Publishers and journals are more and more requiring datasets to be deposited and made accessible via repositories. However, with thousands of options available, choosing a data repository is becoming extremely difficult. FAIRsharing, DataCite and a group of publishers have joined forces to propose a set of 7 essential criteria and 11 desirable criteria that journals… Lire la suite How to choose a data repository? A list of criteria to help you
Étiquette : Principes FAIR
Data papers: an emerging form of publication which contributes to the compliance with FAIR principles
Data papers contribute to the compliance with FAIR principles, in particular to the two principles of findability and reusability, insofar they help people (and machines) finding datasets and inform about the provenance and reuse rights. This is one of the results of the survey on data papers presented by Schöpfel et al. in their conference… Lire la suite Data papers: an emerging form of publication which contributes to the compliance with FAIR principles
What role do electronic lab notebooks play in the context of research data management and open science?
Electronic lab notebooks (ELN) are not simply the digital equivalent of paper notebooks. They have many more advantages, especially in the context of open science. For example, ELN help meeting the FAIR principles (Findable, Accessible, Interoperable, Re-usable): By making a direct link to data that are already available digitally ; By aiding the documentation of… Lire la suite What role do electronic lab notebooks play in the context of research data management and open science?
FAIRness of repositories and their data
LIBER’s Research Data Management Working Group carried out two data repositories surveys. The responses for both questionnaires have been merged and analyzed to gain a comprehensive picture about FAIRness at the level of repositories and their data. The report, which can be downloaded from Zenodo, summarises the answers given by managers, librarians and technical staff… Lire la suite FAIRness of repositories and their data
Three camps, one destination: the intersections of research data management, FAIR and Open
The journal Insights has just published a very informative article on how to distinguish FAIR principles (Findable, Accessible, Interoperable, Reusable), Open Data and Research Data Management (RDM) practices. A good synthesis to clarify your ideas. Abstract: Open data, FAIR (findable, accessible, interoperable and reusable) and research data management (RDM) are three overlapping but distinct concepts,… Lire la suite Three camps, one destination: the intersections of research data management, FAIR and Open
The FAIR self-assessment tool: a tool to assess the ‘FAIRness’ of a dataset
How to know if my dataset is FAIR (Findable, Accessible, Interoperable, Reusable)? The Australian Research Data Commons (ARDC) provides you with a FAIR self-assessment tool. Using this tool you will be able to assess the 'FAIRness' of a dataset and determine how to enhance its FAIRness (where applicable). You will be asked questions related to… Lire la suite The FAIR self-assessment tool: a tool to assess the ‘FAIRness’ of a dataset
FAIRsFAIR: a new H2020 project about FAIR principles
The FAIRsFAIR project started on March 1st, 2019 and addresses, in a 36 months timeplan, the development and concrete realisation of an overall knowledge infrastructure on academic quality data management, procedures, standards, metrics and related matters, based on the FAIR principles. FAIRsFAIR aims to supply practical solutions for the use of the FAIR data principles… Lire la suite FAIRsFAIR: a new H2020 project about FAIR principles
Cost-benefit analysis for FAIR research data: EU policy recommendations
FAIR research data encompasses the way to create, store and publish research data in a way that they are findable, accessible, interoperable and reusable. In order to be FAIR, research data published should meet certain criteria described by the FAIR principles. Despite this, many research performing organisations and infrastructures are still reluctant to apply the… Lire la suite Cost-benefit analysis for FAIR research data: EU policy recommendations
EU publication: Cost of not having FAIR research data
FAIR principles originated from the current patchy data management practices in EU, which are not optimal yet. Several local initiatives, as well as global ones, are making the move towards an infrastructure supporting the FAIR principles in order to get the most of research data. This report aims to estimate the cost of not having… Lire la suite EU publication: Cost of not having FAIR research data
« A love letter to your future self »: What scientists need to know about FAIR data
Is FAIR the same as open data? What exactly is metadata? Why does FAIR data need a license? Why do we need data standards? Where should FAIR data be stored? What’s in it for researchers? Two research data specialists answer these questions in this article: Kate LeMay, senior research data specialist at the Australian Research… Lire la suite « A love letter to your future self »: What scientists need to know about FAIR data