Digital Archiving
Digital Archiving - Related Videos
01:40
Archival Research
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2020
Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
07:30
Using Archival Japanese Paper and Thermoplastic Resins to Prepare Fossils for Storage, Display, Transport, and Radiography
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2025
This article presents a suite of techniques for reconstructing fossil specimens using paper-resin composites. These composites are made by combining archival-grade paper with thermoplastic resins commonly used in fossil preparation laboratories. The resulting lightweight composites add long-term stability to specimens while retaining suitability for radiological analyses.
07:43
Four-color Fluorescence Immunohistochemistry of T-cell Subpopulations in Archival Formalin-fixed, Paraffin-embedded Human Oropharyngeal Squamous Cell Carcinoma Samples
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Cited by 1 •
2017
Multiparameter fluorescence immunohistochemistry can be used to assess the number, relative distribution, and localization of immune cell populations in the tumor microenvironment. This manuscript describes the use of this technique to analyze T-cell subpopulations in oropharyngeal cancer.
08:06
Use of a Low-flow Digital Anesthesia System for Mice and Rats
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Cited by 4 •
2016
Here, we present a protocol to more safely and efficiently administer anesthetic gas to mice using a digital, low flow anesthesia system utilizing a syringe-driven direct injection vaporizer.
10:55
Digital Microfluidics for Automated Proteomic Processing
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Cited by 30 •
2009
Digital Microfluidics is a technique characterized by the manipulation of discrete droplets (~nL - mL) on an array of electrodes by the application of electrical fields. It is well-suited for carrying out rapid, sequential, miniaturized automated biochemical assays. Here, we report a platform capable of automating several proteomic processing steps.
FAQs
Descriptive metadata makes archived neuroscience data interpretable rather than merely stored. It records information that documents what a dataset contains and how it relates to an experiment, helping users connect imaging, electrophysiology, behavioral measurements, code, and documentation. This context supports later retrieval and allows researchers to assess whether data are suitable for comparison or reuse.
Checksums provide an integrity check by allowing archived files to be examined for corruption after storage, retrieval, or migration. A mismatch signals that the preserved file no longer matches the recorded state, prompting attention before analysis continues. In neuroscience, this protects the continuity of large imaging or electrophysiology records as they move between storage systems.
Standardized file formats and redundant storage address different risks. A consistent format helps data remain usable when software changes, while redundant copies reduce the chance that a storage failure eliminates information. Together with secure storage, these measures support continuity across hardware and software transitions, which is especially important for irreplaceable experimental records.
A practical archiving workflow begins by gathering the data and associated code and experimental documentation, then adding descriptive metadata and placing files in standardized formats. The archive should use secure storage, redundant backups, and integrity checks such as checksums. During later migration or retrieval, those checks and the documented provenance help verify that records remain authentic and usable.
Neuroscience archives can preserve more than a final dataset. Imaging datasets, electrophysiology recordings, behavioral measurements, analysis code, and experimental documentation can be kept together as a research record. Linking these components helps investigators reproduce analyses and interpret results in context, rather than attempting to reconstruct methods from isolated measurements.
Long-term stewardship makes archived data useful beyond the original project. Researchers can compare findings across studies, collaborate using shared records, and reuse valuable measurements or code when the archive retains sufficient context and access over time. This broader availability also safeguards research outputs against changes in software, hardware, and storage systems.