Useful Resources for Future Ocean Data Markets & Brokers
Market research by Dr. Mark Siebert & Scott Milat
Below is a collection of the most useful resources we found along with some of our key research findings.
This work was made possible thanks to the Ocean DAO and created as part of our research proposal looking into which buyers are most likely to purchase data from Ocean markets rather than going anywhere else.
Useful Resources for Future Ocean Data Markets & Brokers
- Ocean Data Buyer Framework — Learn how to quickly filter your market segments to find the most likely buyers for your data.
- 17 data buyer expectations (page 30)
- Data use case template — This will help you view data acquisition from the data buyer’s perspective, enabling you to better identify and meet their wants and needs.
- Healthcare data map — showing you all the places healthcare data goes and the players involved.
- List of 500 potential data buyers for Ocean Data Markets — You can request this by going to the Ocean DAO Discord channel.
Sources
EU Data Market Monitoring Tool — Final study 2020: https://datalandscape.eu/sites/default/files/report/D2.9_EDM_Final_study_report_16.06.2020_IDC_pdf.pdf
EU Data Strategy, 2020: https://ec.europa.eu/info/strategy/priorities-2019-2024/europe-fit-digital-age/european-data-strategy_en
Datamarket research:
- Type of Data marketplaces: https://research.aimultiple.com/data-marketplace/
- Market mechanisms/ market types/ market functions/ Data types: https://www.gsma.com/publicpolicy/wp-content/uploads/2018/06/GSMA_Data_Value_Chain_June_2018.pdf
- Trusted Secure Data Sharing Space: https://www.trusts-data.eu//
- EU Datamarket project (chapter 7.1.3): https://www.trusts-data.eu/wp-content/uploads/2020/10/D2.2-Industry-specific-requirements-analysis-definition-of-the-vertical-E2E-data-marketplace-functionality-and-use-cases-definition-I.pdf
- Dutch AI Coalition (NLAIC) — comparison of data sharing architectures (incl. OCEAN — page 12): https://nlaic.com/wp-content/uploads/2021/02/AI_Ecosystem_and_Market_Analysis_Data_Sharing_4-feb-2021.pdf.pdf
Data requirements
- By industry: https://rd.springer.com/chapter/10.1007/978-3-319-21569-3_4
- Data regulation, data quality https://digital-strategy.ec.europa.eu/en/library/proposal-regulation-european-approach-artificial-intelligence
- Data acquisition as a key part in the Data value chain: Data acquisition value chain: https://www.explorium.ai/resources/whitepapers-ebooks/the-complete-guide-for-data-acquisition
- Evidence-based policy making and data value chain: https://opendatawatch.com/publications/the-data-value-chain-moving-from-production-to-impact/
- Big Data Value Chain: http://www.dataeconomy.eu/data-value-chain/#page-content
- Data acquisition as strategic AI enabler: https://websensa.com/en/2020/05/13/strategic-data-acquisition-becoming-an-ai-company-part-1/
- Strategic data acquisition: https://medium.com/appanion/strategic-data-acquisition-6aa351d91ffb
- Data acquisition for analytics: https://www.smartinsights.com/digital-marketing-strategy/customer-acquisition-strategy/data-driven-acquisition-marketing-tips-for-2020/
- Good practices of data acquisition https://www.firstsanfranciscopartners.com/blog/data-acquisiton-best-practices/
- How to acquire data and data acquisition strategies: https://www.kdnuggets.com/2016/06/10-data-acquisition-strategies-startups.html
Further Research Findings
This is one of 5 articles that was published from our research. Links to the remaining articles can be found below.
- Go To Market Analysis for Data Markets & Data Brokers on Ocean Protocol
- How to identify buyers for your datasets using Ocean’s Data Markets
- 4 New Ocean DAO Projects that Build Upon our Research Findings
- 7 lessons Web3 data markets can learn from the Web2 data economy
This work was made possible thanks to the Ocean DAO and created as part of our research proposal looking into which buyers are most likely to purchase data from Ocean markets rather than going anywhere else?
