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Linked, de-identified data from the RILDS can be used by approved researchers, under strict security and confidentiality requirements, with agency consent. The use of RILDS data is always driven by state priorities and is either commissioned by the state or undertaken with state approval.
Katherine A. Shields, Jessica Bailey, Makoto Hanita, Xinxin Zhang
Regional Educational Laboratory Northeast & Islands
2021
Silvie Senauke, Kanika Singh
Harvard Kennedy School
Master in Public Policy Candidates
2018
Paul Harrington, Neeta Fogg, Laura Kroll
The Center for Labor Markets and Policy at Drexel University
2017
Akiva Liberman, Michael Katz
Urban Institute
2017
Anna Aizer, Janet Currie, Peter Simon,
Patrick Vivier
Brown University, Princeton University
2016
If you don’t find what you need through our data stories and reports, please complete a data request. In the RILDS Data Request Form, briefly describe your project and how it benefits the people, policies, and programs of Rhode Island. The RILDS Data Holdings below may be helpful to you in this process.
We'll do our best to respond within five (5) business days. Please note that we operate under a cost-recovery model, and a contract must be established for our services.
The following datasets are held by RILDS. Third-party researchers and external partners may not be able to request all data.
Aggregate-level RILDS data are grouped, with counts below 10 suppressed.
A Data Use Agreement is not required, although Contributing Agencies must approve the request as well as review the outgoing aggregate-level data.
A Data Use Agreement is not required, although the RILDS Data Contributing Agencies must approve the request as well as review the outgoing aggregate-level data.
Individual-level, but fully de-identified RILDS data do not contain direct identifiers or personally identifiable information (e.g., names).
A Data Use Agreement is required for any individual-level data to ensure that data are used in accordance with federal and state law. Once the Data Use Agreement has been executed, DataSpark can begin preparing your requested dataset.
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