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Research data archiving: Science & Technology

Research data archiving is the long-term storage of scholarly research data, including the natural sciences, social sciences, and life sciences. The various academic journals have differing policies regarding how much of their data and methods researchers are required to store in a public archive, and what is actually archived varies widely between…

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Research data archiving topic overview

The analysis highlights Science and Technology as prominent areas in the source structure around Research data archiving.

Related topics
51
Source areas
5
Connected nodes
56
Extracted relationships
18
Concept neighborhoods
29
Bridge connections
56

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Selected policies by journals · 17 topics
Examples of data libraries · 11 topics
Overview · 9 topics
Data library · 8 topics
Policies by funding agencies · 6 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Suggested research paths

A focused starting point derived from the topic graph, ranked independently of the source article order.

Start with these areas

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Selected policies by journals

Policies by funding agencies

Data library

Examples of data libraries

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Research data archiving connects Entity context

The extracted context around Research data archiving shows recurring relationship patterns in the source. For example, Research data archiving → CD-/DVD-ROMs, Most, Registry, Research, Research Data Repositories, The, Whether Another extracted example is Research data archiving → long-term storage of scholarly research data. Use these groups to spot repeated connection types before inspecting the individual relationships.

Research data archiving

Top relations

related to Data library · 7
Research data archiving → CD-/DVD-ROMs, Most, Registry, Research, Research Data Repositories, The, Whether
is a · 1
Research data archiving → long-term storage of scholarly research data

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data archiving archived research science authors archive information public policy archives datasets social dryad available researchers repository must paper library

Research data archiving relationships Subject–Predicate–Object triples

TTTA extracted 18 structured relationships around Research data archiving. Examples in this analysis include Research data archiving → is a → long-term storage of scholarly research data and Dryad → instance of → that the data supporting the results in the paper and metadata describing them must be archived in an appropriate public archive. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Research data archivingis along-term storage of scholarly research data0.90text
Dryadinstance ofthat the data supporting the results in the paper and metadata describing them must be archived in an appropriate public archive0.80text
Figshareinstance ofthat the data supporting the results in the paper and metadata describing them must be archived in an appropriate public archive0.80text
GenBankinstance ofthat the data supporting the results in the paper and metadata describing them must be archived in an appropriate public archive0.80text
TreeBASEinstance ofthat the data supporting the results in the paper and metadata describing them must be archived in an appropriate public archive0.80text
or NCBIinstance ofthat the data supporting the results in the paper and metadata describing them must be archived in an appropriate public archive0.80text
human subject data or the location of endangered speciesinstance ofespecially for sensitive information0.80text
Dryadinstance ofauthors should deposit their datasets in a general repository0.80text
the Archaeology Data Serviceinstance ofThe policy recommends that data are deposited in a repository0.80text
the Digital Archaeological Recordinstance ofThe policy recommends that data are deposited in a repository0.80text
or PANGAEAinstance ofThe policy recommends that data are deposited in a repository0.80text
Research data archivingrelated to Data libraryResearch0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Research data archiving bring nearby vocabulary together. In this analysis, examples include Science, Libraries and Sciences. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Research data archiving
    • Science
    • Libraries
    • Sciences
    • Social
    • Archiving
    • Data
    • Authors
    • Published
    • Use
    • Research
    • Library
    • Public
  • research data archiving
    • Science
    • Libraries
    • Sciences
    • Archive
    • Social
    • Archiving
    • Data
    • Authors
    • Archives
    • Published
    • Use
    • Archived
  • data
    • Archive
    • Archiving
    • Authors
    • Archives
    • Archived
    • Research
    • Public
    • Science
    • Social
    • Policy
    • Repository
    • Information
  • information technology
    • Technology
    • May
    • Social
    • Large
    • Paper
    • Researchers
    • Users
    • Repository
    • Years
    • Public
    • Science
    • Methods
  • share supplemental data
    • Archive
    • Archiving
    • Authors
    • Archives
    • Archived
    • Research
    • Public
    • Science
    • Social
    • Policy
    • Repository
    • Information
  • protein data bank
    • Archive
    • Archiving
    • Authors
    • Archives
    • Archived
    • Research
    • Public
    • Science
    • Social
    • Policy
    • Repository
    • Information
  • journal of archaeological science
    • Social
    • Sciences
    • Nature
    • Public
    • Dryad
    • Publication
    • Published
    • Policy
    • Science
    • National
    • Repository
    • Must
  • archaeology data service
    • Archive
    • Archiving
    • Authors
    • Archives
    • Archived
    • Research
    • Public
    • Science
    • Social
    • Policy
    • Repository
    • Information

Connections between topic areas Semantic bridges

For Research data archiving, one of the stronger structural bridges in this analysis connects Research data archiving with Selected policies by journals. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Research data archiving — Selected policies by journals · splits 39 ⟂ 18
Research data archiving — Examples of data libraries · splits 45 ⟂ 12
Research data archiving — Overview · splits 47 ⟂ 10
Research data archiving — Data library · splits 48 ⟂ 9
Research data archiving — Policies by funding agencies · splits 50 ⟂ 7

Map overview Semantic statistics

Research data archiving

Nodes57
Edges56
Triples18
Avg. degree1.96
Density0.035088
Components1

Source & methodology

TTTA analyzes the structure around Research data archiving to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Science & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Research data archiving · EN edition · Analysis: TopicsToTalkAbout

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