{"id":415514,"date":"2024-10-20T06:05:39","date_gmt":"2024-10-20T06:05:39","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/bs-10102-12020-2\/"},"modified":"2024-10-26T11:19:46","modified_gmt":"2024-10-26T11:19:46","slug":"bs-10102-12020-2","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/bsi\/bs-10102-12020-2\/","title":{"rendered":"BS 10102-1:2020"},"content":{"rendered":"
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.<\/p>\n
To achieve this, guidance is given on managing data efficiently, responsibly and sustainably to ensure appropriate access to data sets of the requisite quality.<\/p>\n
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.<\/p>\n
It is applicable to public, private, non-profit and not-for-profit organizations of all sizes.<\/p>\n
PDF Pages<\/th>\n | PDF Title<\/th>\n<\/tr>\n | ||||||
---|---|---|---|---|---|---|---|
5<\/td>\n | Foreword <\/td>\n<\/tr>\n | ||||||
7<\/td>\n | Introduction <\/td>\n<\/tr>\n | ||||||
9<\/td>\n | Figure 1 \u2014 Relationship between parts of BS 10102 1 Scope 2 Normative references 3 Terms and definitions <\/td>\n<\/tr>\n | ||||||
12<\/td>\n | 4 Principles <\/td>\n<\/tr>\n | ||||||
14<\/td>\n | 5 Data life cycle 5.1 Introduction 5.2 Acquisition 5.3 Storage and handling 5.4 Data usage\/exploitation <\/td>\n<\/tr>\n | ||||||
15<\/td>\n | 5.5 Data improvement 5.6 Data matching <\/td>\n<\/tr>\n | ||||||
16<\/td>\n | 5.7 Data sharing\/publishing and portability 5.8 Data preservation <\/td>\n<\/tr>\n | ||||||
17<\/td>\n | 5.9 Archiving 5.10 Deletion\/Destruction <\/td>\n<\/tr>\n | ||||||
18<\/td>\n | 6 Data governance 6.1 Establishing the data governance system 6.2 Risk 6.3 Project management methodologies <\/td>\n<\/tr>\n | ||||||
19<\/td>\n | 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 <\/td>\n<\/tr>\n | ||||||
20<\/td>\n | 7.3 Data architecture management 7.4 Data standards 7.5 Data ethics <\/td>\n<\/tr>\n | ||||||
21<\/td>\n | 7.6 Organizational capabilities 7.7 Resources 7.8 Competence <\/td>\n<\/tr>\n | ||||||
22<\/td>\n | 7.9 Training and awareness 7.10 Behaviours and beliefs (culture) <\/td>\n<\/tr>\n | ||||||
23<\/td>\n | 7.11 Data quality management 7.12 Communications <\/td>\n<\/tr>\n | ||||||
24<\/td>\n | 7.13 Changing circumstances <\/td>\n<\/tr>\n | ||||||
25<\/td>\n | 8 External considerations 8.1 Communications 8.2 Capabilities <\/td>\n<\/tr>\n | ||||||
26<\/td>\n | 8.3 Contract approaches 8.4 Terms and conditions <\/td>\n<\/tr>\n | ||||||
27<\/td>\n | 8.5 Risks and liabilities 8.6 Security and privacy <\/td>\n<\/tr>\n | ||||||
28<\/td>\n | 9 Initiating and managing data-intensive projects <\/td>\n<\/tr>\n | ||||||
29<\/td>\n | Annex A (informative)\u2002 Example employee data agreement Figure A.1 \u2014 Example employee data agreement <\/td>\n<\/tr>\n | ||||||
30<\/td>\n | Bibliography <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":" Big data – Guidance on data-driven organizations<\/b><\/p>\n |