The purpose of this repository is to gather feedback from stakeholders about the feasibility of developing a platform to crowdsource statewide data regarding the availability of social services in local communities. We invite any and all interested parties to share their thoughts using GitHub Issues or by sending an email to [[email protected]](mailto:[email protected]?subject=Crowdsourcing Social Services Data).
The California HealthCare Foundation (CHCF) launched the California Health Data Project in March 2015 — a pilot program to encourage local communities statewide to use open health data from the California Health and Human Services Agency (CHHS) in tangible and relevant ways. There are three pilot projects running in Sacramento, Fresno, and Los Angeles.
The project is bringing together CHHS, local governments, and, most importantly, the community — service providers, civic technologists, and advocacy groups — to ensure this valuable information is finding its way into the hands of people and organizations that can put it to good use.
The Sacramento pilot project is led by Code for Sacramento core team members Joel Riphagen and Ash Roughani. We held a Sacramento Health Data Roundtable meeting on May 4, 2015 to discuss current uses of health data in the region and explore opportunities to create additional value by leveraging the CHHS data portal. In addition, we’ve collected feedback from the community through two surveys and have met with some stakeholders individually.
Working with the community, our mandate is to create and deploy at least one web application, visualization, or product using state health data that benefits local communities statewide by August 15, 2015.
A consistent theme that emerged from conversations in Sacramento (as well as Fresno and Los Angeles) pertained to the lack of openly available information regarding social services. Specifically, our communities have expressed strong interest in a web application that would allow users to query information about providers based on their location and specific need (SMC Connect is an example of one possible implementation). It is our understanding that the Department of Social Services does not collect information about social service providers and, therefore, would not be able to publish that data to the state portal.
While the creation of a comprehensive statewide database that incorporates the needs of all stakeholders far exceeds the scope of this project, a potential opportunity exists to deploy a lightweight solution to crowdsource this data and publish it upstream to the state portal.
We envision a solution that consists of four components:
- A web application that allows users to submit new or updated information about social service providers;
- A process for approving and rejecting those submissions;
- Publication of approved submissions to the CHHS Open Data Portal; and,
- A web application for querying data about social service providers.
We believe this is an elegant solution because it leverages existing technology, could be deployed within two months, is a voluntary effort (as currently conceived), and would require minimal additional resources or expenditures.
To efficiently crowdsource the data, we believe anyone should be able to submit new or updated information about social service providers without the need to create a user account. Form fields should be minimal, representing only the most critical information a user needs to discover social services.
An approval process will help ensure data quality. Because this would require excessive resources at the state level, we propose that a lead agency within each county (e.g., Human Services Department, 211, United Way, etc.) designate an individual who can approve or reject submissions on a daily basis. This approval process primarily is intended to filter out clearly erroneous information. Counties appear to be best equipped to make these judgements and approval at the local level is an efficient allocation of the aggregate workload.
Upon approval, each submission will automatically sync with a social services dataset in the CHHS portal. That dataset should include a disclaimer that the state is not responsible for the accuracy of the data, i.e., the state’s role in this effort is merely to provide a single database where information about local social service providers throughout the state may be stored.
To enable a consumer facing experience in accessing the data, we would develop and deploy a client-side web application from which users may query data from the state portal via its application programming interface (API). The web application would help consumers statewide find the services they need based on their location.
In assessing the feasibility of this conceptual solution, we are asking stakeholders to consider some of the following questions:
- Should this issue be addressed at the state level, albeit on a voluntary basis, or should efforts to publish open social services data be focused solely at the local level?
- Would implementation of this solution constitute duplication of effort in the context of existing efforts to make local social services data freely and openly available? If so, would a federated model be feasible?
- Is crowdsourcing an adequate approach to collecting this data? How might we incentivize the submission of data?
- Is it reasonable to expect that a lead agency in each county would be willing to approve and reject submissions absent additional resources? Are there alternative approaches to ensuring data quality?
- Would this approach help or hinder efforts to implement social services data standards across the state?
- On balance, would this type of solution solve more problems than it might create?
There are many technical issues that need to be resolved prior to deployment of this solution. However, we are working to reach consensus with stakeholders on the following principles that form the basis of this solution:
- Data about social services should be openly and freely available.
- The CHHS data portal is an adequate, no-cost data warehouse for counties to store basic information about social service providers.
- Participation in this program should be completely voluntary.
- Crowdsourcing — while imperfect — is the fastest route to free social services data.
- Approval of submissions is most efficiently accomplished at the local level.
- Making the information available as quickly as possible is more important than conforming to a particular data standard.
- If the project is successful, we can engage stakeholders in the future to conform the solution to a particular data standard.
If you would like to provide feedback on this conceptual proposal to crowdsource social services data, please create an issue on GitHub or send us an email at [[email protected]](mailto:[email protected]?subject=Crowdsourcing Social Services Data).