Digitizing Items: What Do We Gain and What Do We Lose?

For this week’s kitchen activity, I grabbed five items from the kitchen with little planning — a bottle of apple juice, a tub of Garri (grated cassava), a bag of microwave popcorn, a red measuring bowl catching water from the tap, and a shelf of pots and pans. I photographed them with my iPhone 15. Then I ran two of them, the juice bottle and the Garri tub, through KIRI Engine to generate 3D models. Comparing the two versions of “digitizing” the same items made it clear what digitization captures and what it drops. The plain photographs conserved surface, color, and label text moderately well, but compressed each item into a single flat perspective. For instance, I couldn’t stroll around the Garri tub the way I could in the kitchen. But the 3D scans reconditioned volume by allowing me to rotate and examine the item from any angle, although the final models/outcome seemed remarkably altered and sometimes sharper or stranger than the source photographs.

This aligns with how Drucker depicts photogrammetry as a method formed from various images sewed into a mesh of details and shapes, continuously restricted by “existing physical evidence” (Drucker 2021, 162). A technique that relies on steadily “reading” a surface across tons of photos is precisely the kind of procedure a transparent bottle or a shining plastic lid would contest, which is likely why my scans buckled or faded those surfaces. None of my approaches registered smell, weight, temperature, or the sound of the tap running into the bowl, an indication that the digital record is always an unfinished, technique-dependent slice, never the item itself. No wonder Hughes maintains digitization is not preservation and a replacement can never substitute the original (quoted in Terras, “Digitization and Digital Resources in the Humanities,” n.d.).

That subjectivity has real effects on how we comprehend and utilize digitized resources. Because I only digitized five objects I happened to understand, my little “collection” is a partial, subjective sample of the kitchen, a small-scale variety of the collection delinquent Terras labels at the formal level, where on normal only about 22 percent of European heritage collections have been digitized at all, shaped by funding, curatorial priorities, and “memory politics” instead of research value (Terras 2022, 257, 259; https://doi.org/10.5040/9781350232143.ch-24). Just as Old Bailey Online and Vindolanda Tablets Online reframed corporeal documents as searchable, analyzable metadata, allowing full-text exploration across 190,000 page images, something never conceivable with the paper exemplars — my 3D-scanned Garri tub turned to something I could alternate and measure, but in the process it lost the marker’s legibility and the palpable, appropriate cues that would tell an unfamiliar individual what it is or how it’s used (Terras, “Digitization and Digital Resources,” n.d.). Drucker advances a similar apprehension about 3D “mutant” artifact projects like the Met/Microsoft GenStudio: once objects become manipulable meshes, they risk becoming “autonomous objects,” treasured for form and stripped of their real cultural and everyday role (Drucker 2021, 166–167). Digitization opens genuinely new possibilities, but it always strips away some of an object’s initial worth in exchange for that impressionability.

Finding Digitized Sources for My Research

Finding digitized sources for my research project showed me that investigating historical sources electronically goes beyond randomly typing keywords into a database and selecting the first suitable result. My research centers on African and Nigerian history, specifically questions of colonialism, kinship, paternity, law, and medicine. Because of this focus, I quickly learned that a handful of the databases in this section are not fully applicable to my research.

I began with the George Mason University Library databases and subject guides, exclusively the segments on primary sources and archival collections. These furnished a valuable starting point for finding databases and grasping how libraries structure digital research materials. I also explored collections from the National Library of Medicine, which were especially helpful because my research examines the history of biomedical data and techniques. These explorations pushed me beyond conventional historical databases and led me to consider scientific and medical collections as significant historical sources.

The UK’s Endangered Archives Program (EAP) is the most productive resource for my project. Compared with the handful of databases available in the module, EAP includes digitized archival resources from Africa, including Nigeria. This experience showed a crucial weakness of digital research: digitization does not necessarily equate to equal geographical representation. A database may include thousands or millions of files but still contain little data related to a specific region or research variable.

The module readings also transformed how I reflect about searching. Information: A Historical Companion, Daniel Rosenberg’s examination of “Search,” remarkably stresses that searching is itself a historical and technological exercise rather than a neutral way of recovering data. Rosenberg reveals how information has been constructed, coordinated, saved, and recovered across distinct historical periods.

My experience searching these collections demonstrated the importance of flexibility. When a general database yields few useful results, it signals the need to adjust keywords, seek specialized collections, or search by institution. For my research, valuable digital resources may not be in large databases but in specialized projects such as the George Mason University interlibrary loan and Endangered Archives Program. Digital research compels not only locating sources but also realizing who digitized them, what was protected, what was not, and how the search technique shapes what can be found.

A Navigational Guide to Digitized Archives: Rights, Statuses, and Constraints

For digital humanities (DH) experts, the internet is like an enormous accessible archive. However, as Franky Abbott cautions in the Public Library Partnerships Project video, digitizing substantial material is lawfully a “reproduction,” and presenting it online establishes “publication” in copyright law. To protect your work, closely scrutinize how platforms standardize materials.

Locating Rights Information

Rights metadata connects an item to its lawful status. To find it, search the platform’s individual item metadata plate (normally located under “Usage” or “Rights” fields, as seen on the Internet Archive or NYPL Digital Collections). Extensive terms are also hardcoded into site headings under links identified as “Terms of Use” or “Privacy Policy.”

The Four Crucial Legal Statuses

  1. Public Domain: Works whose legal copyright conditions have terminated, for example, the 1925 Manhattan Land Books at NYPL, are not under copyright limitations. This is publishable on a blog without permission. This is because unabridged digital imaging of public domain data does not create a new copyright.
  2. Licensed Material: Creative Commons licenses let surviving artists retain ownership while permitting public access under restrictions. For instance, the Willis Bell Photographic Archive employs a CC BY-NC-SA 4.0 license, enabling non-commercial blog usage if identifiable attribution is granted.
  3. Active Copyright: Advanced creative works are rightfully secure for the author’s life plus seventy years. While public distribution is restricted, the Data-Sitters Club argues that copying text into a catalog for quantitative text mining constitutes a legally defensible “transformative use” under the Fair Use doctrine, provided it does not create a market substitute.
  4. Terms of Use Constraints: Despite copyright protections, establishments can restrict data use through contract law. As Judy G. Russell notes in The Legal Genealogist, archives administer “browsewrap” or “clickwrap” contracts that help file determinations or stop text indexing completely. For instance, the formal Clarivate Terms clearly assert that users “shall not… perform any text or data mining or indexing.”

Understanding these points helps keep digital humanities exploration ethically grounded and legally protected.