Not an OA Mandate: "Thoughts and Observations on the OSTP Responses to Our Interview Questions"


(Rick) We should note here that while in the process of composing this post, we received some follow-up communication from Dr. Nelson and her Office on the evening of Tuesday, 11 October. This led to a brief exchange in which the Office confirmed that the guidance document does, in fact, represent a non-binding set of recommendations, not a mandatory directive.

https://cutt.ly/nBTyPbA

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The State of Open Data Report 2022


Based on a global survey, the report is now in its seventh year and provides insights into researchers’ attitudes towards and experiences of open data. With more than 5,400 respondents, the 2022 survey is the largest since the COVID-19 pandemic began.

This year’s report also includes guest articles from open data experts at the National Institutes of Health (NIH), the White House Office of Science and Technology Policy (OSTP), the Chinese Academy of Sciences (CAS), publishers and universities.

https://cutt.ly/iBTuXpe

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"Synchronic Curation for Assessing Reuse and Integration Fitness of Multiple Data Collections"


SC is a framework that can be implemented to curate data collections to solve multiple research use cases in different scientific fields. SC fills an urgent need in data driven research that requires usage of large and diverse data collections. To reuse data, the first step is to assess its quality and its fitness to address the research use case at hand. SC proposes modelling data collections to research questions to enable targeted analyses and comparisons that can help users identify which collections are more reliable and adequate to solve them. Importantly, SC enables curators and researchers to assess multiple datasets at the same time.

https://doi.org/10.2218/ijdc.v17i1.847

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"Science‘s No-Fee Public-Access Policy Will Take Effect in 2023"


Since then [9/9/2022], Bill Moran, publisher of the Science journals at the AAAS, has told Nature that Science’s policy will come into effect from January 2023 and applies to all five subscription journals in the Science family. . . . He also said that the terms under which authors will be able to share their manuscripts have yet to be finalized, because a custom reuse licence for non-commercial use is still being developed. Open-access scholars say that this leaves questions about how liberally researchers will be able to share their work.

https://doi.org/10.1038/d41586-022-03128-2

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"Increasing the Reuse of Data through FAIR-enabling the Certification of Trustworthy Digital Repositories"


To address this gap the FAIRsFAIR project developed a number of tools and resources that facilitate the assessment of FAIR-enabling practices at the repository level as well as the FAIRness of datasets within them. These include the CoreTrustSeal+FAIRenabling Capability Maturity model (CTS+FAIR CapMat), a FAIR-Enabling Trustworthy Digital Repositories-Capability Maturity Self-Assessment template, and F-UJI, a web-based tool designed to assess the FAIRness of research data objects.

https://doi.org/10.2218/ijdc.v17i1.852

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"Uncommon Commons? Creative Commons Licencing in Horizon 2020 Data Management Plans"


I find that 36% of DMPs mention creative commons and among those a number of different approaches towards licencing exist (overall policy per project, licencing decisions per dataset, licencing decisions per partner, licensing decision per data format, licensing decision per perceived stakeholder interest), often clad in rather vague language with CC licences being “recommended” or “suggested”.

https://doi.org/10.2218/ijdc.v17i1.840

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Springer Nature Group Annual Progress Report 2021 Released

" In 2021, we published our one millionth OA article, an industry first. By 2024, we aim to have at least half of all our primary research published OA. . . . In 2021, our fully OA journals waived fees of more than €18.4 million for authors in financial need, including €6.6 million for researchers in lower-income countries"

https://cutt.ly/zBuSZAT

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"FAIREST: A Framework for Assessing Research Repositories "

"In this article, we introduce the FAIREST principles, a framework inspired by the well-known FAIR principles, but designed to provide a set of metrics for assessing and selecting solutions for creating digital repositories for research artefacts. The goal is to support decision makers in choosing such a solution when planning for a repository, especially at an institutional level.. . . We further describe an assessment of 11 widespread solutions, with the goal to provide an overview of the current landscape of research data repository solutions, identifying gaps and research challenges to be addressed."

https://doi.org/10.1162/dint_a_00159

"Many Researchers Were Not Compliant with Their Published Data Sharing Statement: A Mixed-Methods Study – Journal of Clinical Epidemiology"

https://doi.org/10.1016/j.jclinepi.2022.05.019

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"Surveying Research Data-Sharing Practices in Us Social Sciences: A Knowledge Infrastructure-Inspired Conceptual Framework"

https://doi.org/10.1108/OIR-03-2020-0079

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"Are We Building the Data Discovery Infrastructure Researchers Want? Comparing Perspectives of Support Specialists and Researchers"

"This is a meta-synthesis of work the authors have conducted over the last six years investigating the data discovery practices of researchers and support specialists, like data librarians. We bring together data collected from in-depth interview studies with 6 support specialists in the field of social science in Germany, with 21 social scientists in Singapore, an interview with 10 researchers and 3 support specialists from multiple disciplines, a global survey with 1630 researchers and 47 support specialists from multiple disciplines, an observational study with 12 researchers from the field of social science and a use case analysis of 25 support specialists from multiple disciplines."

https://arxiv.org/abs/2209.14655

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"Going Qual In: Towards Methodologically Inclusive Data Work in Academic Libraries"

https://cutt.ly/EV9wSla

"In this paper, we report on the results of interviews with academic librarians about their understanding of data literacy, qualitative research, and academic library infrastructure around qualitative research. From the interviews, we propose a model of data literacy that incorporates both interpretive and instrumental elements. We conclude with suggestions for incorporating qualitative data and analysis methods into academic library programming and services around data literacy and research data."

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"Developing Data Literacy: How Data Services and Data Fellowships Are Creating Data Skilled Social Researchers"

https://cutt.ly/VV9wBEF

"This paper describes two successful approaches to quantitative data literacy training within the UK and the synergies and collaborations between these two programmes. The first is a data literacy training programme, being delivered by the UK Data Service, which focuses on training in basic data literacy skills. The second is a Data Fellows programme that has been developed to help undergraduate social science students gain real-world experience by applying their classroom skills in the workplace."

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"Factors Contributing to Repository Success in Recruiting Data Deposits"

https://doi.org/10.29173/iq1037

"While quite a few studies outline researchers’ data management needs and how repositories can meet those needs, few have assessed the success of various approaches. This study examines infrastructure for accepting data into repositories and identifies factors influential in recruiting data deposits."

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"Why You Should Sign the Open Letter to the OSTP"

https://ostp-letter.github.io/why.html

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