• Six quick tips to start making your data FAIR🔍
• How FAIR data enables searches to power your research and LLMs🔍
• Make your data FAIR in 10 easy steps!🔍
• How to make your data FAIR🔍
• Ten quick tips for building FAIR workflows🔍
• Making your data FAIR with Mendeley Data🔍
• Make your research data more FAIR🔍
• FAIR Principles – Key Take Away Messages for Researchers🔍

Six quick tips to start making your data FAIR | The Hyve

Follow the best practices for data management and want to make your data FAIR. Where do you start? With these six quick and easy tips you can start your FAIR ...

How FAIR data enables searches to power your research and LLMs

In our previous articles, we explored the steps required to make data FAIR—Findable, Accessible, Interoperable, and Reusable.

Make your data FAIR in 10 easy steps! - FAIRsFAIR

This video guide takes you through the process of using the FAIR-Aware tool. FAIR-Aware (https://fairaware.dans.knaw.nl/) is a tool which helps researchers ...

LibGuides: Managing Your Data: FAIR principles

Managing Your Data · Findable. The first step in (re)using data is to find them. · Accessible. Once the user finds the required data, she/he/they ...

How to make your data FAIR - OpenAIRE

The Four Basics of FAIR: ; 'Accessible', i.e. always available and obtainable; even if the data is restricted, the metadata is open ; 'Interoperable', i.e. both ...

Ten quick tips for building FAIR workflows - PMC - NCBI

The FAIR (Findable, Accesible, Interoperable and Reusable) principles provide practical guidelines for maximizing the value of research data; ...

Making your data FAIR with Mendeley Data

The FAIR Data Principles were published in 2016, and now represent the gold standard for data sharing and re-use. One of the six main recommendations from the ...

Make your research data more FAIR

This page will show you how to make your research data FAIR by taking you through six FAIRification practices: Documentation, Formats, Metadata, Access, ...

FAIR Principles – Key Take Away Messages for Researchers - SciNote

FAIR data starts with FINDABLE ... Findable means that it should be easy for people and computers to find the data related to your published research. It applies ...

Making Data FAIR

Another aspect that can make a dataset more findable is rich, machine readable metadata that describes the dataset and is used to index datasets ...

FAIRify your data: A guiding principle - BioStrand Blog

When we create a large volume of data and a variety of data types, we experience data management difficulties in large-scale projects. This re- ...

FAIR Data Self-Assessment Tool | ARDC

This includes assigning a persistent identifier (e.g. DOI, Handle), having rich metadata to describe the data, and making sure it is findable ...

Everything you need to know about making research data open and ...

Keep it FAIR · Make data retrievable by their identifier using a standardized communications protocol · Keep metadata accessible, even when data ...

Open/FAIR data - Open Science

Research data should fulfill the FAIR principles. These principles describe how data should be processed to make it Findable, Accessible, Interoperable and ...

Data Integrity and FAIR Principles - FAQ - BioSistemika

To avoid this, we recommend using dedicated (laboratory) software, which can support the FAIR principles described above. However, it is important to keep in ...

7 Ways to Build a Fairer, Data-Informed Culture - YouTube

Here are 7 ways that you can promote fairness and efficiency in an analytics-based environment. This is a video version of my article, ...

Take Your Data Strategy to the Next Level With FAIR Analytics

Analytics is at the heart of business decision-making. However ... easy retrieval of data from its storage location. Interoperable ...

Sharing your data - Research Data Management |

This will make sharing your data relatively easy when the time comes ... Six steps to FAIR dataLink to the data, What the researcher needs to doObtain ...

2. The FAIR Principles and Research Data Management

Developed by a data services network in Europe, this is a simple one-page checklist based on the FAIR guiding principles with small modifications that make the ...

What is FAIR?

But there are different activities you must consider within your research workflows, if you want to make your data FAIR. For instance: documenting your data, ...