Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Amy Hawn Nelson"'
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective and Approach At the 2022 IPDLN Conference, we presented work led by the North Carolina Department of Health and Human Services (NCDHSS), in partnership with university-based researchers, to build legal and ethical processes for routine data
Externí odkaz:
https://doaj.org/article/7bc3f0f5ba974b259739c3d9ba1970fd
Autor:
Amy Hawn Nelson, Adelia Jenkins, Deja Kemp, Emily Berkowitz, TC Burnett, Jessie Rios Benitez, Sharon Zanti
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective and Approach Cross-sector data sharing and linkage can transform information about individuals into actionable intelligence to build stronger, healthier, and more just communities. Yet, the use of cross-sector data can also reinforce legaci
Externí odkaz:
https://doaj.org/article/e33e20cdc6e24e4689b3a628936b321a
Publikováno v:
Data & Policy, Vol 6 (2024)
Public agencies routinely collect administrative data that, when shared and integrated, can form a rich picture of the health and well-being of the communities they serve. One major challenge is that these datasets are often siloed within individual
Externí odkaz:
https://doaj.org/article/31b448d658bb4e92ba45da7cea60409f
Autor:
Amy Hawn Nelson, Sharon Zanti
Publikováno v:
International Journal of Population Data Science, Vol 8, Iss 4 (2023)
Introduction This paper presents a Four Question Framework to guide data integration partners in building a strong governance and legal foundation to support ethical data use. Objectives While this framework was developed based on work in the Unite
Externí odkaz:
https://doaj.org/article/c5d51111ec0c49529f5f3a1560713eaa
Autor:
P Alison Paprica, Monique Crichlow, Donna Curtis Maillet, Sarah Kesselring, Conrad Pow, Thomas P. Scarnecchia, Michael J. Schull, Rosario G. Cartagena, Annabelle Cumyn, Salman Dostmohammad, Keith O. Elliston, Michelle Greiver, Amy Hawn Nelson, Sean L. Hill, Wanrudee Isaranuwatchai, Evgueni Loukipoudis, James Ted McDonald, John R. McLaughlin, Alan Rabinowitz, Fahad Razak, Stefaan G. Verhulst, Amol A. Verma, J. Charles Victor, Andrew Young, Joanna Yu, Kimberlyn McGrail
Publikováno v:
International Journal of Population Data Science, Vol 8, Iss 4 (2023)
Introduction Around the world, many organisations are working on ways to increase the use, sharing, and reuse of person-level data for research, evaluation, planning, and innovation while ensuring that data are secure and privacy is protected. As a c
Externí odkaz:
https://doaj.org/article/940b2c3308a8427586a6aa4c7e236fc9
Autor:
Amy Hawn Nelson
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Objectives This presentation describes a successful framework for developing and implementing processes to support intradepartmental data access, integration, and use in the US. This case study describes on-going streams of work, 2019-present, to imp
Externí odkaz:
https://doaj.org/article/484ae0fd0c264356b66183cb6d5c5845
Autor:
Amy Hawn Nelson, Emily Berkowitz
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Objectives • Present a conceptual data model for understanding the impacts of COVID on children 0-5 • Outline administrative datasets with relevant indicators that are commonly collected, integrated at the individual level, and include releva
Externí odkaz:
https://doaj.org/article/d46ec03362e44d61ab75edd49a7108f1
Autor:
Heather L. Rouse, Rebecca J. Bulotsky Shearer, Sydney S. Idzikowski, Amy Hawn Nelson, Mark Needle, Matthew F. Katz, Jhonelle Bailey, Justin T. Lane, Emily Berkowitz, Sharon Zanti, Astrid Pena, Maggie Reeves
Publikováno v:
International Journal of Population Data Science, Vol 5, Iss 4 (2021)
The COVID-19 pandemic made its mark on the entire world, upending economies, shifting work and education, and exposing deeply rooted inequities. A particularly vulnerable, yet less studied population includes our youngest children, ages zero to five,
Externí odkaz:
https://doaj.org/article/585ebaa80fda438ca49a618cb80783ec
Autor:
Amy Hawn Nelson, Emily Berkowitz
Publikováno v:
International Journal of Population Data Science, Vol 5, Iss 5 (2020)
Background Public agencies hold important, yet largely unused, administrative data on the families and communities they serve. Integrated Data Systems (IDS) provide the governance process, legal framework, technology, and human capacity to connect th
Externí odkaz:
https://doaj.org/article/280ee1b3c5934359b295c782a9d1e244
Autor:
Amy Hawn Nelson
Publikováno v:
International Journal of Population Data Science, Vol 5, Iss 5 (2020)
Data integration by local and state governments is undertaken for the public good to support the interconnected needs of families and communities. And though data infrastructure is a powerful tool to support equity-oriented reforms, equity is rarely
Externí odkaz:
https://doaj.org/article/04ce40a865ad4130a4b502324654cd83