Toward a 21st Century National Data Infrastructure: Mobilizing Information for the Common Good (2023) / Chapter Skim
Currently Skimming:
1 Introduction
1 Introduction
Pages 11-18
The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.
From page 11... ...
The report also discusses the implications of blending data from multiple sources as well as the organizational implications of cross- sector data access and use. The report concludes by identifying short- and medium-term activities to facilitate progress toward the full vision.
|
From page 12... ...
have become increasingly available to blend with other sources, and the National Academies' reports also offered guidance to federal agencies regarding technical solutions for working with alterna tive data sources. Similarly, CEP reported that "household survey data collection pro grams, including key U.S.
|
From page 13... ...
In 2019, CNSTAT formulated the following definition of data infrastructure to guide future work:1 The data infrastructure consists of data assets; the technologies used to discover, access, share, process, use, analyze, manage, store, preserve, protect, and secure those assets; the people, capacity, and expertise needed to manage, use, interpret, and understand data; the guidance, standards, policies, and rules that govern data access, use, and protection; the organi zations and entities that manage, oversee, and govern the data infra structure; and the communities and data subjects whose data is shared and used for statistical purposes and may be impacted by decisions that are made using those data assets. This report is the first of three targeted consensus reports by separate panels exploring specific aspects of a 21st century national data infrastructure.
|
From page 14... ...
Formerly titled: The technology, tools, and capabilities needed for data sharing, use, and analysis, including: • Alternative approaches and techniques for protecting privacy and confidentiality; • Alternative sustainable organizational models for data sharing; and • Approaches to ensure transparency of the datasets, the use of the data, as well as the resulting products. The committee for each report will convene a 1.5 day virtual public work shop for each topic to seek input from key stakeholders and external experts relevant to the specific charge.
|
From page 15... ...
As a result, in formulating its v ision, the panel looked beyond federally controlled and directed data a ssets as specified in the Evidence Act. The panel's vision for a new data infrastructure includes all relevant data assets held by federal, state, tribal, territory, and local governments; the private sector; nonprofit and academic institutions; as well as crowdsourced and citizen-science organizations.
|
From page 16... ...
. Similar to the CEP report, ACDEB is not actively researching the utility of blending private sector data with data assets from the federal statistical system.
|
From page 17... ...
data sources to improve national statistics. Employees from statistical agencies in the United States and Europe, researchers, and private sector representatives shared lessons learned from these activities, including legal and technical constraints and contractual issues related to acquiring and working with private sector data.
|
From page 18... ...
The chapter highlights reports that recommend the use of blended data, and it discusses recent congressional efforts, which are necessary but insufficient, to expand data access and use. Chapter 3 describes a vision for a new data infrastructure, the expected outcomes, and the seven key attributes of that infrastructure.
|
Key Terms
This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More
information on Chapter Skim is available.