3. Long term planning and maintenance
• Project Funding and continuity of data
availability and management
• Funders/ Institutional requirements : data
from public resources must be in public
domain.
• Availability of storage facilities
• Availability of analysis facilities
DMP
4. Data sharing: going beyond required
• Granting authorities
• Journal requirements
• Improved health care
Facilitation by:
• Institutional sharing
• Availability of repositories/Archives : GIT hub, EBI
Repositories, NCBI repositories, Institutional and
National Data archives
• Analysis, Annotaion and Advertisement of
resource
• Data publication
7. Importance of meta-data
• Data valuation by addition of metadata
• Incorrect/inadequate meta data affects Analysis,
Rediscovery
• No meta-data makes set impossible to find, and
of no value. Tagging helps.
• Student exercise –Male Breast Cancer– before
they start a submission
• If you use resources enrich them for use by
yourself or others through submissions and
annotation
8. Ontologies and standards
Interoperatibility searching and reasoning
• HPO – Phenotype Ontology
• EFO – experimental eta-data, more terms may
be needed
• OBIB ontology ? BioBanking
• SNOMED-CT
• DM + D
• ICD
9. Resource catalogue
BioSamples – deposit and reference
study details for ‘Omics expts
OMICs expts –access using OMICS
Discovery Index
(http://www.omicsdi.org)
10. Annotation transfer
Limited biochemical resources, limited number of
manual curators to transfer data into databases
(UniProtKB/Swiss-Prot, GO)
Annotation transfer – Gene Ontology
InterPro2GO EC2GO
UniProt-keywords2GO Ensembl Compara
UniProt-subcellular locations2GO HAMAP2GO
UniPathway2GO
Annotation transfer – TrEMBL annotation
UniProt UniRules
All based on InterPro family/domain matches
11. ICO : code of practice
• Processed lawfully, fairly and transparent manner
• Collected for specified purpose
• Adequate and relevant and limited to necessary
• Accuracy is maintained
• Data subject will not be identifiable for longer
than necessary
• Processed in a secured manner and protected
against unexpected loss or destruction
• Rights of the individual will be protected
12. ICO code of practice
This is handled in four ways:
Ethical approval for study
Explicit consent from individual
Follow security guidelines from ICO
Develop strong governance around this data
13. Proprietary data
• Any data generation funded by a commercial
entity may have data restrictions associated
with it.
• Any data generation involving proprietary
organisms/environs may have data restrictions
on them.
• Data withdrawal – obsolete vs destroy
14. Software
• Software graveyard and compute
• Costing for IT and sustainability or software
resources
• Software publication
• Recognition and peer review
• Reproducibility in omics research
16. Summary
• Identify potential issues early on in the project
life-cycle – spending time identifying issues and
planning how to address them
• Prepare to data share as early as possible – what
information would you like to see if your were
the data user.
• Think beyond the life-time of the grant, what are
your long term plans for the sustainability of the
data
• If issues with access do feed back. If not primary
submission this should be sorted. Add bug
reports as well.
Editor's Notes
https://ico.org.uk/media/1068/data_sharing_code_of_practice.pdf
1. Information Commissioner’s foreword 4
2. About this code 6
Who should use this code of practice? 7
How the code can help 7
The code’s status 7
3. What do we mean by ‘data sharing’? 9
‘Systematic’ data sharing 9
Ad hoc or ‘one off’ data sharing 10
Sharing with a data processor 10
Sharing within organisations 10
4. Data sharing and the law 11
The public sector 11
Private and third sector organisations 12
Human rights 13
5. Deciding to share personal data 14
Factors to consider 14
Conditions for processing 15
6. Fairness and transparency 17
Privacy notices 17
Telling individuals about data sharing 18
Who should tell the individual? 19
Sharing without the individual’s
knowledge 19
Ad hoc or ‘one off’ data sharing 20
Mergers and takeovers 20
Buying and selling databases 22
Emergency response planning 22
7. Security 23
8. Governance 26
Responsibility 26
Data sharing agreements 26
Privacy impact assessments (PIAs) 27
Data standards 27
Reviewing your data sharing
arrangements 30
9. Individuals’ rights 32
Access to information 32
Individuals’ objections 33
Queries and complaints 34
10. Things to avoid 35
11. The ICO’s powers and penalties 36
12. Notification 38
13. Freedom of Information 39
14. Data sharing agreements 41
15. Data sharing checklists 46
Data sharing checklist
– systematic data sharing 46
Data sharing checklist
– one off requests 47
Annex 1 – The Data Protection principles 48
Annex 2 – Glossary 49
Annex 3 – Case studies 52
