> For the complete documentation index, see [llms.txt](https://nycanalytics.gitbook.io/2018-nyc-opendata-examverf-report/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://nycanalytics.gitbook.io/2018-nyc-opendata-examverf-report/e-and-v-background.md).

# E\&V Background

In December 2015, the New York City Council passed Intro No. 916-A, which required an agency designated by the Mayor to conduct a series of examinations of select City agencies’ data assets to verify their compliance with the Open Data Law. In January 2016, Mayor Bill de Blasio signed Int. No. 916-A into Local Law 8 of 2016 (Appendix A) and appointed the Mayor’s Office of Data Analytics (MODA) to oversee the process. MODA then prepared an Examination and Verification (E\&V) plan that was approved by the Commissioner of the Department of Investigation.

{% file src="/files/-LSp-eFJd8leYiW2HS5H" %}
Local Law 8 of 2016
{% endfile %}

In December 2016, MODA submitted the results of the first E\&V for the Department of Sanitation (DSNY), Department of Correction (DOC), and Department of Housing Preservation and Development (HPD). In 2017, MODA submitted examinations of the Department of Buildings, Fire Department (FDNY), and the Department of Environmental Protection (DEP). These results can be found in the [**“Reports”**](https://opendata.cityofnewyork.us/open-data-law/#reports) section of the Open Data website.

The E\&V process is designed to improve citywide compliance with the Open Data Law by creating a more systematic way to locate datasets that may have been excluded in agencies’ self-reported open data compliance plans. Agency Open Data Coordinators (ODCs), who serve as liaisons to MODA and DoITT and coordinate data publishing in their agencies, were responsible for fulfilling the E\&V requirements on behalf of their agencies.

Each year, MODA has gathered feedback from ODCs at the surveyed agencies, City Council, and the public open data community to improve the E\&V process with each cycle. This year’s cycle featured the following components.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://nycanalytics.gitbook.io/2018-nyc-opendata-examverf-report/e-and-v-background.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.