ADRIAN BROWN, Practical Digital Preservation: A How-To Guide for Organizations of Any Size
Bibliographic record
Abstract
While the literature in the area of digital preservation is rich, Practical Digital Preservation: A How-To Guide for Organizations of Any Size distinguishes itself from the more recent literature by providing extensive and easy-to-follow directions at a very practical level for digital preservation implementers.As a developer and custodian of a digital archive, i greatly appreciate this approach.The book provides, in simple, practical steps for archivists, librarians, records managers, and anyone else interested in digital preservation, all they need to know about establishing a digital preservation program.it will assuage worries about not having everything perfectly in place from the very beginning or not having the answers to all the technical challenges that one might encounter.Moreover, the book shows that the lack of one perfect solution does not mean that we should not start the process of moving toward digital preservation.Another strong feature of the book is the extensive use of case studies that provide the reader with real-world contextualized implementations, distilled through the author's many years of experience in the field of digital preservation (Brown was the former head of preservation and access at the Parliamentary Archives in London before becoming the acting director in April 2013; prior to that, he served as head of digital preservation at The National Archives from 2005 to 2009).These case studies amply demonstrate the book's main point that "digital preservation is a practical proposition for all" (p.17).The book is organized into ten chapters, and by and large, the order of the chapters follows the typical succession of the all-encompassing activities needed to move toward a digital preservation service for both born-digital and digitized content.Each chapter ends with a short conclusion and/or key points.i found it pleasantly surprising to see that the glossary was placed at the beginning of the book, providing the reader, from the start, with a list of very specialized terms, acronyms, and concepts associated with digital preservation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".