Frontiers | Collaborative Processes in Science and Literature: an In-Depth Look at the Cases of CERN and SIC | Research Metrics and Analytics

Abstract:  In this paper we examine how the process of collaboration works in science and literature. In the first part, we discuss the features of scientific collaboration and literary collaboration and the differences between them. In the second part, we analyze two processes of collaboration, each from a different field: the case of CERN and high-energy physics and the case of Scrittura Industriale Collettiva and its Great Open Novel. Lastly, we try to compare those two processes and deduce the common traits of a successful collaboration.


GeoLog | How Open Science may help us during and after the pandemic – GeoLog

“We are three Earth Scientists who advocate for Open Science and our collaboration strengthened during the pandemic. In this difficult time, the benefits of Open Science and specifically open access to journal articles and the use of preprints were revealed to academia and the general public. These trends are encouraging and bode well for their greater use and development in a changing world. At this time, all researchers should have a sense of togetherness or Ubuntu, an African philosophy which is often translated as “I am, because we are”. The principles of Open Science uphold human rights and Ubuntu that enable researchers to interact and solve common problems. These same principles endorse transparency and collaboration, and, therefore, may have an important role so that researchers can remain productive during and after this pandemic.”

Supercharge your research: a ten-week plan for open data science

“Now, we have reframed data analysis as a collaborative effort rather than an individual burden. We regularly discuss our data challenges as a team, starting with the expectation that better approaches and tools exist and that we can find them together.

Our idea of open data science blends R developer Hadley Wickham’s definition of data science — “turn[ing] raw data into understanding” — with open science tools and practices, such as using collaborative version-control platforms for code and project management. Empowered by our new perspective, we are establishing such practices in our groups by creating workflows that facilitate reproducibility and data sharing, and that streamline code organization and collaboration. All of our approaches are centred around an ‘open’ ethos.

This transition requires a shift in mindset as much as an investment in skill development and team-building. Here are three ideas for how research groups can get started, and a plan for kick-starting this change in ten weeks (see ‘A ten-week plan for open data science’)….”

Microsoft and the Open Data Institute join together to launch a Peer Learning Network for Data Collaborations – Microsoft on the Issues

“Today, in partnership with the Open Data Institute (ODI), we are delighted to announce an open call for participation in a new Peer Learning Network for Data Collaborations. Peer learning networks are an important tool to foster the exchange of knowledge and help participants learn from one another so they can more effectively address the challenges they face.

In April, with the launch of Microsoft’s Open Data Campaign, we committed to putting open and shared data into practice by addressing specific challenges through data collaborations. For a data collaboration to achieve its goals, there are many factors that must come together successfully. Oftentimes, this process can be incredibly challenging. From aligning on key outcomes and data use agreements to preparing datasets for use and analysis, these considerations require time and extensive coordination….

Awardees will have the opportunity to:

receive up to £20,000 for their time over the six months of the peer learning network
learn about and receive guidance from the ODI and Microsoft on different technical approaches, governance mechanisms, and other means for managing data collaborations
connect with peers also working on these challenges

For the purpose of the Peer Learning Network, data collaborations are defined as:

involving a collaboration of companies, research institutions, non-profits, and/or government entities
addressing a clear societal or business-related challenge
are working to make their data as open as possible in the context of the collaboration (collaborations working with restrictions related to privacy or commercial sensitivity are encouraged to apply)
ultimately demonstrate increased access to, and/or meaningful use of, data in reaching the specific goal …”

OpenDOAR and COAR collaboration

“Jisc and COAR announced their collaboration in October 2020 and will be working closely together on nurturing community governance over OpenDOAR. Our ‘Roadmap for sustainability and community governance for OpenDOAR’ details the plans for this exciting collaboration and the upcoming projects on OpenDOAR’s horizon….”

Mellon grant boosts digital stewardship of indigenous cultural materials | WSU Insider | Washington State University

“Washington State University researchers working to enable digital repatriation of Native American cultural heritage materials received a $700,000 grant from The Andrew W. Mellon Foundation for the next phase of an innovative, community-driven curation program.

The award supports implementation of the Mukurtu Shared platform and the collaborative curation method developed at WSU for digitally sharing Native American cultural materials housed at the Smithsonian Institution and the Library of Congress.

Part of the unique Mukurtu CMS software initiative, Mukurtu Shared will allow the materials to be ethically and collaboratively curated in the online environment by indigenous communities using standardized, replicable workflows and freely available digital tools, said Kimberly Christen, professor and director of the Digital Technology and Culture Program in the College of Arts and Sciences (CAS) and a principal investigator for the grant….”

Call for papers: IEEE Software Special Issue on Collaborative Aspects of Open Data in Software Engineering – Policy and Research – Open Knowledge Forums

“Happy to announce the call for papers to the IEEE Software Special Issue on Collaborative Aspects of Open Data in Software Engineering.

With this issue, we want to focus on the collaborative aspects of Open Data in software engineering and how these aspects can help – or hinder – practitioners within both private and public organizations to exploit the potential benefits.

Extant research promotes the creation of data ecosystems or collaboratives but is limited in terms of guidelines and support for software engineers. Inspiration can be elicited from the more thoroughly investigated collaborative practices present in Open Source Software communities and Software Ecosystems….”

Built to last! Embedding open science principles and practice into European universities

Abstract:  The purpose of this article is to examine the cultural change needed by universities, as identified by LERU in its report Open Science and its role in universities: a roadmap for cultural change.1 It begins by illustrating the nature of that cultural change. Linked to that transformation is a necessary management change to the way in which organizations perform research. Competition is not the only, or necessarily the best, way to conduct this transformation. Open science brings to the fore the values of collaboration and sharing. Building on a number of Focus on Open Science Workshops held over five years across Europe, the article identifies best practice in changing current research practices, which will then contribute to the culture change necessary to deliver open science. Four case studies, delivered at Focus on Open Science Workshops or other conferences in Europe, illustrate the advances that are being made: the findings of a Workshop on Collaboration and Competition at the OAI 11 meeting in Geneva in June 2019; alternative publishing platforms, exemplified by UCL Press; open data, FAIR data and reproducibility; and a Citizen Science Workshop held at the LIBER Conference in Dublin in June 2019.


First Thoughts on the New European Research Area: An Ambitious Plan Calls for Inclusiveness and Collaboration

“Science Europe welcomes the European Commission’s ambitious Communication for ‘A New ERA for Research and Innovation.’ To further strengthen Europe’s world-leading research, a strong European Research Area is essential and must be based on research excellence, international collaboration, openness, inclusiveness, and academic freedom….

Several initiatives are foreseen by the ERA Roadmap on research careers, transnational research funding, assessment, and Open Science, that could have a transformative impact on the way research is funded and performed….”