# Пов'язані статті щодо Data Accuracy

Why Are We So Persistent in That 'Laborious and Unrewarding' Data Cleaning?

In the article "Why Are We So Committed to 'Labor-Intensive and Unrewarding' Data Cleaning?", the RootData team reflects on their second bounty event, which focused on enhancing data transparency in Web3. The event involving over 140 participants resulted in 1,220 submissions, with 564 valid data points approved—a 46.2% acceptance rate. Key improvements included identifying key team members from projects like MOMO.FUN and Subhub (often not publicly listed), correcting inaccuracies in token unlock details and TGE timelines, and updating outdated information such as misattributed founders and deprecated social accounts. The author emphasizes that ensuring data transparency—though challenging—is critical for protecting investors' "right to know." In Web3, where misinformation is common (e.g., inconsistent token unlock data across platforms), RootData aims to serve as a reliable source of validated information. The team notes that core team changes around TGE events often signal project risks, yet such details are frequently overlooked. To uphold transparency, RootData publishes monthly reports on false fundraising claims, conducts in-depth analyses (e.g., exchange listing reports), and cross-verifies data rigorously—even declining unverified submissions. They also engage with industry leaders like Binance to align on data accuracy goals. The long-term vision is to transform isolated data points into structured, actionable transparency reports that support informed investment decisions. The article concludes by advocating for collective effort in advancing Web3 data integrity.

marsbit01/24 09:09