LogoLogo
  • What is LABDRIVE
  • Concepts
    • Architecture and overview
    • Organize your content
    • OAIS and ISO 16363
      • Understanding OAIS and ISO 16363
      • LABDRIVE support for OAIS Conformance
      • Benefits of preserving research data
      • Planning for preservation
      • ISO 16363 certification guide
      • LABDRIVE support for FAIRness
  • Get started
    • Create a data container
    • Upload content
    • Download content
    • Introduction to metadata
    • Search
    • File versioning and recovery
    • Work with data containers
    • Functions
    • Storage mode transitions
    • Jupyter Notebooks
  • Configuration
    • Archive organization
    • Container templates
    • Configure metadata
    • Users and Permissions
    • Running on premises
  • DATA CURATION AND PRESERVATION
    • Introduction
    • Information Lifecycles
    • Collecting Information needed for Re-Use and Preservation
    • Planning and Using Additional Information in LABDRIVE
    • How to deal with Additional Information
      • Representation Information
      • Provenance Information
      • Context Information
      • Reference Information
      • Descriptive Information
      • Packaging Information
      • Definition of the Designated Community(ies)
      • Preservation Objectives
      • Transformational Information Properties
    • Preservation Activities
      • Adding Representation Information
        • Semantic Representation Information
        • Structural Representation Information
        • Other Representation Information
          • Software as part of the RIN
            • Preserving simple software
              • Jupyter Notebooks as Other RepInfo
            • Preserving complex software
              • Emulation/Virtualisation
                • Virtual machines as Other RepInfo
                • Docker and other containers as Other RepInfo
              • Use of ReproZip
      • Transforming the Digital Object
      • Handing over to another archive
    • Reproducing research
    • Exploiting preserved information
  • DEVELOPER'S GUIDE
    • Introduction
    • Functions
    • Scripting
    • API Extended documentation
  • COOKBOOK
    • LABDRIVE Functions gallery
    • AWS CLI with LABDRIVE
    • Using S3 Browser
    • Using FileZilla Pro
    • Getting your S3 bucket name
    • Getting your S3 storage credentials
    • Advanced API File Search
    • Tips for faster uploads
    • File naming recommendations
    • Configuring Azure SAML-based authentication
    • Exporting OAIS AIP Packages
  • File Browser
    • Supported formats for preview
    • Known issues and limitations
  • Changelog and Release Notes
Powered by GitBook
On this page

Was this helpful?

  1. DATA CURATION AND PRESERVATION

Exploiting preserved information

This page discusses various ways in which LABDRIVE supports the exploitation of preserved information.

PreviousReproducing researchNextIntroduction

Last updated 2 years ago

Was this helpful?

Data is valuable, as illustrated by the quote: - but gold is valuable because it is rare and does not combine (rust), whereas information is plentiful and is more valuable when combined. Howver it would be more accurate to say "" since "data" is just the bits whereas one needs bits plus "metadata" i.e. information.

Combining different sets of information whether new or old or from different domains produces new, and if done well, more valuable information. However take the , if one does not know the units and meanings associated with the numbers in the columns then it will not be possible to combine the information in the two spreadsheets in a sensible way. For example it would make no sense to add two lengths together if one had the units of miles and the other had the units of cm.

In Astronomy, combining information from from images taken at different wavelengths produces new information which allows one to calculate temperatures and suppgest physical processes. For example the following shows the false color image of the Crab Nebula created by combining image from radio, infrared, visible and X-ray wavelength ranges.

Scientific software tools in all disciplines process and combine information.

Texts which have information encoded within may be combined in many ways including:

  • by a human brain, as long as the human can understand the text i.e. the language, typographical conventions and special terminology.

There are for combining data, sometimes referred to as data merging. Some are open source, others are proprietary, some run locally, others run on the cloud.

with computers, by treating text as data, with ;

many tools
text analysis
data is the new gold
Information is the new gold
simple example of two spreadsheets
image