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Table 1 Features of the selected online platforms for sharing of health data

From: Ethical sharing of health data in online platforms – which values should be considered?

Platform entity

Taltioni

Healthbank

MIDATA

ePGA

PEER

Scope

National (Finland)

International (Based in Switzerland).

National (Based in Switzerland)

International (based in Greece).

International (based in United States)

Sector

Public-private.

Finnish government; Member organisations (public and private).

Private.

Investments of partners and members/users.

Public –private.

Research grants, loans.

Public.

Public grants (EU and Greece).

Public-private.

Public and private funds,

Crowdsourcing.

Primary goal

Health data sharing.

Health data safe storage and management; well-being apps.

Health data sharing and health research.

Safe storage; research;

user initiated selling of health data.

Health data sharing and health research.

Data safe storage and management; research; data sharing; third-party services (for-profit) on data made accessible by members.

Health research.

Genome-based recommendations about gene-drug-phenotype interactions open access pharmacogenomics data.

Health data sharing and health research.

Biospecimen sharing.

Joining communities within the PEER platform.

Leadership

Users and researchers-led.

Users and researcher-led.

Users and researchers-led.

Researcher-led.

Patient-led.

Data types

Health and lifestyle related data.

Health and lifestyle related data.

All personal data.

Established genomic databases; Genomic profiles and phenotypes uploaded by users.

Health related data.

Large scale data sharing

No.

Yes.

Yes.

Yes.

Yes.

Participatory features

Users can decide which data sets to share and with whom.

Users decide which data sets to share and with whom.

The data available is uploaded by the users.

Users decide which data sets to share.

Users can give specific third- parties access to run analyses on their data on the platform.

Data is uploaded by the users.

Users decide which data sets to share and with whom.

ICT innovative solutions

Focus on personalisation: tailor usage according to individual needs.

Works like a bank: users invest their data and collect the profit from their usage in research.

Enables the combination of health data with other personal data. It is possible to release all the data to researchers.

Orientated for supporting health professionals to increase their knowledge in genomics and to support them in providing appropriate healthcare.

Enrolment on patient networks while allowing contributions for accelerating health research.