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Work through the listed questions with your team to organize your documentation, enlist the help of stakeholders, anticipate bottlenecks and distribute work.  \nStart with a review of the Data Card template as a group. Use this to identify relevant questions and organize resources (analysis, documents, people) needed to answer them. Once the workload has been distributed, determine your timelines and plan check-ins.  \nPage 1  \nof 6  \nEarly Review Checklist  \nReviewing questions in the Data Card Template:  \n Which fields are inapplicable or irrelevant to your dataset or model?  \nCan this change in the future?  \n What fields are applicable, but appear infeasible to document? Why?  \n Which fields need a human-written answer? Which can be automated?  \nOrganizing timelines and distributing the work:  \n When do you hope to have it completed by?  \n Which fields are likely to take longer to answer? How long?  \n Are there any additional analyses that need to be factored into the timeline?  \n What documents need to be gathered to complete the Data Card?  \n Who should be responsible for documenting the answer to a given field?  \nHow long is this likely to take?  \n Who else (subject matter experts, analysts, others) should be brought into the project?  \nWhat for?  \nWrapping up your Data Card:  \n Who needs to review, verify, or sign off on the transparency artifact?  \n Which fields are likely to change or require maintenance over time?  \nCan this process be automated?  \nPage 2 of 6  \nWorksheet  \nReviewing questions in the Data Card Template:  \nWhich fields are inapplicable or irrelevant to your dataset or model? Can this change in the future?  \nWhat fields are applicable, but appear infeasible to document? Why?  \nWhich fields need a human-written answer? Which can be automated?  \nPage 3 of 6  \nOrganizing timelines and distributing the work:  \n When do you hope to have it completed by?  \nWhich fields are likely to take longer to answer? How long?  \nAre there any additional analyses that need to be factored into the timeline?  \nPage 4 of 6  \n What documents need to be gathered to complete the Data Card?  \nWho should be responsible for documenting the answer to a given field? How long is this likely to take?  \nWho else (subject matter experts, analysts, others) should be brought into the project?  \nWhat for?  \nPage 5 of 6  \nWrapping up your Data Card:  \n Who needs to review, verify, or sign off on the transparency artifact?  \nWhich fields are likely to change or require maintenance over time? Can this process be automated?  \nThe Data Cards Playbook ↗ by Google Research is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.  \nYou are free to share and adapt this work under the appropriate license terms ↗ .  \nPage 6 of 6","cbCaiapBlj8uMjqo","https://ap.wps.com/l/cbCaiapBlj8uMjqo","pdf",151110,6,"English","# Activity\n## Instructions\n## Reviewing questions in the Data Card Template\n## Organizing timelines and distributing the work\n## Wrapping up your Data Card","[{\"question\":\"What should a team do before answering the checklist questions?\",\"answer\":\"Review the Data Card template as a group to identify relevant questions and organize the resources needed (analysis, documents, and people).\"},{\"question\":\"How does the checklist help teams plan timelines and workload?\",\"answer\":\"It prompts teams to set a target completion date, estimate which fields will take longer, factor in additional analyses, gather required documents, and define responsibility for each field while estimating duration.\"},{\"question\":\"What steps are included for finishing and maintaining the Data Card?\",\"answer\":\"It asks who must review/verify/sign off on the transparency artifact, which fields are likely to change over time, and whether parts of the process can be automated.\"}]","Early Review Checklist | PDF",1790257287]