Difference between revisions of "Feeding empirical data into policy making"

Revision as of 13:18, 1 October 2014

Subtitle: one sentence on what it does, who is it for, and what is its goal

Outputs

Minimum viable product

List of moments in policy process in which we can engage

Aspirational output

List different strategies to engage

Stretch goals

Produce a case study, best practice

Group plan

Plan/output for this group:
1. Non-white inclusive paper on evidence based policy making and responsible data ethics (for publication?)
2. Shorter briefs / dissemination material in different forms
3. Using, where possible, resources from the work churned out by other groups here on harm stories, success/failure documentation, etc.

Connection to previous RDFs

Add links, any useful information

Notes

Action plan: How to get evidence into the data policy arena

Case Study - Responsible Data Policy

In the responsible data community, we are often stymied by a lack of universal language, standards, best practices and competing national and international frameworks. The lack of a unified voice makes policy interventions by or on behalf of subjects of data gathering challenging. Thus, clear guidelines are needed to provide timely and effective policy guidance on data collection, analysis, storage, presentation, use and reuse, while respecting the values of transparency and openness.

Advocacy research shows six points of influence:

           #. When the problem is put on the government agenda
           #. In the development strategic policy options
           #. Option Selection
           #. Implementation
           #. Existing Policy Reform/Recalibration 
           #. Evaluation

Audience

Personas, use cases, context

Next steps

Contributors

Food for thought

• concepts, problems
• questions to ask frequently
• preventions: what do you actually do in concrete terms to prevent these things from happening
• reactions: responsible responses for when things go wrong

Resources (we <3 links!)

Feel free to link any and all background material, additional info, useful resources, etc. The more the merrier!