Difference between revisions of "RDF Manila Human Rights Documentation"
From Responsible Data Wiki
(Created page with " To whom are we responsible? *Individuals that are the focus of documentation *People who give you info *People the info is about *People who it is for *People you communicate...") |
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| Line 1: | Line 1: | ||
| − | To whom are we responsible? | + | <strong>To whom are we responsible?</strong> |
*Individuals that are the focus of documentation | *Individuals that are the focus of documentation | ||
*People who give you info | *People who give you info | ||
| Line 7: | Line 7: | ||
*People you communicate the info to/people who are listening/ppl who use/reuse your data | *People you communicate the info to/people who are listening/ppl who use/reuse your data | ||
*Beneficiaries | *Beneficiaries | ||
| − | To all humans affected by human rights | + | *To all humans affected by human rights |
| − | Your documentation team (and yourself) | + | *Your documentation team (and yourself) |
| − | Any community indirectly affected by the data | + | *Any community indirectly affected by the data |
| − | Those who are represented (directly or indirectly) by the data/info | + | *Those who are represented (directly or indirectly) by the data/info |
| − | Donors and funding bodies | + | *Donors and funding bodies |
| − | Peers | + | *Peers |
<strong>What are we responsible for?</strong> | <strong>What are we responsible for?</strong> | ||
| − | Be honest about if you are the right org to be collecting data | + | *Be honest about if you are the right org to be collecting data |
| − | Using appropriate resources for documentation | + | *Using appropriate resources for documentation |
| − | Mitigating adversarial use of data | + | *Mitigating adversarial use of data |
| − | Thorough/imaginative risk assessments/mitigation stratgies/plans | + | *Thorough/imaginative risk assessments/mitigation stratgies/plans |
| − | Analysis is correct/defensible; no misrepresentation | + | *Analysis is correct/defensible; no misrepresentation |
| − | Cultural/political sensitivities are carefully managed in collection/use | + | *Cultural/political sensitivities are carefully managed in collection/use |
| − | Controlled/planned end to project and/or follow through in a sustainable way | + | *Controlled/planned end to project and/or follow through in a sustainable way |
| − | Clear objectives/goals | + | *Clear objectives/goals |
| − | Positively influence guidelines to good practice | + | *Positively influence guidelines to good practice |
| − | Credibility of over data/info | + | *Credibility of over data/info |
| − | Risk/impact of the work | + | *Risk/impact of the work |
| − | Verifiability of data (integrity) | + | *Verifiability of data (integrity) |
| − | How/if/when to publish/share | + | *How/if/when to publish/share |
| − | + | *Credibility/integrity/transparency of methods/process | |
| − | Actually using it (not just collecting it) to create positive change | + | *Actually using it (not just collecting it) to create positive change |
| − | Attempt to foresee future risks as times change | + | *Attempt to foresee future risks as times change |
| − | Representations of data | + | *Representations of data |
| − | Protecting personal | + | *Protecting personal identifiable data in the broadest sense |
| − | Simple/straightforward | + | *Simple/straightforward |
| − | Data connects to advocacy mechanisms that are available | + | *Data connects to advocacy mechanisms that are available |
| − | Monitoring/ | + | *Monitoring/informing data reuse |
| − | Follow through particularly if the case is about an individual | + | *Follow through particularly if the case is about an individual |
| − | Rights-based approach to data use/collection | + | *Rights-based approach to data use/collection |
| − | Bring it back to the community you collected it/for | + | *Bring it back to the community you collected it/for |
| − | How are we held responsible? | + | <strong>How are we held responsible?</strong> |
| − | Legally/contractually | + | *Legally/contractually |
| − | Trust/relationship w/ communities and process of bringing data back to the community | + | *Trust/relationship w/ communities and process of bringing data back to the community |
| − | Legislative/policy frameworks | + | *Legislative/policy frameworks |
| − | Peers/agreements about good practice | + | *Peers/agreements about good practice |
| − | Donors/funders | + | *Donors/funders |
| − | Internal guidelines/standards | + | *Internal guidelines/standards |
| − | Adversaries (human rights violators) | + | *Adversaries (human rights violators) |
| − | Conscience | + | *Conscience |
| − | Media | + | *Media |
| − | Boards/steering committees | + | *Boards/steering committees |
| − | Institutional memory/culture | + | *Institutional memory/culture |
| − | Institutional review boards (IRBs at universities) | + | *Institutional review boards (IRBs at universities) |
| − | + | *Ethical framework | |
| − | Data audits/peer review/ external & transpareny reviews | + | *Data audits/peer review/ external & transpareny reviews |
Latest revision as of 06:25, 21 March 2015
To whom are we responsible?
- Individuals that are the focus of documentation
- People who give you info
- People the info is about
- People who it is for
- People you communicate the info to/people who are listening/ppl who use/reuse your data
- Beneficiaries
- To all humans affected by human rights
- Your documentation team (and yourself)
- Any community indirectly affected by the data
- Those who are represented (directly or indirectly) by the data/info
- Donors and funding bodies
- Peers
What are we responsible for?
- Be honest about if you are the right org to be collecting data
- Using appropriate resources for documentation
- Mitigating adversarial use of data
- Thorough/imaginative risk assessments/mitigation stratgies/plans
- Analysis is correct/defensible; no misrepresentation
- Cultural/political sensitivities are carefully managed in collection/use
- Controlled/planned end to project and/or follow through in a sustainable way
- Clear objectives/goals
- Positively influence guidelines to good practice
- Credibility of over data/info
- Risk/impact of the work
- Verifiability of data (integrity)
- How/if/when to publish/share
- Credibility/integrity/transparency of methods/process
- Actually using it (not just collecting it) to create positive change
- Attempt to foresee future risks as times change
- Representations of data
- Protecting personal identifiable data in the broadest sense
- Simple/straightforward
- Data connects to advocacy mechanisms that are available
- Monitoring/informing data reuse
- Follow through particularly if the case is about an individual
- Rights-based approach to data use/collection
- Bring it back to the community you collected it/for
How are we held responsible?
- Legally/contractually
- Trust/relationship w/ communities and process of bringing data back to the community
- Legislative/policy frameworks
- Peers/agreements about good practice
- Donors/funders
- Internal guidelines/standards
- Adversaries (human rights violators)
- Conscience
- Media
- Boards/steering committees
- Institutional memory/culture
- Institutional review boards (IRBs at universities)
- Ethical framework
- Data audits/peer review/ external & transpareny reviews
