Data Transparency Breaking Down Data Silos for Improved Insight - - PowerPoint PPT Presentation
Data Transparency Breaking Down Data Silos for Improved Insight Dr Peter Tormay DH08 Transparency An Organisational View Transparency is all about the release of information by institutions or companies that is relevant for the
Dr Peter Tormay DH08
Transparency is all about the release of information by institutions or companies that is relevant for the evaluation of these institutions/companies
communication accountability
Hosseini et al, Requirements Eng (2018) 23: 251-275
Transparency is all about the free flow of information between stakeholders for the purpose of informed decision making
Discovery Candidate selection Preclinical testing Phase I Phase II Phase III Marketing /Sales
Explicit knowledge Tacit knowledge
Discovery Candidate selection Preclinical testing Phase I Phase II Phase III Marketing /Sales
Wang et al, J. Manage. Inf. Syst. 12, no. 4
Data Quality Intrinsic
Accuracy Believability Objectivity Reputation
Contextual
Value –added Relevance Timeliness Completeness Appropriate amount
Representational
Interpretability Ease of understanding Representational consistency Concise representation Data Model
Accessible
Accessibility Access security
be made
Real World Real World inferred from the IS Information System Transparency challenges Representation Interpretation
Formal representation of a knowledge domain, describing its entities, events and processes and the relationships connecting these entities, events and processes
information among people or software agents
Benefits
Patient Study
Id: Age: AgeU: Sex: Id: Design: Blinding: Control:
has is part
Patient Results Measurement Sampling
Patient Results Measurement Notification Sampling Physician
Patient Results Measurement Notification Sampling Indication Treatment Medicine Intake Actual Product Batch Physician
Patient Results Measurement Notification Sampling Person Indication Treatment Medicine Intake Actual Product Batch Physician Person CV
Building a Conceptual “Mind Map” of Related Holons
Patient Results Measurement Notification Sampling Person Indication Treatment Medicine Intake Actual Product Batch Physician Person CV
Building a Conceptual “Mind Map” of Related Holons
Patient 1 Patient 2 Patient 3
S 1 P 1 P 2 P 3 V 1 BP n BP h V 1 BP h V 2 BP h BP n V 1 T A T B T A
What adverse events have been reported for patients with elevated liver values
S 1 P 1 V 1 LV 1 V 2 LV 10 P 2 V 1 V 2 LV 1 AE Headache AE Nausea LV 2 AE Insomnia AE Depression
S 1 P 1 V 1 V 2
LV 10 AE Headache AE Nausea
Select data: Type of Node: “Patient” With (Type of Node: ”Liver Value”, Property: ”Value > 5”) Fetch: Type of Node:”Adverse Event”, property:”Name”
What adverse events have been reported for patients with elevated liver values
Peter Tormay peter.tormay@capish.com Anna Berg anna.berg@capish.com