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  1. The Data Hazards Project — Data Hazards v1.0 documentation

    Create a community-driven open-source vocabulary of ethical hazards for data-intensive research and development, in the form of Data Hazard labels. Make ethical and future-thinking more …

  2. Hazard (computer architecture) - Wikipedia

    Bubbling the pipeline, also termed a pipeline break or pipeline stall, is a method to preclude data, structural, and branch hazards. As instructions are fetched, control logic determines whether a …

  3. Introduction to Data Hazards Project - The Turing Way

    Data Hazards is a community project to develop a shared vocabulary of data science risks (in the form of Data Hazard labels) and materials to help data practitioners use them.

  4. Data Hazards: An open-source vocabulary of ethical hazards for data

    Mar 1, 2025 · In summary, the Data Hazards project presents a new approach to creating a shared vocabulary of ethical hazards that allows a wide range of people to share their potential …

  5. Data Hazards and its Handling Methods - GeeksforGeeks

    Nov 13, 2025 · There are four types of data dependencies: Read after Write (RAW), Write after Read (WAR), Write after Write (WAW), and Read after Read (RAR). These are explained as …

  6. Data Hazard Definition: instruction waits on result from prior instruction Example add $s0, $t0, $t1 sub $t0, $s0, $t3 { add instruction writes result to register $s0 in stage 5 { sub instruction reads …

  7. Using Data Hazards to support safe and ethical digital footprint ...

    Data Hazards is an open-source project that aims to provide a controlled vocabulary of ethical risks (Data Hazards) that can arise from data science research and its implementation.

  8. Data -- a data value is not available when/where it is needed. Control -- the next instruction to execute is not known. A data dependence occurs whenever one instruction needs a value …

  9. Mastering Data Hazards in Computer Architecture

    Jun 17, 2025 · Learn how to identify and resolve data hazards in computer architecture, ensuring efficient and accurate data processing.

  10. Structural hazards: different instructions in different stages (or the same stage) conflicting for the same resource. Data hazards: an instruction cannot continue because it needs a value that …