FAIRsFAIR is looking to assess the skills, practices, services and policies required to make  research data Findable, Accessible, Interoperable and Reusable. Between March and November 2019 FAIRsFAIR run three surveys on FAIR policies and practices, semantics and interoperability and research data and FAIR principles  to assess the current landscape and to develop recommendations to enable and promote FAIR policies and practices.



SURVEY 1: FAIR POLICIES AND PRACTICES - the survey is now closed

The purpose of this survey was to assess:

  • The different levels of maturity with regards to FAIR practices among disciplines.
  • The range of policies that influence the way that researchers work.
  • The sources of support currently available to researchers.

Input were collected from a wide range of research support roles including repository managers, research data managers, policy makers, service providers, and data stewards. 


SURVEY 2: SEMANTICS AND INTEROPERABILITY - the survey is now closed

This survey was targeted at those in technical service support roles such as data scientists, data stewards, architects, and developers. The purpose was  to know which formats, semantic artefacts, identifiers and software practices are used in the scientific community these stakeholders work with. 


SURVEY 3: RESEARCH DATA AND FAIR DATA PRINCIPLES - the survey is now closed

The European Universities Association (EUA), as part of the FAIRsFAIR project, launched a survey, specifically aimed at the state of FAIR data at universities and higher education institutions, and focused on the availability and emergence of educational programmes relating to the FAIR principles.
This survey was targeted at university leadership or management staff, responsible for the development and implementation of research data management policies and plans. Universities that do not yet have such a plan are also encouraged to participate in the sections relevant to them.

The purpose of this survey was to address the following dimensions of research data management and the FAIR principles at higher education institutions:

  • the state and nature of institutional policies and support services for research data management;
  • the awareness of the FAIR principles for research data within universities;
  • the teaching of research data competences to students and researchers;
  • the level of awareness of and views on the European Open Science Cloud (EOSC). 


The anonymised survey data were made available from a trusted repository for reuse and the links will also be provided here. FAIRsFAIR has been working in cooperation with several related initiatives including the EOSC 5B projects, the Group of European Data Experts in RDA (GEDE) the EOSC FAIR Working Group to avoid duplication of effort in our information collection. 
 


The findings of these surveys and the related landscape assessment activities are now available in the first FAIRsFAIR landscape analysis deliverables published and available for download and comment at this page