“On the 10 – 14 May 2021, during Open Scholarship Week (OSW2021) staff, students, members of the public and a variety of other stakeholders will come together to talk about changing the ways scholarly information is openly communicated, shared and used. OSW2021 will offer a diverse range of talks and workshops representing many different perspectives and disciplines on Open practices in research and education….”
“3D data means different things to different people. Most are probably familiar with highly processed outputs, like the previous examples, which often lack documentation describing how the data has been created and processed. In fact, depending on the creation method, the creator may not even have access to the processing information due to the use of proprietary tools. However, even when 3D data is well documented through the best efforts of a creator, data steward, or repository, the data’s description is generally bespoke, and the terms used are ambiguous. This gives 3D data a steep slope to climb to achieve findability, accessibility, interoperability, and reusability (FAIR-ness).
The use of 3D technologies has grown exponentially in the last 10 years. As a result, research libraries have invested significant infrastructure, services, and people into supporting research, teaching principles, and modeling applications of 3D technologies and data. Research libraries have begun creating and capturing 3D data using a variety of methods and formats, establishing 3D immersion labs, opening 3D printing shops within their library spaces, and adding 3D data to their repositories. As use of these tools and services has become more widespread, appropriate stewardship of the digital data is critical for ongoing accessibility, but not yet widely established or agreed upon. Enter the Community Standards for 3D Data Preservation (CS3DP) initiative.
Organized by colleagues at Washington University in St. Louis, the University of Michigan, and Iowa State University, CS3DP aims to be an open, radically inclusive, and collaborative community invested in creating standards. Composed of working groups from national and international participants, the CS3DP community has increased awareness and accelerated the creation and adoption of best practices, metadata standards, and policies for the stewardship of 3D data….”
“How to design open science policies that address local needs, and are at the same time aligned with regional – for example, African or European – priorities? I face this question every time I get involved in new open science policy development initiatives. And usually there is more than one answer, depending on the policy context….
Open access to publications – repository deposits, immediate open access under a CC-BY licence, alignment with the cOAlition S Right Retention strategy and Horizon Europe requirements, and linking to research assessment and evaluation:
Require researchers to deposit in a repository a machine-readable electronic copy of the full-text (published article or final peer-reviewed manuscript) before or at the time of publication.
Retain ownership of copyright, and licence to publishers only those rights necessary for publication. Authors (or their organizations) must ensure open access to the Author Accepted Manuscripts or the Version of Record of research articles at the time of publication. All research articles must be made available under a Creative Commons Attribution CC BY licence or equivalent or, by exception, a Creative Commons Attribution, NoDerivatives CC BY-ND licence, or equivalent. For monographs, deposit remains mandatory, but access could be closed.
For purposes of individual or institutional evaluation of research output, full texts of publications must be deposited in the repository….”
“As more data is made openly accessible as a part of journal articles or federal funder requirements, the importance of data curation can not be over-emphasized. Data is not intrinsically useful. Furthermore, datasets do not simply become useful because they are publicly available. Data is useful only insofar as it meets the needs of the user. Likewise, more data does not mean more value (Binggeser, 2017). Data is of the highest value for those who collected it. Others who were not involved in the data collection and analysis efforts can find data less useful for their needs, especially if the data is not properly curated. Including as supplemental information a dataset that has not been properly prepared for public use reduces the usefulness of the data. Data must be cleaned and prepared properly for it to be useful. And this process does not happen by accident; it must be purposely conducted by someone trained in properly curating a dataset for public use (Johnston et al, 2018)….
What value does the curation process provide for data? The data curation steps formalized by the DCN in the C.U.R.A.T.E.D. acronym include the following: Check (the files for completeness and viability), Understand (the contents), Request (additional information), Augment (metadata), Transform (to open formats), Evaluate (for FAIRness), and Document (the curation process) (Johnston et al, 2018). …”
“Most are familiar with registering Digital Object Identifiers (DOIs), a type of Persistent Identifier (PID), to create lasting records for online research outputs. Registering DOIs for journal articles and other scholarly content and adding DOI links to references when possible is one of the best steps publishers can take to support research linking and discovery. But publishers shouldn’t stop at creating DOIs for articles. There are many other PIDs to consider adding to article-level metadata to support research discovery, assessment, and reuse. Additional PIDs can also expand the potential reach of content outputs when included in metadata registered with discovery services like Crossref.
During the NISO Plus session “Linked Data and the Future of Information Sharing,” Christian Herzog, CEO of Dimensions, and Shelley Stall, Senior Director of Data Leadership at the American Geophysical Union, spoke to emerging PIDs for linking research outputs by not only the content referenced in them but also the scholars, institutions, and funders associated with them. Among the PIDs they said all publishers should consider adding to their metadata are:
ORCID identifiers for authors and their history of research contributions
Institutional IDs such as those developed by GRID, which is the seed data set for the community-led ROR open research organization identifier registry
Grant IDs and funder IDs, such as those in The Open Funder Registry…”
“Most researchers and policymakers support the idea of making research, and specifically research outputs, findable, accessible, interoperably, and reusable (FAIR). The concept of FAIR has been well-developed for research data, but this is not the case for all research products. This blog post seeks to consider how the application of FAIR to a range of research products (beyond data) could result in the development of different sets of principles for applying FAIR to different research objects, and to ask about the implications of this….
Abstract: This project seeks to conduct language translation on metadata labels for research publications, attribution data, and clinical trials information to make data about medical research queriable in underserved languages through Wikidata and the Linked Open Web. This project has the benefit of distributing content through Wikipedia and Wikidata, which already have an annual userbase of a billion users and which already have established actionable standards to practice diversity, inclusion, openness, FAIRness, and transparency about program development. The impact will be localized access to basic research information in various Global South languages to integrate with existing community efforts for establishing the same. Although Wikidata development in this direction seems inevitable, the cultural and social exchange required to establish global multilingual research partnerships could begin now with support rather than later as a second phase effort for including the developing world. Wikipedia and Wikidata are established forums with an existing active userbase for multilingual research collaboration, but the research practices there still are immature. By applying metadata expertise through this project, we will elevate the current amateur development with more stable Linked Open Data compatibility to English language databases. Using the wiki distribution and discussion platform to develop the global conversation about data sharing will set good precedents for the trend of global research collaboration.
“The TU Delft Open Science programme held its very first thematic session on the Recognition and Rewards cross-cutting theme on October 5, 2020. The Open Science Programme currently has 5 projects and 3 cross-cutting themes, from FAIR software to Open Education. This means that the programme core team is composed of members from many different departments (not only within the Library), bringing in their diverse perspectives and skills! But this also poses a challenge on teamwork- we need a way for us to all stay in touch, be able to see and learn from each other’s work, and contribute and provide feedback – hence the idea of the thematic sessions.Ingrid Vos, the leader of the Recognition and Rewards theme, has kindly volunteered to lead this first thematic session. Since this theme relates to everyone’s work within the Open Science Programme, Ingrid wanted to make sure everyone can be effectively engaged in the session and their voices can be heard – more on this below.Key takeaways: A re-examination of rewards and recognition is needed to further fuel the cultural and behavioural changes towards open science TU Delft’s work in this aspect builds upon VSNU’s “Room for everyone’s talent” position paper. Every university in the Netherlands has a committee on Recognition & Rewards. The TU Delft committee is led by Ena Voûte. The Open Science Programme team had fruitful discussions around open research and education behaviours and “products”, how to evaluate, appreciate and reward these, as well as emerging career paths We’d love to hear your ideas and thoughts, both on rewards and recognition and on how you’d like to contribute and participate in these discussions- please use the comment section of this post! …”
“Reliance delivers a suite of innovative and interconnected services that extend EOSC’s capabilities to support the management of the research lifecycle within Earth Science Communities and Copernicus Users….”
Abstract: Open Science, Reproducible Research, Findable, Accessible, Interoperable and Reusable (FAIR) data principles are long term goals for scientific dissemination. However, the implementation of these principles calls for a reinspection of our means of dissemination. In our viewpoint, we discuss and advocate, in the context of nonlinear science, how a notebook article represents an essential step toward this objective by fully embracing cloud computing solutions. Notebook articles as scholar articles offer an alternative, efficient and more ethical way to disseminate research through their versatile environment. This format invites the readers to delve deeper into the reported research. Through the interactivity of the notebook articles, research results such as for instance equations and figures are reproducible even for non-expert readers. The codes and methods are available, in a transparent manner, to interested readers. The methods can be reused and adapted to answer additional questions in related topics. The codes run on cloud computing services, which provide easy access, even to low-income countries and research groups. The versatility of this environment provides the stakeholders – from the researchers to the publishers – with opportunities to disseminate the research results in innovative ways.