BS 10102-1:2020:2022 Edition
$167.15
Big data – Guidance on data-driven organizations
Published By | Publication Date | Number of Pages |
BSI | 2022 | 34 |
This part of BS 10102 gives guidance on realizing value from data, including big data, such as gaining insights, informing strategies, enhancing reputation, and improving compliance, efficiency and performance.
To achieve this, guidance is given on managing data efficiently, responsibly and sustainably to ensure appropriate access to data sets of the requisite quality.
This part of BS 10102 is intended for organizations forming or developing their data strategy, as well as those seeking to improve their current data exploitation and data arrangements.
It is applicable to public, private, non-profit and not-for-profit organizations of all sizes.
PDF Catalog
PDF Pages | PDF Title |
---|---|
5 | Foreword |
7 | Introduction |
9 | Figure 1 — Relationship between parts of BS 10102 1 Scope 2 Normative references 3 Terms and definitions |
12 | 4 Principles |
14 | 5 Data life cycle 5.1 Introduction 5.2 Acquisition 5.3 Storage and handling 5.4 Data usage/exploitation |
15 | 5.5 Data improvement 5.6 Data matching |
16 | 5.7 Data sharing/publishing and portability 5.8 Data preservation |
17 | 5.9 Archiving 5.10 Deletion/Destruction |
18 | 6 Data governance 6.1 Establishing the data governance system 6.2 Risk 6.3 Project management methodologies |
19 | 6.4 Change management 6.5 Security-by-design and privacy-by-design 7 Internal considerations 7.1 Business requirements and objectives 7.2 Data strategy |
20 | 7.3 Data architecture management 7.4 Data standards 7.5 Data ethics |
21 | 7.6 Organizational capabilities 7.7 Resources 7.8 Competence |
22 | 7.9 Training and awareness 7.10 Behaviours and beliefs (culture) |
23 | 7.11 Data quality management 7.12 Communications |
24 | 7.13 Changing circumstances |
25 | 8 External considerations 8.1 Communications 8.2 Capabilities |
26 | 8.3 Contract approaches 8.4 Terms and conditions |
27 | 8.5 Risks and liabilities 8.6 Security and privacy |
28 | 9 Initiating and managing data-intensive projects |
29 | Annex A (informative) Example employee data agreement Figure A.1 — Example employee data agreement |
30 | Bibliography |