During a conversation with a professional in the medical data field, he expressed a thought-provoking viewpoint: "The case data we hold is worth about half a company, yet it is difficult to share easily. Concerns about information leakage, being used without compensation, or triggering Compliance issues make this precious data like a thorny rose, neither to be touched carelessly nor easily discarded." This statement accurately summarizes the dilemma currently faced by the data industry: the key issue is not the lack of high-quality data, but the absence of effective governance solutions that can balance "value, privacy, and Compliance."

The emergence of OpenLedger has caught my attention, not only because it can realize data monetization on the blockchain, but more importantly, it attempts to transform the ambiguous gray areas in data governance into executable specific rules.

To deeply understand the challenges of data governance, we need to recognize that its core lies in addressing three practical issues: data management rights, distribution of usage benefits, and accountability. However, in reality, these three aspects are often unclear.

I once came into contact with a financial risk control team that had a highly precise set of user credit data. When an artificial intelligence company wanted to borrow this data to train a model, both parties engaged in negotiations that lasted for three months, yet they were unable to reach an agreement. The AI company was concerned that after paying the fees, the data might not be effectively usable, while the data provider worried that their data would be utilized without receiving corresponding returns. In this situation, due to the inability to accurately determine whether the "model used specific data," let alone distribute profits based on usage, it ultimately ended up unresolved. This is a typical case of "unclear responsibilities and rights."

Cross-border data sharing is fraught with challenges. I once assisted a pharmaceutical company in connecting with an overseas research institution, trying to transfer domestic clinical data for use abroad. Just preparing the compliance documents took six months, and ultimately it was shelved due to the "data exit filing" issue. This highlights that while there is a willingness for data sharing, there are many obstacles in actual operation.

In the face of these challenges, blockchain technology presents new possibilities for data governance. It not only ensures the security and traceability of data but also enables automated rights distribution and responsibility identification through smart contracts. This innovative approach is expected to break the current bottleneck of data sharing, paving the way for the release of data value.

With the continuous development of technology and the gradual improvement of regulations, we have reason to believe that future data governance will be more transparent, fair, and efficient. This will not only help stimulate data innovation but will also inject new momentum into the development of various industries. In this data-driven era, finding a balance is crucial, and blockchain technology undoubtedly points us to a hopeful direction.