The TRUST Principles – An RDA Community Effort | RDA

“An RDA community effort has led to the development and publication, in Nature Research’s Scientific Data, of the article, “The TRUST Principles for digital repositories”. These principles offer guidance for maintaining the trustworthiness of digital repositories, especially those responsible for the stewardship of research data. Guidance for each of the TRUST Principles is reproduced below.”

The Global Research Data Alliance community response to the global COVID-19 pandemic | RDA

“Data drives rapid response and informed decision making during public health emergencies. There is a need for timely and accurate collection, reporting and sharing of data with the research community, public health practitioners, clinicians and policy makers. Accurate and rapid availability of data will inform assessment of the severity, spread and impact of a pandemic to implement efficient and effective response strategies.

The Research Data Alliance (RDA) is a volunteer community of over 10,500 professionals from 145 countries across the globe. In less than two months, the community responded to an urgent call for action and defined much needed, comprehensive recommendations and guidelines for data sharing under the present COVID-19 circumstances. 
Today, 28 May 2020, we publish the pre-final version of the RDA COVID-19 Recommendations and Guidelines covering four research areas – clinical data, omics practices, epidemiology and social sciences. This document is also complimented by overarching areas focusing on legal and ethical considerations, research software, community participation and indigenous data.
The detailed guidelines in this body of work aim to help stakeholders follow best practices to maximise the efficiency of their work and act as a blueprint for the current and future health emergencies. The recommendations aim to help policymakers and funders maximise timely, quality data sharing and appropriate responses to health emergencies, particularly COVID-19. 

The report specifically emphasises the importance of the following during the COVID-19 emergency response:  …”

The Global Research Data Alliance community response to the global COVID-19 pandemic | RDA

“Data drives rapid response and informed decision making during public health emergencies. There is a need for timely and accurate collection, reporting and sharing of data with the research community, public health practitioners, clinicians and policy makers. Accurate and rapid availability of data will inform assessment of the severity, spread and impact of a pandemic to implement efficient and effective response strategies.

The Research Data Alliance (RDA) is a volunteer community of over 10,500 professionals from 145 countries across the globe. In less than two months, the community responded to an urgent call for action and defined much needed, comprehensive recommendations and guidelines for data sharing under the present COVID-19 circumstances. 
Today, 28 May 2020, we publish the pre-final version of the RDA COVID-19 Recommendations and Guidelines covering four research areas – clinical data, omics practices, epidemiology and social sciences. This document is also complimented by overarching areas focusing on legal and ethical considerations, research software, community participation and indigenous data.
The detailed guidelines in this body of work aim to help stakeholders follow best practices to maximise the efficiency of their work and act as a blueprint for the current and future health emergencies. The recommendations aim to help policymakers and funders maximise timely, quality data sharing and appropriate responses to health emergencies, particularly COVID-19. 

The report specifically emphasises the importance of the following during the COVID-19 emergency response:  …”

RDA COVID-19 Guidelines and Recommendations | EIFL

“The Research Data Alliance (RDA) COVID-19 Working Group has released draft guidelines and recommendations for sharing research data in ways that support scientific research and policy making during public health emergencies. 

The group is calling for feedback on the draft guidelines. Feedback will inform the Working Group’s discussions and be incorporated into the next version of the guidelines and recommendations. You can post your feedback here. The deadline is 24 May. …”

Principles and best practices in data versioning for all data sets big and small | RDA

“The demand for better reproducibility of research results is growing. More and more data is becoming available online. In some cases, the datasets have become so large that downloading the data is no longer feasible. Data can also be offered through web services and accessed on demand. This means that parts of the data are accessed at a remote source when needed. In this scenario, it will become increasingly important for a researcher to be able to cite the exact extract of the data set that was used to underpin their research publication. However, while the means to identify datasets using persistent identifiers have been in place for more than a decade, systematic data versioning practices are currently not available.

Versioning procedures and best practices are well established for scientific software. The related Wikipedia article gives an overview of software versioning practices. The codebase of large software projects does bear some semblance to large dynamic datasets. Are therefore versioning practices for code also suitable for data sets or do we need a separate suite of practices for data versioning? How can we apply our knowledge of versioning code to improve data versioning practices? This Working Group investigated to which extent these practices can be used to enhance the reproducibility of scientific results.

The Research Data Alliance (RDA) Data Versioning Working Group produced this white paper to document use cases and practices, and to make recommendations for the versioning of research data. To further adoption of the outcomes, the Working Group contributed selected use cases and recommended data versioning practices to other groups in RDA and W3C. The outcomes of the RDA Data Versioning Working Group add a central element to the systematic management of research data at any scale by providing recommendations for standard practices in the versioning of research data. These practice guidelines are illustrated by a collection of use cases.”

Francine Berman to Receive Peters Award at December CNI Meeting

“The Coalition for Networked Information (CNI), the Association of Research Libraries (ARL), and EDUCAUSE are pleased to announce that Francine Berman, Edward P. Hamilton Distinguished Professor of Computer Science at Rensselaer Polytechnic Institute and Katherine Hampson Bessell Fellow at the Radcliffe Institute at Harvard University, has been named the 2020 recipient of the Paul Evan Peters Award. The award recognizes notable, lasting achievements in the creation and innovative use of network-based information resources and services that advance scholarship and intellectual productivity.

Nominated by highly respected members of the information science community, Berman is widely recognized for her leadership in digital data stewardship, preservation, and cyberinfrastructure. Such infrastructure is critical to supporting data-driven research and new discovery in a broad variety of fields, including the digital humanities. Appointed by President Obama to the National Council on the Humanities, Berman has worked closely with the library and museum communities. She also co-chaired the Blue Ribbon Task Force on Sustainable Digital Preservation and Access and the National Academies Board on Research Data and Information. In 2012, she helped found the Research Data Alliance, an international, community-driven organization established to accelerate research data sharing and data-driven innovation worldwide….”

The Research Data Alliance: Benefits and Challenges of Building a Community Organization · Harvard Data Science Review

“The Research Data Alliance (RDA) is a community-driven organization dedicated to the development and use of technical, social, and community infrastructure promoting data sharing and data-driven exploration. RDA is particularly important for the global academic community where research infrastructure is often ad hoc, may have a short shelf-life, and hard to fund.

At its launch in 2013, RDA struck a chord. Since then, RDA has attracted more than 9400 members from 130-plus countries and developed infrastructure used by groups all over the world. One of its founders is Francine Berman (FB), 2019–2020 Radcliffe Fellow at Harvard and the Edward P. Hamilton Distinguished Professor of Computer Science at Rensselaer Polytechnic Institute. Berman served as co-chair of RDA’s leadership council and chair of the U.S. region of RDA (RDA/US) for the first 6 years of RDA’s growth. Her leadership and organizational experience in developing and operating national-scale cyberinfrastructure (she is former director of the San Diego Supercomputer Center) and her broad community contributions have helped drive the success of RDA.

In this piece, Berman is interviewed by Mercè Crosas, Harvard University’s Research Data Officer with the Chief Information Officer’s leadership team and leader of Dataverse. Berman and Crosas met through RDA and both have deep knowledge of the benefits and challenges of running a community-focused organization. They share some of those insights in the conversation below. More information, including specifics on the RDA community and RDA’s ‘origin story,’ can be found here….”

The International Research Data Community contributing to EOSC-Live | EOSCSecretariat

“An EOSC Event at RDA Helsinki Plenary: an integral part of the EOSC Stakeholder Forum

22 October 2019, 09:00 – 17:00 local time, Helsinki, Finland

Aalto University, DIPOLI, Otakaari 24, Otaniemi, Espoo

Organised by EOSCSecretariat.eu in collaboration with the Research Data Alliance (RDA)….”

RDA and COAR Collaborate to Progress Research Data Management Internationally | RDA

“The Research Data Alliance (RDA) and the Confederation of Open Access Repositories (COAR) are pleased to announce an agreement to work together to strengthen and expand capacities for research data management within the international data repository community.

COAR and RDA have a shared mission to improve access and use of research outputs, leading to better research and new discoveries. As part of this agreement, the organizations intend to coordinate more closely on strategic initiatives of shared interest, regularly exchange information about activities, and conduct joint webinars and events to support common aims….”

FREYA — English

“FREYA is a 3-year project funded by the European Commission under the Horizon 2020 programme. The project aims to build the infrastructure for persistent identifiers as a core component of open science, in the EU and globally. FREYA will improve discovery, navigation, retrieval, and access of research resources. New provenance services will enable researchers to better evaluate data and make the scientific record more complete, reliable, and traceable. By engaging with the global community through the Research Data Alliance and other research infrastructures, we work together to realise the vision of fully and effectively accessible data. FREYA follows on from the successful THOR project. Read more about what we do here….”