Structured Data Formats with Connected Data Architecture
In the realm of digital preservation, the National Archives and Records Administration (NARA) has established a meticulous framework to categorise and manage various file formats, including structured data.
Structured data, which resides in fixed fields within records or files, can encompass data from relational databases, spreadsheets, marked up text, or plain-text delimited data. Examples of such structured data formats in NARA's Digital Preservation Framework (DPF) include Extensible Markup Language (XML) in its versions 1.0, 1.1, and unspecified, Comma Separated Values (CSV), eXtensible Metadata Platform, JavaScript Object Notation (JSON), Mathematica Computable Document Format, HLM Multivariate Data Matrix Format (MDM), and Extensible Forms Description Language (XFDL).
Each of these formats has its unique identifier, known as the NARA Format ID, which enables consistent referencing and management. The DPF Category classifies formats according to preservation needs, sustainability, and content type, such as text, images, or structured data.
NARA's Linked Open Data TTL (Terse Triple Language) is used to semantically describe format metadata and relationships. This information is typically housed within NARA's infrastructure and not publicly detailed in the available search results. To obtain the exact list with NARA Format IDs, DPF categories, and Linked Open Data TTL for structured data, consult NARA’s official metadata or technical documentation portals, explore the NARA Catalog or the NARA Digital Preservation System, or contact NARA directly.
It's worth noting that NARA provides digital preservation and records management solutions that comply with federal standards, including detailed metadata curation for accessibility and long-term preservation of various formats. However, the specific format IDs and TTL data are not explicitly listed in these resources.
Moreover, the U.S. General Services Administration (GSA) collaborates with NARA by establishing requirements for electronic records management systems compliant with NARA’s Universal ERM Requirements. Yet, these do not list the format IDs or TTL data explicitly.
In summary, while the exact list of structured data formats with their associated NARA Format IDs, DPF categories, and Linked Open Data TTL may not be publicly detailed, it is readily available through NARA's official technical resources or archival metadata repositories. For those seeking this information, direct consultation or exploration of NARA's internal systems is recommended.
Lastly, it's important to mention that RDF Turtle files, used in NARA’s linked open data, can be opened in any text editor, making it accessible to a wide range of users. The "Structured Data: Generic Preservation Plan" can also be used as test criteria for tools and processes used in format transformations.
Technology and data-and-cloud-computing play crucial roles in NARA's Digital Preservation Framework (DPF). For instance, structured data formats, like XML, CSV, JSON, and others, are classified and managed using technology, while the "Structured Data: Generic Preservation Plan" is a test criteria for tools and processes used in format transformations, demonstrating the emphasis on cloud-computing in preserving various digital formats.
