-making tools. (Thanks to Ben in the comments for correcting my ignorance, and my apologies for shouting at OCHA when I really should have checked my own bookmarks folder – and well done to all involved.)
- Begin capacity building from the field-level up in managing data and using information more effectively. I can’t stress this enough – all capacity building should start as far out on the “edge” of the organisation and work inwards, not the other way around.
- Lobby from the HQ-level down on integrating actual information into decision-making. This is where HQs have the requirement – not for info management skills, but for decision-making skills based on good info. Don’t bother sending managers on info management courses, they’re never going to be crunching spreadsheets; they need to be able to read spreadsheets and connect that with their actual work.
Advocacy
- Operational level – lobby to solve location-specific data issues using time-limited task forces, as a way to raise awareness that IM is essential for decision-making.
- Country office level – lobby to create better environments for information management within organisations and meetings, focused on staff not technology.
- Head office level – lobby to integrate data into decision-making, and for HQs to make reasonable and informed calls about what information they’re requesting from the field.
- Global level – promote of data standards, CODs and capacity building strategies, and stop having high-level meetings that pretend to be designing tools for the field.
Most people think setting principles out and getting agreements down is important. I don’t. I would drop having principles in favour of signing up agencies to a ‘pathway’ of simple practical steps which incorporate the principles at an implicit level. Introducing principles makes it possible for everybody to nod their heads at the next meeting and then do absolutely nothing to follow up. And finally, that Shorty Long track at the top has literally no relevance to the blog post, except to the extent that I believe that I AM DE JUDGE.

