Open Data Coordinators
About Open Data Coordinators
Each Agency must designate one of its employees as the Agency’s Open Data Coordinator (ODC). Each ODC will act as the coordinator of open data efforts for that Agency, and have the following responsibilities:
- Identify and enable the delivery of data sets to the Open Data portal;
- Develop the Agency portions of the citywide compliance report;
- Liaise with the Open Data team at the Mayor’s Office of Data Analytics (MODA) and the Department of Information Technology and Telecommunication (DoITT);
- Address feedback from the public for the Agency’s public data sets; and
- Perform public outreach and presentations with the aim of increasing strategic use of the City’s data sets.
The ODC should be excited about government transparency, well-networked within their agency, deeply familiar with the agency’s business practices, and fluent with data.
Resources and Guidelines
2021 Annual Reporting documents
2021 NYC Open Data Compliance Reporting Workbook.xlsx: ODCs should follow the instructions in the workbook to satisfy their agency’s 2021 Open Data reporting requirements. Workbooks are due June 21, 2021. Last updated May 4, 2021.
2021 Open Data General Counsel Certification Letter.pdf: ODCs should have their General Counsels certify the accuracy and completeness of their workbooks when they submit. Last updated May 4, 2021.
Open Data Automation Guidelines.pdf: Guidelines on whether datasets can feasibly be automated. Last updated April 2018.
Open Data Plan Tracker: Itemized dataset publishing schedule. Continuously updated.
Open Data Asset Inventory: Itemized dataset with all of NYC Open Data’s inventory of current data assets on www.nyc.gov/opendata. Continuously updated.
FOIL Reporting Guidelines.pdf: Local Law 7 of 2016 and Local Law 247 of 2017 mandate that agency records officers review responses to FOIL requests for datasets that may be eligible for NYC Open Data and report the results. These guidelines include the relevant text from the NYC Admin. Code and define “public dataset.” Last updated April 2018.
METADATA FOR ALL RESOURCES
Last updated December 2018
Metadata for All Guide for Open Data Coordinators: Read this guide to understand the goals of Metadata for All and for guidance on meeting the new Metadata for All Standard.
Data Dictionary Template (google sheet format): A Google Sheet that can be copied and used for every new Data Dictionary. Each template is already formatted and has suggestions for how to fill out each section. Examples: 311 Service Requests, 2010 to Present; For Hire Vehicles-Active; Neighborhood Tabulation Areas (NTAs)
User Guide Template (narrative format): A Google Doc that can be copied and used for every new User Guide. Each template is already formatted and has suggestions for how to fill out each section. Examples: 311 Service Requests, 2010 to Present; For Hire Vehicles-Active; Neighborhood Tabulation Areas (NTAs)
Glossary of Terms: A list of standard definitions for fields that appear in a number of NYC Open Data sets; you can pull from these standard definitions when developing new metadata for your User Guide or Data Dictionary.
Metadata for All Rubric: The Metadata for All Rubric was developed to help you assess whether your User Guide and Data Dictionary are complete and meet metadata usability criteria. You must be able to check all of the boxes on the Rubric in order to meet the Metadata For All Standards for user-friendly metadata.
Questionnaire: A set of questions to help you start thinking about the type of information you will need to gather for your Data Dictionary and User Guide.
Process Map Worksheet: A tool for helping you to map out the programs, policies, and agency structures behind the dataset; this will help suss out metadata that you will need to write about in your User Guide.
Community Engagement Workshop Template: An exercise you can conduct with the public, to gather feedback on how well your Data Dictionary and User Guide are meeting their needs.
Open Data Help Desk (Screendoor) Onboarding.pdf: This document outlines what the NYC Open Data Help Desk system is and provides guidelines on how to use the software (Screendoor) in addition to guidance on how to respond to the public and use pre-filled templates.
Open Data Help Desk (Screendoor) Policies.pdf: This document outlines customer service response time policies for Open Data Coordinators.
Open Data Dictionary Template.xlsx: Metadata template for individual datasets. All datasets require a plain-language data dictionary by December 31, 2017. Last updated April 2017. To be discontinued after January 31, 2019. See the new Metadata for All Data Dictionary template in the Metadata for All section which will be required starting February 2019.
Open Data Collections Data Dictionary Template.xlsx: Metadata template for Data Collections. A Data Collection consists of multiple datasets related to each other through primary and foreign keys. Only one metadata template needs to be filled out for the entire Collection. Last updated April 2018.
Removing a Dataset from the Portal.pdf: Process and guidelines on removing an existing data asset from the Open Data Portal. Last updated February 2018.
NYC Open Data Legislative Requirements.xlsx: Detailed description of each piece of relevant Open Data legislation, required data standards, and timeline for compliance. Last updated June 2017.
Technical Standards Manual.pdf: The Technical Standards Manual (TSM) defines the citywide open data policies and standards. Last updated April 2018.
Department of Education (DOE) Data Publishing Instructions.pdf: Data publishing processes for DOE data owners.
What is City Data?.docx: High-level overview of public datasets and best practices for publishing data on the Open Data Portal. Last updated July 2017.
ODC Training Materials
On March 1 and 2, 2018, all NYC Open Data Coordinators attended mandatory trainings to onboard to the NYC Open Data platform, business processes, legal standards, and values. Slides from each section of the trainings are below:
For ODCs: Request a service from the NYC Open Data Team