ACF Privacy and Confidentiality Toolkit Case Studies - Updated March 2022

Formative Data Collections for ACF Program Support

OMB Change Req - Ques CL - 2022-03-07

ACF Privacy and Confidentiality Toolkit Case Studies - Updated March 2022

OMB: 0970-0531

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Survey of Data Sharing Initiatives for Year 2 Case Study Site Selection

Thank you for taking the time to answer the following questions. Before we begin, I need to tell you that a Federal agency may not conduct or sponsor, and no individual or entity is required to respond to, nor shall an individual or entity be subject to a penalty for failure to comply with a collection of information subject to the requirements of the Paperwork Reduction Act of 1995, unless that collection of information displays a currently valid OMB Control Number. The OMB number for this information collection is 0970-0531 and the expiration date is 7/31/2022.



1) How long has your data sharing initiative been operational?

____years _____ months



2) Are operations ongoing?

  • Yes

  • No



3) From which sectors does your data sharing initiative receive data? (Select all that apply.)

  • Human services

  • Health care

  • Education

  • Criminal justice

  • Other, specify __________________________



4) Does your system connect data from people in different generations of the same family (e.g., parent-child, grandparent-child)?

  • Yes

  • No



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Comments (if any):







5) Do your data-contributing partners include both governmental and non-governmental entities?

  • Yes

  • No

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Comments (if any):







6) How many entities have contributed data to your data sharing initiative in total?

Number: _________

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Comments (if any):









7) Does your data sharing initiative share data across jurisdictions (i.e., across states, counties, or with tribal organizations)?

  • Yes (GO TO #8)

  • No (SKIP to #9)



8) If yes, is the cross-jurisdictional data sharing (check all that apply)…

  • Across state lines

  • Across county lines

  • With tribal organizations

  • Other, specify ______________________________

Shape4

Comments (if any):







9) Has your data sharing initiative been used to help service providers respond to the needs arising from the COVID-19 pandemic?

  • Yes

  • No

Shape5

Comments (if any):







10) Do you have both internal and external data users?

  • Yes, we have both internal and external data users

  • No, we only have internal data users (SKIP TO #12)

Shape6

Comments (if any):









11) Approximately how many external data users are given access to your data in a typical year?

Number: _________

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Comments (if any):







12) Does your data sharing program add value through analysis of data and development of data products, such as public use data sets or data tables and graphs for publication?

  • Yes

  • No

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Comments (if any):







13) Do you feel your operations can be emulated by others or are your circumstances unique?

  • Yes, our operations can be emulated by others

  • No, our circumstances are unique

Shape9

Comments (if any):







14) Does your system have virtual data access and sharing?

  • Yes

  • No

Shape10

Comments (if any):







Data virtualization involves creating virtual views of data stored in existing databases. The physical data doesn’t move but you can still get an integrated view of the data in the new virtual data layer. This is often called data federation (or virtual database), and the underlying databases are the federates.

https://www.marklogic.com/product/comparisons/data-hub-vs-data-lake/


15) Do you have legal agreements between data partners?

  • Yes

  • No

Shape11

Comments (if any):









16) Do your data intake procedures emphasize the following? (select all that apply)

  • quality assurance

  • data integrity

  • data disclosure risk reduction

  • documentation

Shape12

Comments (if any):











17) What data methods do you use to block efforts to identify persons? (select all that apply)

  • Restrict access

  • Remove direct identifiers

  • Data coarsening (recodes, variables suppression)

  • Data anonymization (perturbation, synthetic, formal privacy)

  • Other, specify

Shape13

Comments (if any):









18) Thank you for completing this survey. May we also please have your:

Name: _________

Work Title: _________

Work phone number: _________

Shape14

Comments (if any):

Work email address: _________


File Typeapplication/vnd.openxmlformats-officedocument.wordprocessingml.document
AuthorFrank Bennici
File Modified0000-00-00
File Created2022-05-04

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