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After a dataset is identified, it will go through an evaluation for prioritization across the five categories. A 0-2 ranking (0 = None/Poor, 1 = Some/Acceptable and 2 = All/Good) will be assigned to each dataset for each category and then a composite score will be calculated.
Recognizing that data quality impacts the usefulness of a released dataset, each dataset will also be evaluated for quality. The inventory of datasets will be ranked and then scheduled for release according to priority, quality and resources available.
I. Data commonly asked for in Open Record Requests
II. Data of public interest
III. Data which has documentation (metadata)
IV. Data which does not have sensitive or confidential information
V. Data which can be easily produce and distributed