Synopsis of Social media discussions

The discussions reflect overall approval and enthusiasm for the framework, with posts highlighting its applicability across domains and mentioning resources like the FAIR Cookbook. The tone is informative and appreciative, citing specific projects and papers that demonstrate interest and acknowledgment of the framework’s importance, which signals a positive outlook on its potential impact.

A
Agreement
Moderate agreement

Most discussions positively acknowledge the framework, emphasizing its importance and broad applicability, indicating general agreement with the article's significance.

I
Interest
High level of interest

Posts show high curiosity and appreciation for the resource, suggesting strong interest in learning more about FAIRification techniques.

E
Engagement
Moderate level of engagement

While some discussions include references to related work and ongoing projects, many comments remain surface-level, indicating moderate but not deep engagement.

I
Impact
Moderate level of impact

The ongoing collaborations and references to the framework's potential influence in data management suggest a recognition of its moderate yet meaningful impact.

Social Mentions

YouTube

1 Videos

Twitter

16 Posts

Metrics

Video Views

23

Total Likes

22

Extended Reach

48,467

Social Features

17

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Framework for Effective FAIR Data Implementation in Scientific Research

Framework for Effective FAIR Data Implementation in Scientific Research

The COVID-19 pandemic emphasized the importance of making data Findable, Accessible, Interoperable, and Reusable (FAIR), especially for scientific research. A flexible, multi-level framework was developed to guide FAIRification across various domains and datasets, enhancing data quality and usability.

August 25, 2023

23 views


  • Susan Gregurick
    @SGregurick (Twitter)

    RT @SusannaASansone: #ELIXIR23 excellent work to define a generic #FAIRification framework, from @IHIEurope @fairplus project; even if the…
    view full post

    June 7, 2023

    8

  • Jason "boundless delight " Williams
    @JasonWilliamsNY (Twitter)

    RT @SusannaASansone: #ELIXIR23 excellent work to define a generic #FAIRification framework, from @IHIEurope @fairplus project; even if the…
    view full post

    June 6, 2023

    8

  • Rafa Avila
    @rafavilwebsoc (Twitter)

    RT @Milanes_guisado: Dos pendientes de lectura en Nature Springer Scientific Data by Phillipe Roca - "The FAIR Cookbook - the essential res…
    view full post

    June 6, 2023

    2

  • @vic_bioinfo@genomic.social
    @Vic_Bioinfo (Twitter)

    RT @SusannaASansone: #ELIXIR23 excellent work to define a generic #FAIRification framework, from @IHIEurope @fairplus project; even if the…
    view full post

    June 6, 2023

    8

  • Dr Gabriela López – González
    @GabyBelicosa (Twitter)

    RT @SusannaASansone: #ELIXIR23 excellent work to define a generic #FAIRification framework, from @IHIEurope @fairplus project; even if the…
    view full post

    June 6, 2023

    8

  • UK Research Integrity Office
    @UKRIO (Twitter)

    RT @SusannaASansone: #ELIXIR23 excellent work to define a generic #FAIRification framework, from @IHIEurope @fairplus project; even if the…
    view full post

    June 6, 2023

    8

  • Pierre Poulain
    @pierrepo (Twitter)

    RT @SusannaASansone: #ELIXIR23 excellent work to define a generic #FAIRification framework, from @IHIEurope @fairplus project; even if the…
    view full post

    June 6, 2023

    8

  • Scientific Data
    @ScientificData (Twitter)

    RT @SusannaASansone: #ELIXIR23 excellent work to define a generic #FAIRification framework, from @IHIEurope @fairplus project; even if the…
    view full post

    June 6, 2023

    8

  • Dani Welter
    @daniwelter (Twitter)

    RT @SusannaASansone: #ELIXIR23 excellent work to define a generic #FAIRification framework, from @IHIEurope @fairplus project; even if the…
    view full post

    June 6, 2023

    8

  • FAIRlady
    @SusannaASansone (Twitter)

    #ELIXIR23 excellent work to define a generic #FAIRification framework, from @IHIEurope @fairplus project; even if the project has ended the work lives now in the @ELIXIREurope Interoperability Platform! Read more in our @ScientificData paper ➡️ https://t.co/xayWrTN3Qr https://t.co/rVQBsFtzIF https://t.co/zLxkZ0I5Sc
    view full post

    June 6, 2023

    16

    8

  • @parkvillegeek
    @ParkvilleGeek (Twitter)

    FAIR in action - a flexible framework to guide FAIRification | Scientific Data https://t.co/O3KCcqlSAR
    view full post

    June 6, 2023

    1

  • Alicia Garcia-Garcia
    @AlicjaGarcia (Twitter)

    RT @Milanes_guisado: Dos pendientes de lectura en Nature Springer Scientific Data by Phillipe Roca - "The FAIR Cookbook - the essential res…
    view full post

    June 5, 2023

    2

  • Yusnelkis
    @Milanes_guisado (Twitter)

    Dos pendientes de lectura en Nature Springer Scientific Data by Phillipe Roca - "The FAIR Cookbook - the essential resource for and by FAIR doers (https://t.co/eGm8eUk5xG) " and - "FAIR in action - a flexible framework to guide FAIRification https://t.co/DnkvTe3Utv #fairdata
    view full post

    June 3, 2023

    3

    2

  • Rachel
    @rachelchonge (Twitter)

    RT @StigmabaseN: TW : FAIR in action - a flexible framework to guide FAIRification | Scientific Data: ...Edinburgh, EH14 4AS, Scotland, UK…
    view full post

    May 22, 2023

    1

  • Stigmabase | NORTH
    @StigmabaseN (Twitter)

    TW : FAIR in action - a flexible framework to guide FAIRification | Scientific Data: ...Edinburgh, EH14 4AS, Scotland, UKAlasdair J. G. GrayOntario Institute for Cancer Research MaRS Centre, 661 University... https://t.co/VC1ALvTBjB https://t.co/X3hEK3ZVeS
    view full post

    May 22, 2023

    1

    1

  • BiGCaT Maastricht
    @bigcat_UM (Twitter)

    new paper: "FAIR in action - a flexible framework to guide FAIRification" https://t.co/7inW31NBRa https://t.co/ddcfDcEwOg
    view full post

    May 19, 2023

    1

Abstract Synopsis

  • The COVID-19 pandemic emphasized the importance of making data Findable, Accessible, Interoperable, and Reusable (FAIR), especially for scientific research.
  • A flexible, multi-level framework was developed to guide the process of FAIRification, applicable across different domains and datasets, both current and future.
  • The framework was tested through collaborations with major public-private projects, proving its effectiveness and broad applicability in improving the FAIR qualities of various clinical and molecular data.