Created at the end of last year, CO-OPERAS IN aims to bring FAIR data principles into the SSH research area, support existing scholarly communication services and platforms to connect them as components of an emerging EOSC, and more broadly to the global SSH communities.
Project: Adopting Open Science Practices: Researcher Perspectives on Incentives and Disincentives: A Symposium
An ad hoc planning committee of the National Academies of Sciences, Engineering, and Medicine will organize a public symposium in conjunction with the September 2019 meeting of the Roundtable on Aligning Incentives for Open Science. The symposium will explore current barriers to adopting open science practices and how they might be addressed.
Citecorp: Working with Open Citations - ROpenSci - Open Tools for Open Science
citecorp is a new (hit CRAN in late August) R package for working with data from the OpenCitations Corpus (OCC). OpenCitations, run by David Shotton and Silvio Peroni, houses the OCC, an open repository of scholarly citation data under the very open CC0 license. The I4OC (Initiative for Open Citations) is a collaboration between many parties, with the aim of promoting "unrestricted availability of scholarly citation data". Citation data is available through Crossref, and available in R via our packages rcrossref, fulltext and crminer.
The Top 10 FAIR Data & Software Global Sprint was held online over the course of two-days (29-30 November 2018), where participants from around the world were invited to develop brief guides (stand alone, self paced training materials), called "Things", that can be used by the research community to understand FAIR in different contexts as well as some initial steps to consider.
Legal Compendium on Open Science: Guideline Answers Legal Questions
With this compendium, the Hamburg Open Science Programme aims to provide practical support for practitioners of open science and to help remove existing obstacles on the way to greater transparency in science.
Significant Economic Benefits? Enhancing the Impact of Open Science for Knowledge Users
In this post it is discussed how open research can lead to economic benefits. The author suggests that future open research policies should focus on developing research discovery, translation and the capacity for research utilisation outside of the academy.
The authors explore the extent to which universities are functioning as effective open knowledge institutions; as well as the types of information that universities, funders, and communities might need to understand an institution's open knowledge performance and how it might be improved. The challenges of data collection on open knowledge practices at scale, and across national, cultural and linguistic boundaries are also discussed.
This graphic is an adaptation of Kramer and Bosman's Rainbow of open science practices and Stanley and Vandegrift's Periodic Table of Digital Research Resources. It is meant to inspire and invoke ongoing discussions about what a community- or academy-owned research infrastructure might begin to look like.
OpenCitations is a scholarly infrastructure organization dedicated to open scholarship and the publication of open bibliographic and citation data as Linked Open Data using Semantic Web technologies, to the development of software tools and services that enable convenient access to these open data, and to community advocacy for open citations. This paper describes OpenCitations and its datasets, tools, services and activities.
Open Humans: A Platform for Participant-centered Research and Personal Data Exploration
Open Humans highlights how a community-centric ecosystem can be used to aggregate personal data from various sources, as well as how these data can be used by academic and citizen scientists through practical, iterative approaches to sharing that strive to balance considerations with participant autonomy, inclusion, and privacy.
Open Call: Become a Frictionless Data Reproducible Research Fellow
The Frictionless Data Reproducible Research Fellows Program, supported by the Sloan Foundation, aims to train graduate students, postdoctoral scholars, and early career researchers how to become champions for open, reproducible research using Frictionless Data tools and approaches in their field.