Interoperability, Hybrid Data Cloud, Privacy & Google, Data Quality Strategy, Bad & Good Data, Marine Data

This week, we begin with the HIA’s recommendations addressing the major issues that have impeded the transmission of healthcare data to improve healthcare interoperability. Next is a piece discussing the obsolescence of data lake strategy and how hybrid data cloud is taking up the market. Then, we have an article describing the route to remove personal data from Google searches by filing a request. Following that, we have an essay narrating the benefits & needs of data quality. Next, is an analysis of how bad data gets into good pipelines & the strategies to mitigate this proactively. Lastly, we have a report from the UK Hydrographic Office (UKHO) sketching the importance of common standards and a central repository for marine geospatial data.

HIA Outlines Solutions to Boost Healthcare Interoperability, Data Exchange

While advances in technology have helped improve data exchange, the healthcare industry continues to lag on the interoperability front, according to a Health Innovation Alliance (HIA) report that outlines solutions to meet the ONC’s goal of improving healthcare interoperability by 2030. “How we share data is going to continue to evolve as technology advances,” Brett Meeks, senior policy advisor of HIA, said in a press release. “The solutions identified by the HIA address the key areas that have hampered the flow of healthcare information.”

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The Era Of The Data Lake Is Over: Think Hybrid Data Cloud

According to Mordor Intelligence, the market for data lakes, valued at $3.74 billion in 2020, is expected to reach $17.60 billion by 2026. However, companies relying solely on a data lake strategy will eventually face critical limitations on their agility and ability to innovate. While data lakes can be an easy and cost-effective way to aggregate data from multiple silos and make it accessible to analysts, problems with this approach include data quality, lineage, governance, and security challenges. As a result, the data in a data lake essentially becomes a new type of silo.

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You Can Ask Google to Remove Your Personal Data From Search Results. Here’s How

Our private data is scattered all over the internet, so it’s only inevitable that some personal information will turn up in Google’s search results. Google has a process that lets you request that certain search results be removed. In April, the company added new categories of information that could be taken down upon request, including phone numbers and physical addresses. “The availability of personal contact information online can be jarring — and it can be used in harmful ways, including for unwanted direct contact or even physical harm,” Google’s global policy lead for search, Michelle Chang.

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Understanding The Benefits Of A Data Quality Strategy

Data quality is essential to enabling businesses to see returns on data collection and analysis investments. Data quality is the degree to which a data set and the process that produces it is fit for its purpose. Accuracy is one significant component of data quality and reflects the degree to which the data conforms to the correct value of a standard. It is essential to keep in mind that data quality is highly application and use case specific. A data set collected as part of one process may or may not reflect the appropriate data quality and accuracy for another use case. 

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Why Bad Data Gets Into Your Perfectly Good Pipelines

Predicting how a data pipeline will break is like trying to predict the future; the near infinite number of outcomes makes it an exercise in futility. Nonetheless, data engineers bravely peer into this vast vortex of possibility and set tests to monitor their pipelines’ reliability. They might create data quality checks based on common failure points, past experiences, or how the tarot cards fell, but they cannot create a test for every outcome. For example, one organization I worked with had key pipelines that went directly to a few strategic customers. 

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UKHO Highlights Need For Better Management Of Marine Geospatial Data

It has published The future of UK marine geospatial with a call for increased collaboration among organisations, saying there has so far been a lack of co-ordination and strategic direction in the sector. The document makes the point that geospatial data on British waters is essential to activities in offshore energy, conservation, security, tourism and trade. It says there are currently around 30 public sector organisations collecting the data but no consistency how they do so, or store and retrieve it, which leads to information varying widely and being difficult to join up.

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