Information Resilience: the nexus of responsible and agile approaches to information use

Responsible Use of Data Assets

1. Obtain social licence for your analytics project

2. Pursue purposeful analytics

3. Educate your workforce and set high standards for data literacy

Data Curation at Scale

4. Explore your data and understand the impact of data curation on data quality

5. Ensure that there is human oversight of all data curation processes

6. Design and develop repeatability and verifiable data curation processes

7. Understand the behaviour of your data workers and share best practice

Algorithmic Transparency

8. Create fairness and transparency in the working of your algorithms and your people

9. Provide assurances and explainability of your black-box models

Trusted Data Partnerships

10. Satisfy privacy and security concerns of your partners and stakeholders

11. Implement efficient data discovery

12. Keep track of data provenance

13. Strengthen your data governance

Agility in Value Creation from Data

14. Structure your analytics teams and domain experts for effective collaborations

15. Transform your organisation into a data-driven entity that pervasively uses analytics across all business processes and services

16. Make effective use of your analytics systems

17. Define and measure your analytics value

It is not our intention to claim that the manifesto covers all possible challenges and functions for responsible and agile use of information. However, we hope that the scaffolding afforded by our notion of Information Resilience and the 17 functions therein will serve as a reference for future research and inspire often disconnected research communities to come together to collectively tackle these challenges.