In this area you'll find FAIR-IMPACT documents open for community review.
Guidelines for recommended metadata standard for research software within EOSC - D4.4
Software plays a crucial role in academic research, not only as a tool for data analysis but also as a research outcome or result, or even the object of research itself (EOSC Executive Board & EOSC Secretariat, 2020). Therefore, in an Open Science ecosystem, software should receive the same level of attention and recognition as publications and datasets. However, the lack of standardized guidelines and best practices for software development and curation has resulted in challenges for researchers, developers, and other stakeholders in finding, reusing, and reproducing research software.
The FAIR-IMPACT Guidelines for recommended metadata standards for research software within the EOSC aim to: (1) create a cohesive and standardized approach to metadata collection and curation that benefits all stakeholders involved ; (2) help the target audience identifying key requirements and best practices that can improve the quality and reproducibility of their research software. To do so, the approach is to compare, test and collect feedback on the already existing practices in the software development communities and in the scholarly ecosystem.
The EOSC community and metadata specialists are invited to provide feedback to the draft, working version of this deliverable.
Provide your feedback on the document
Implementing metrics for automated FAIR digital objects assessment in a disciplinary context - D5.1
FAIR-IMPACT aims to realise a FAIR EOSC using proven solutions, tools and methods developed during the FAIRsFAIR and other initiatives. One of the goals of the project is to enable the ‘FAIRification’ of different research objects such as datasets, software and semantic artefacts originating from a large range of scientific disciplines. This includes the provision and extension of FAIR assessment metrics and associated tools and their adoption to the needs and requirements of a variety of research communities. In particular FAIRsFAIR data object assessment metrics as well as the F-UJI tool are intended to become more disciplinary-context aware and to include more discipline-specific tests in cooperation with FAIR-IMPACT use case partners, domain data repositories, research infrastructures and e-infrastructures.
This deliverable provides the first set of discipline specific tests and metrics developed in cooperation with FAIR-IMPACT Social Sciences and Humanities (SSH) use case partners. We present an analysis of SSH community FAIR-aligned habits and practices carried out using available literature and whitepapers, data collected using standard interfaces provided by the community, as well as FAIR Implementation Profiles (FIPs) from a number of SSH data repositories. Based on this analysis we identified an appropriate SSH sub-community, the social sciences, for which we defined a set of discipline specific metrics and tests derived from the FAIRsFAIR data assessment metrics which are also presented in this deliverable.
Read the report on 
Provide your feedback on the document
Targeted landscape analysis report - D2.1
FAIR-IMPACT aims to support the implementation phase of the European Open Science Cloud by helping Research Performing Organisations (RPOs), repositories, data and metadata service providers (including persistent identifier services and semantic services) and national level initiatives to adopt FAIR-enabling practices, tools and services. To this end, FAIR-IMPACT is conducting a targeted landscape analysis to identify viable tools, methods and solutions that have been produced by the recent H2020 INFRAEOSC FAIR-related projects and that are currently available to support FAIR Implementation in a practical sense. The resulting FAIR Implementation Framework (FIF) catalogue of resources will be made accessible via the FAIR-IMPACT website to enable others to find, assess and adopt them. The FAIR implementation framework will be instrumental for delivery of in-kind support to RPOs, repositories and data service providers, and national level initiatives, but the framework will also be openly available to support adoption by a wider range of stakeholders across Europe and globally. The framework will be updated periodically to ensure that emerging approaches, tools and resources such as those resulting from ongoing related projects and initiatives are included.
This report outlines the approach adopted for the landscape analysis, a summary of the projects and initiatives reviewed, and next steps in developing the FAIR Implementation Framework. We welcome your feedback on the deliverable and in particular on the template we used to describe the candidate resources and the proposed structure for the FAIR Implementation Framework. Feedback can be sent to joy.davidson@glasgow.ac.uk.
A list of resources identified during the review is included as an annex. We also welcome suggestions for additional resources that you feel should be considered for inclusion in the catalogue of resources. These can be submitted using the dedicated webform.
Read the report on 
Contribute to list of FAIR resources
Project Handbook - D1.1
The Project Handbook provides guidelines for the members of the FAIR-IMPACT consortium and records internal project procedures. It covers the most important aspects of the project including the management structures, project reporting, working practices, and risk management. Some of these aspects are only touched upon in this document, as they are or will be laid out more formally in the Grant Agreement, Consortium Agreement, and the Data Management Plan. The first version of the Handbook is released as the deliverable D1.1 for reference, and it will be revised as needed and as procedures evolve in the course of the project. The Handbook does not contain guidelines on data protection and ethical issues, as these are laid out in detail in the Data Management Plan (D1.2).