File Naming
File Naming - Related Videos
02:21
Naming Enantiomers
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2023
The naming of enantiomers employs the Cahn–Ingold–Prelog rules that involve assigning priorities to different substituent groups at a chiral center. Each enantiomer, being a distinct molecule, is assigned a unique name by the Cahn–Ingold–Prelog (CIP) rules, also called the R–S system. The prefix R- or S- attached to the chiral centers in an enantiomer is dependent on the spatial arrangement of the four substituents on the chiral center. The R–S system essentially comprises three steps:...
01:19
Naming Skeletal Muscles
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2024
The naming of the approximately 700 muscles in the human body is based on a set of criteria designed to provide descriptive information about each muscle, making it easier to identify and remember them. The key factors used in naming muscles include: Region of the Body: Certain muscles in the body are classified based on their location or association with a specific area. For example, the temporalis muscle is in the head region, whereas the brachialis is in the arm. Position and Depth:...
08:08
Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese
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Cited by 8 •
2016
Researchers adopt both the lexical decision task and the naming task to investigate some important topics such as character/word recognition by comparing the frequency effect between these two tasks. This article introduces this approach through two exemplar experiments and elaborates on the underlying logic.
01:11
Common Names of Aldehydes and Ketones
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2023
Some common aldehydes and ketones are popularly known by their common names used historically and predate the IUPAC nomenclature. Common names of aldehydes are derived from the names of their corresponding acid. For instance, the two-carbon aldehyde–acetaldehyde derives its name from the corresponding acid–acetic acid. Similarly, formaldehyde derives its name from formic acid and benzaldehyde from benzoic acid. Aliphatic ketones are named by suffixing the word “ketone” to the alphabetically...
03:07
Scanning Electron Microscopic Evaluation of Surface Defects of Remover Retreatment File After Single and Multiple Uses
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Cited by 1 •
2024
Here, we present a protocol for evaluating the surface characteristics of endodontic retreatment files after repeated use in retreatment procedures, utilizing scanning electron microscopy to identify and analyze potential surface defects.
FAQs
Select fields that distinguish one research record from another, such as project, sample or specimen, experiment, date, data type, and version. Keeping these fields in a predictable order makes names easier to scan and supports automated sorting. The most useful structure reflects the laboratory workflow, whether files come from imaging, biomaterials testing, computational modeling, or biological assays.
Standardized separators make individual fields easier to recognize, while consistent terminology prevents the same sample, experiment, or data type from receiving multiple labels. This reduces ambiguity when collaborators exchange records and helps systems sort files predictably. A shared vocabulary also strengthens data integrity because users can interpret names consistently across laboratory projects and research groups.
Including a version field distinguishes successive forms of a file and helps collaborators identify which record should be used. Version information is especially valuable when research data are revised, processed, or shared during an ongoing project. Combined with project, experiment, and date fields, it supports reproducibility by making changes and the relationship between related records easier to follow.
A filename provides a compact set of identifying details, but it cannot capture every property of a research record. Structured folders add organizational context, while metadata can hold more extensive descriptions and quality-control information. Using these elements together improves retrieval and long-term management, because the name supports quick recognition and the surrounding record preserves additional scientific context.
First identify the project, sample or specimen, experiment, date, data type, and version fields needed for the workflow. Next apply the agreed terminology and separators in the same order for every file. Finally, place the records in structured folders and review names for ambiguity before sharing or transferring them. This process supports consistent records from acquisition through analysis.
It is useful whenever a project produces many related records or involves multiple contributors, including imaging studies, biomaterials testing, computational modeling, and biological assays. Consistent names help collaborators locate the intended sample or experiment, support automated sorting, and improve transfer of research records. They also contribute to quality control and reproducibility when files move between laboratory workflows.