TRUST Principles Mini Symposium – July 7, 2020 | RDA

“The TRUST Principles for digital repositories, recently published in Nature Research’s Scientific Data, present a new set of guiding principles to demonstrate digital repository trustworthiness, centered around Transparency, Responsibility, User focus, Sustainability, and Technology. As the article states, “Repositories must earn the trust of the communities they intend to serve and demonstrate that they are reliable and capable of appropriately managing the data they hold,” and the TRUST principles provide a framework to facilitate discussion and implementation of best practices in digital preservation.

Research Data Canada (RDC), Research Data Alliance (RDA), World Data Systems (WDS), and the TRUST Principles authors are pleased to present a virtual Mini Symposium that will provide an introduction to the principles for a global audience, along with an overview of key concepts and implementations from a variety of stakeholder perspectives. See the schedule below for a full list of topics and presenters.”

TRUST Principles Mini Symposium – July 7, 2020 | RDA

“The TRUST Principles for digital repositories, recently published in Nature Research’s Scientific Data, present a new set of guiding principles to demonstrate digital repository trustworthiness, centered around Transparency, Responsibility, User focus, Sustainability, and Technology. As the article states, “Repositories must earn the trust of the communities they intend to serve and demonstrate that they are reliable and capable of appropriately managing the data they hold,” and the TRUST principles provide a framework to facilitate discussion and implementation of best practices in digital preservation.

Research Data Canada (RDC), Research Data Alliance (RDA), World Data Systems (WDS), and the TRUST Principles authors are pleased to present a virtual Mini Symposium that will provide an introduction to the principles for a global audience, along with an overview of key concepts and implementations from a variety of stakeholder perspectives. See the schedule below for a full list of topics and presenters.”

The TRUST Principles for digital repositories | Scientific Data

“As information and communication technology has become pervasive in our society, we are increasingly dependent on both digital data and repositories that provide access to and enable the use of such resources. Repositories must earn the trust of the communities they intend to serve and demonstrate that they are reliable and capable of appropriately managing the data they hold.

Following a year-long public discussion and building on existing community consensus1, several stakeholders, representing various segments of the digital repository community, have collaboratively developed and endorsed a set of guiding principles to demonstrate digital repository trustworthiness. Transparency, Responsibility, User focus, Sustainability and Technology: the TRUST Principles provide a common framework to facilitate discussion and implementation of best practice in digital preservation by all stakeholders….”

The TRUST Principles for digital repositories | Scientific Data

“As information and communication technology has become pervasive in our society, we are increasingly dependent on both digital data and repositories that provide access to and enable the use of such resources. Repositories must earn the trust of the communities they intend to serve and demonstrate that they are reliable and capable of appropriately managing the data they hold.

Following a year-long public discussion and building on existing community consensus1, several stakeholders, representing various segments of the digital repository community, have collaboratively developed and endorsed a set of guiding principles to demonstrate digital repository trustworthiness. Transparency, Responsibility, User focus, Sustainability and Technology: the TRUST Principles provide a common framework to facilitate discussion and implementation of best practice in digital preservation by all stakeholders….”

Welcome — The Turing Way

“The Turing Way is an open source community-driven guide to reproducible, ethical, inclusive and collaborative data science.

Our goal is to provide all the information that data scientists in academia, industry, government and in the third sector need at the start of their projects to ensure that they are easy to reproduce and reuse at the end.

The book started as a guide for reproducibility, covering version control, testing, and continuous integration. But technical skills are just one aspect of making data science research “open for all”.

In February 2020, The Turing Way expanded to a series of books covering reproducible research, project design, communication, collaboration, and ethical research.”

A Community Handbook for Open Data Science

“The Turing Way started in December 2018 and has quickly evolved into a collaborative, inclusive and international endeavor with the aim of uncovering gold standards to ensure reproducible, ethical, inclusive and collaborative data science. How did this happen? I think two ingredients were central to The Turing Way‘s success: extraordinary community building and a clear enticing vision….

Anyone can contribute is a central theme. And not only that: anyone can bring ideas to the table. And folks are doing just that. At the time of writing this post 168 people have contributed. So on average the project has gained 9 new contributors every month since it’s initiation….”

Journal Best Practices Checklist: LPC – Google Docs

“This document organizes LPC’s resources related to journal publishing into a best practices ‘checklist.’ It isn’t comprehensive or authoritative, but will hopefully provide a starting point. With the exception of the Shared Documentation, all resources listed are freely available. New resources will be added to this list as they are created. In the meantime, we suggest also keeping an eye on the Library Publishing Workflows project, which is investigating and documenting journal publishing workflows in libraries. …”

COAR Recommendations for COVID-19 resources in repositories – COAR

“Around the world, research related to COVID-19 is being undertaken at unprecedented rates and rapid sharing of early research outputs at the international level is critically important. Many governments and funders are requiring immediate open access to COVID-19 outputs in the form of preprints, data and so on. With over 5,000 repositories around the world providing open access to data, articles, pre-prints and other valuable products of research, the international repository network represents critical research infrastructure. A coordinated and interoperability approach across repositories will to ensure that COVID-19 resources are widely available and discoverable.

To that end, COAR is making the following recommendations for repositories and repository networks: …”

Open Scholarship Knowledge Base

“A project

The Open Scholarship Knowledge Base is a collaborative initiative to curate and share knowledge about the what, why, and how of open scholarship. This includes reviewing, consolidating, organizing, and improving the discoverability of content to support the education and application of open practices for all aspects of the research lifecycle.

A community

Spearheaded by volunteers, the Open Scholarship Knowledge Base is a community of diverse individuals aligned by a shared goal to make learning and applying open research practices easier. It is being built by and for the community it aims to serve. Researchers, teachers, funders, librarians, and anyone wanting to open scholarship are welcome to edit, curate, and contribute to this community resource.

Join the community by contributing your favorite content to the OSKB through this content submission form!

A platform

Educational content (tutorials, workshop materials, videos, papers, and more) generated by the many contributors to open scholarship across disciplines and regions will be curated and maintained as openly accessible modules and trainings. For example, a user can discover content about data sharing that relates to their discipline, role, and data characteristics, and follow self-guided learning pathways on why and how to share their data….”