Explore: Fair Data

Discover books, insights, and more — all in one place.

Learn more about Fair Data with top reads curated from trusted sources — all in one place.

Topic Search

Search for any topic

AI-Generated Overview About “fair-data”:


Books Results

Source: The Open Library

The Open Library Search Results

Search results from The Open Library

1Data Stewardship for Open Science

By

“Data Stewardship for Open Science” Metadata:

  • Title: ➤  Data Stewardship for Open Science
  • Author:
  • Language: English
  • Number of Pages: Median: 226
  • Publisher: Taylor & Francis Group
  • Publish Date:

“Data Stewardship for Open Science” Subjects and Themes:

Edition Identifiers:

Access and General Info:

  • First Year Published: 2018
  • Is Full Text Available: No
  • Is The Book Public: No
  • Access Status: No_ebook

Online Marketplaces

Find Data Stewardship for Open Science at online marketplaces:



Wiki

Source: Wikipedia

Wikipedia Results

Search Results from Wikipedia

FAIR data

FAIR data is data which meets the FAIR principles of findability, accessibility, interoperability, and reusability (FAIR). The acronym and principles were

Data

Dark data Data (computer science) Data acquisition Data analysis Data bank Data cable Data curation Data domain Data element Data farming Data governance

Open data

abbreviation FAIR/O data is sometimes used to indicate that the dataset or database in question complies with the principles of FAIR data and carries an

Data cap

exceeding a data cap would require the subscriber to pay additional fees. Implementation of a data cap is sometimes termed a fair access policy, fair usage

Fair (disambiguation)

measuring information risks by the company Risk Management Insight FAIR data, data which meet standards of findability, accessibility, interoperability

Fair use

Fair use is a doctrine in United States law that permits limited use of copyrighted material without having to first acquire permission from the copyright

Barend Mons

Barend Mons (born 1957, The Hague) is a molecular biologist and a FAIR data specialist. The first decade of his scientific career he spent on fundamental

FICO

FICO (legal name: Fair Isaac Corporation), originally Fair, Isaac and Company, is an American data analytics company based in Bozeman, Montana, focused

Metadata

metadata for all experimental data is the foundation of the FAIR Guiding Principles, or the standards for ensuring research data are findable, accessible,

AnIML

sharing any analytical chemistry and biological data. A main reason of using AnIML is that FAIR data (Findable, Accessible, Interoperable and Reusable)