FAIRPoints-FAIRPoints ‘Ask me Anything’ (AMA) – SciLifeLab

“This event is part of a series of “Ask Me Anything”-style events featuring keynote speakers from the RDA, and EOSC groups focused on RDA activities and EOSC solutions in relation to FAIR implementation and Open practices in Science.”

Optimising (RDA) Open Science Frameworks and Guidelines in the context of EOSC – Round 2 | EOSC Future Funding Platform

“This call invites applications from research groups, including the RDA groups, to demonstrate how RDA-developed data sharing concepts and solutions can be reused, optimised and implemented in the EOSC context, particularly in the context of the European Open Science Cloud (EOSC) Portal Catalogue and Marketplace. EOSC is building a federated infrastructure to support Europe’s data output and works to enable the discovery and re-use of FAIR research data. In this context RDA plays a key role to underpin new and existing pathways to sharing research data. Many specifications already exist in RDA for data sharing and these can be refined and further developed via this call.

A wide range of activities – including promotional, analysis and technical documentation activities – can be funded through this call (described in more detail in section “What types of activities can be funded?”)

RDA provides an open forum where solutions are discussed and experiences are shared via its global community. EOSC is a new concept for many research communities and work still needs to be done to understand and enable data  sharing and re-use across the research lifecycle, by making content FAIR and discoverable via a federated system such as EOSC. RDA is running a series of calls, as part of the EOSC Future project, to further enable integration and take up of EOSC services. The purpose of these RDA Open Calls is to engage the data sharing community from a bottom up approach to contribute their know-how to EOSC. This call specifically targets small projects to show implementation and take-up of existing outputs and specifications, specifically those that the RDA community has enabled. The call aims to support and encourage  adoption of existing RDA outputs and recommendations which can benefit the community around EOSC and to promote new examples and lessons learnt. See a list of currently funded RDA/EOSC Future Open Call projects here….”

Decision making procedures in data management and data stewardship for Open Science | Zenodo

Abstract:  The Research Data Alliance (RDA) is a global organisation with over 12,900 members from148 countries, and is built on principles that include openness, inclusivity and transparency. The RDA was launched as a community-driven initiative in 2013 by the European Commission, the United States Government’s National Science Foundation and National Institute of Standards and Technology, and the Australian Government’s Department of Innovation with the goal of building the social and technical infrastructure to enable open sharing and re-use of data.

The RDA has a grass-roots, inclusive approach covering all data lifecycle stages, engaging data producers, users and stewards, addressing data exchange, processing, and storage. It has succeeded in creating the neutral social platform where international research data experts meet to exchange views and to agree on topics including social hurdles on data sharing, education and training challenges, data management plans and certification of data repositories, disciplinary and interdisciplinary interoperability, as well as technological aspects.

The RDA Foundation provides the core business operations of RDA and represents RDA globally.

WorldFAIR Project (D2.1) ‘FAIR Implementation Profiles (FIPs) in WorldFAIR: What Have We Learnt?’ | Zenodo

“Report on the completed FAIR Implementation Profiles completed by project Case Studies in 2022.  Project Deliverable D2.1 for EC WIDERA-funded project “WorldFAIR: Global cooperation on FAIR data policy and practice”.

This report gives a brief overview of the experience of the WorldFAIR project in using FAIR Implementation Profiles (FIPs).  It describes the WorldFAIR project, its objectives and its rich set of Case Studies; and it introduces FIPs as a methodology for listing the FAIR implementation decisions made by a given community of practice. Subsequently, the report gives an overview of the initial feedback and findings from the Case Studies, and considers a number of issues and points of discussion that emerged from this exercise. Finally, and most importantly, we describe how we think the experience of using FIPs will assist each Case Study in its work to implement FAIR, and will assist the project as a whole in the development of two key outputs: the Cross-Domain Interoperability Framework (CDIF), and domain-sensitive recommendations for FAIR assessment.

We hope this report will be of interest to data experts who want to find out more about the WorldFAIR project, its remarkable and diverse array of Case Studies, and about FIPs.  It is important to stress that this report does not set out to give a comprehensive appraisal of the FIPs approach and could not do so.  All the WorldFAIR Case Studies have developed an initial FIP, but the process of reflection on practice will continue throughout the project.  Each Case Study will complete at least one further FIP, and in some cases more than one, towards the end of the project and this will enrich our understanding of the utility of the approach.  At that stage, we intend to be able to incorporate some robust prospective and aspirational considerations, and we need to consider how best to represent this in the FIPs.

As noted above, the final section of this report looks forward to the development of the Cross-Domain Interoperability Framework (CDIF), and domain-sensitive recommendations for FAIR assessment….”

New report on value and utility of FAIR Implementation Profiles (FIPs) available from the WorldFAIR project – CODATA, The Committee on Data for Science and Technology

“In the WorldFAIR project, CODATA (the Committee on Data of the International Science Council), with the RDA (Research Data Alliance) Association as a major partner, is working with a set of eleven disciplinary and cross-disciplinary case studies to advance implementation of the FAIR principles and, in particular, to improve interoperability and reusability of digital research objects, including data. 

To that end, the WorldFAIR project created a range of FAIR Implementation Profiles (FIPs) between July and October 2022 to better understand current FAIR data-related practices.  The report, ‘FAIR Implementation Profiles (FIPs) in WorldFAIR: What Have We Learnt?’, is published this week and available at https://doi.org/10.5281/zenodo.7378109.  …”

RDA- SHARC Open Science survey

“The goal of this survey is to identify perceptions and expectations of various research communities regarding how Open Science activities are (or should be) taken into consideration and rewarded. The results will help elaborating future recommendations towards various stakeholder groups involved in research evaluation.

This survey is being conducted as part of the SHAring Rewards & Credit (SHARC) interest group within Research Data Alliance (RDA)….”

‘A Decade of Data’: Celebrating 10 Years of the Research Data Alliance | RDA

“In 2023 the Research Data Alliance will celebrate its 10th Anniversary. We’re excited to commemorate this important milestone with our community by organising a series of international and regional events and activities that meet the following objectives:

1. To reflect on the past, present and future of the RDA

2. To reinforce our mission, vision and guiding principles

3. To recognise our community members, partners and funders

4. To celebrate the community’s successes with the wider research data community. …”

RDA Open Call for cross disciplinary science adoption grants #2 | EOSC Future Funding Platform

“This call invites research groups from different or across disciplines who wish to share their data, have it combined with other data and make it more visible by using the services of the EOSC portal. Work under this call should improve the understanding of the requirements per discipline with regards to cross-disciplinary FAIR data sharing and (re)use, by leveraging RDA standards, outputs and recommendations.

Outcomes should ideally demonstrate one or two of the following:

How research disciplines or cross-disciplinary collaborations have leveraged an RDA standard or recommendation in managing and sharing research data.
Publish a detailed overview of the challenges to sharing data within a discipline, suggested solutions and requirements.
Demonstrate use of discipline-specific metadata standards and how to make research data FAIR within a certain discipline or across disciplines.
Pilot sharing of research data across disciplines and the needed metadata standards, highlighting interoperability issues.
Integration of research data into existing data catalogues and subsequent integration into the EOSC portal….”

Let us create a globally inclusive dialogue on Open Science Hardware (OSH) standards – AfricArXiv

“Hardware is a vital part of experiments process and advances in instrumentation have been central to scientific revolutions by expanding observations beyond standard human senses.” But making hardware and especially sharing hardware is neither an easy nor a recognized task in academia. In order to tackle this issue, some of us started a Research Data Alliance (RDA) interest group. The RDA is a social platform where international research data experts meet to exchange views and to agree on topical issues. We think the RDA label will bring our work the credibility needed to develop and push our ideas about Research hardware recognition in the scholarly communication ecosystem. On the other hand, we would like to avoid the pitfall of creating a system that would nurture inequalities, and one of our objectives is therefore to grow and diversify the group members and chairs. Here is therefore a call for participation, it is particularly but not uniquely addressed to researchers from low-income countries.

Data Repository Attributes WG Case Statement | RDA

“A complete and current description of a research data repository is important to help a user discover a repository; to understand the repository’s purpose, policies, functionality, and other characteristics; and to evaluate the fitness for their use of the repository and the data that it stewards. Many repositories do not provide adequate descriptions in their websites, structured metadata, and documentation, which can make this challenging. Descriptive attributes may be expressed and exposed in different ways, making it difficult to compare repositories and to enable interoperability among repositories and other infrastructures such as registries. Incomplete and proprietary repository descriptions present challenges for stakeholders such as researchers, repository managers, repository developers, publishers, funders, and registries to enable the discovery and comparison of data repositories. For example:

 

As a researcher, I would like to be able to generate a list of repositories to determine where I can deposit my data based on a query of descriptive attributes that are important to me.
As a repository manager, I would like to know what attributes are important for me to provide to users in order to advertise my repository, its services, and its data collections.
As a repository developer, I would like to know how to express and serialize these attributes as structured metadata for reuse by users and user agents in a manner that is integrated into the functionality of my repository software platform.
As a publisher, I would like to inform journal editors and authors of what repositories are appropriate to deposit their datasets that are associated with manuscripts that are being submitted.
As a funder, I would like to be able to recommend and monitor data repositories to be utilized in conjunction with public access plans and data management plans for the research that I am sponsoring.
As a registry, I would like to be able to easily harvest and index attributes of data repositories to help users find the best repository for their purpose.

 

While this is not an exhaustive list of stakeholders and potential use cases, the value of identifying and harmonizing a list of descriptive attributes of data repositories and highlighting current approaches being taken by repositories would help the community address these important challenges and move towards developing a standard for the description and interoperability of information about data repositories. The statements of interest below demonstrate that there is a significant interest in this work….

Many sets of attributes have been identified by different initiatives with differing scopes and motivations.[2] These attributes have included information about data repositories such as terms of deposit, subject classifications, geographic coverage, API and protocol support, funding models, governance, preservation services and policies, openness of the underlying infrastructure, adherence to relevant standards and certifications, and more….”

FAIR Principles for Research Software (FAIR4RS Principles) | RDA

“Research software is a fundamental and vital part of research worldwide, yet there remain significant challenges to software productivity, quality, reproducibility, and sustainability. Improving the practice of scholarship is a common goal of the open science, open source software and FAIR (Findable, Accessible, Interoperable and Reusable) communities, but improving the sharing of research software has not yet been a strong focus of the latter.

To improve the FAIRness of research software, the FAIR for Research Software (FAIR4RS) Working Group has sought to understand how to apply the FAIR Guiding Principles for scientific data management and stewardship to research software, bringing together existing and new community efforts. Many of the FAIR Guiding Principles can be directly applied to research software by treating software and data as similar digital research objects. However, specific characteristics of software — such as its executability, composite nature, and continuous evolution and versioning — make it necessary to revise and extend the principles.

This document presents the first version of the FAIR Principles for Research Software (FAIR4RS Principles). It is an outcome of the FAIR for Research Software Working Group (FAIR4RS WG).

The FAIR for Research Software Working Group is jointly convened as an RDA Working Group, FORCE11 Working Group, and Research Software Alliance (ReSA) Task Force.”

Data Together: Fostering Cooperation Among Open Science Platforms

“In alignment with RDA’s core mission to ‘set international Research Data and Protocol agreements and standards’11 , the RDA Global Open Research Commons Interest Group (GORC IG)12 is helping to support coordination amongst regional, national, pan-national and domain-specific organizations. Those organizations are developing the interoperable resources necessary to enable researchers to address societal grand challenges across disciplines, technologies and countries….

The Global Open Science Cloud (GOSC)13 initiative has its roots in the same series of meetings. It was proposed in 2019 at the CODATA conference in Beijing with the objective to assist the alignment and interoperation of open science cloud activities. GOSC aims to co-design and build a cross-continental, federated e-infrastructure and virtual research environment for global cooperation and open science using harmonized policies, interoperable protocols and transparent services. Network connectivity, secure AAI (Authentication and Authorization Infrastructure), computing federation, FAIR data, and policy alignment are the key components….

 While the GORC initiative focuses on a roadmap for commons integration, the GOSC is creating a cooperation mechanism and testbed implementations for science clouds that arise from that roadmap. Developing and sustaining collaboration between GORC and GOSC, through the Data Together partnership will enhance the impact of each initiative and result in sustainable benefits for the wider research community. In addition, members of the Data Together group are working with the various platforms to convene a roundtable of senior representatives from the organizations to facilitate these efforts.”

» Data Together: Fostering Cooperation Among Open Science Platforms

“Collectively referred to as Data Together, the four collaborating international data organisations—CODATA, GO FAIR, RDA, WDS—have a joint commitment (published in March 2020) to work together to optimise the global research data ecosystem and to identify opportunities that will trigger federated infrastructures to service the new reality of data-driven science.

These infrastructures are typically referred to as science clouds or platforms, or research commons, and can be defined at a high level as forming a global trusted ecosystem that provides seamless access to high quality interoperable research outputs and services. Science clouds and commons are developing around the world to address the need for infrastructures to support cross-geographical and cross-disciplinary open science.

Both CODATA and RDA have major initiatives to work with the development of such open research infrastructures: CODATA’s Global Open Science Cloud (GOSC) and RDA’s Global Open Research Commons (GORC), developed in collaboration with the WDS. These came out of a series of meetings held at International Data Week, RDA Plenaries, CODATA Conferences and the FAIR Convergence Symposium, and ultimately include all the Data Together organisations as partners. The GOSC and GORC initiatives aim to encourage cooperation, alignment and interoperability among these infrastructures….”

Helping data make a difference – ARDC

“In late March, when the European Commission asked the Research Data Alliance (RDA) to develop a set of global guidelines and recommendations for data sharing in response to the crisis, Kheeran Dharmawardena served as one of the moderators in the community participation theme.

Kheeran has been addressing the gap between information infrastructure and users over the past two decades. His background includes providing ICT services across the higher education and research sectors, including Monash University, the University of Melbourne, ARDC’s Nectar Research Cloud and the Atlas of Living Australia. He’s currently the principle consultant at Cytrax Consulting and also co-chairs the Virtual Research Environments and the Social Dynamics of Data Interoperability interest groups at the RDA. He also founded and co-chairs the Australian Geospatial Capabilities community of practice.

 

Following the RDA’s publication of its report, COVID-19 Recommendations and Guidelines for Data Sharing, Dharmawardena provided some insight on the project and the importance of data access….”