"Open Science Infrastructure as a Key Component of Open Science"


The Open Science movement is a response to the accumulated problems in scholarly communication, like the "reproducibility crisis", "serials crisis", and "peer review crisis". The European Commission defines priorities of Open Science as Findable, Accessible, Interoperable and Reproducible (FAIR) data, infrastructure and services in the European Open Science Cloud (EOSC), Next generation metrics, altmetrics and rewards, the future of scientific communication, research integrity and reproducibility, education and skills and citizen science. Open Science Infrastructure is also one of four key components of Open Science defined by UNESCO.

Mainly represented among Open Science Infrastructures are institutional and thematic repositories for publications, research data, software and code. Furthermore, the Open Science Infrastructure services range may include discovery, mining, publishing, the peer review process, archiving and preservation, social networking tools, training, high-performance computing, and tools for processing and analysis. Successful Open Science Infrastructure should be based on community values and responsive to needed changes. Preferably the Open Science Infrastructure should be distributed, enabling machine-actionable tools and services, supporting reusability and reproducibility, quality FAIR data, interoperability, sustainability, long-term preservation and funding.

https://doi.org/10.7557/5.6777

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"Why Don’t We Share Data and Code? Perceived Barriers and Benefits to Public Archiving Practices"


Here, we define, categorize and discuss barriers to data and code sharing that are relevant to many research fields. We explore how real and perceived barriers might be overcome or reframed in the light of the benefits relative to costs. By elucidating these barriers and the contexts in which they arise, we can take steps to mitigate them and align our actions with the goals of open science, both as individual scientists and as a scientific community.

https://doi.org/10.1098/rspb.2022.1113

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"Reducing Barriers to Open Science by Standardizing Practices and Realigning Incentives"


In this policy position paper, we outline current open science practices and key bottlenecks in their broader adoption. We propose that national science agencies create a digital infrastructure framework that would standardize open science principles and make them actionable. We also suggest ways of redefining research success to align better with open science, and to incentivize a system where sharing various research outputs is beneficial to researchers.

https://doi.org/10.38126/JSPG210201

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"Data Quality Assurance at Research Data Repositories"


This paper presents findings from a survey on the status quo of data quality assurance practices at research data repositories.

The personalised online survey was conducted among repositories indexed in re3data in 2021. It covered the scope of the repository, types of data quality assessment, quality criteria, responsibilities, details of the review process, and data quality information and yielded 332 complete responses.

The results demonstrate that most repositories perform data quality assurance measures, and overall, research data repositories significantly contribute to data quality. Quality assurance at research data repositories is multifaceted and nonlinear, and although there are some common patterns, individual approaches to ensuring data quality are diverse. The survey showed that data quality assurance sets high expectations for repositories and requires a lot of resources. Several challenges were discovered: for example, the adequate recognition of the contribution of data reviewers and repositories, the path dependence of data review on review processes for text publications, and the lack of data quality information. The study could not confirm that the certification status of a repository is a clear indicator of whether a repository conducts in-depth quality assurance.

http://doi.org/10.5334/dsj-2022-018

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Paywall: "A Comprehensive Review of Open Data Platforms, Prevalent Technologies, and Functionalities"


We will discuss seven major open data platforms, such as (1) CKAN (2) DKAN (3) Socrata (4) OpenDataSoft (5) GitHub (6) Google datasets (7) Kaggle. We will evaluate the technological commons, techniques, features, methods, and visualization offered by each tool. In addition, why are these platforms important to users such as providers, curators, and end-users? And what are the key options available on these platforms to publish open data?

https://doi.org/10.1145/3560107.3560142

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"Producing Open Data"


Mainly building on our own experience as scholars from different research traditions (life sciences, social sciences and humanities), we describe best-practice approaches for opening up research data. We reflect on common barriers and strategies to overcome them, condensed into a step-by-step guide focused on actionable advice in order to mitigate the costs and promote the benefit of open data on three levels at once: society, the disciplines and individual researchers.

https://doi.org/10.3897/rio.8.e86384

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Open Source "Academic Tracker: Software for Tracking and Reporting Publications Associated with Authors and Grants"


In recent years, United States federal funding agencies, including the National Institutes of Health (NIH) and the National Science Foundation (NSF), have implemented public access policies to make research supported by funding from these federal agencies freely available to the public. Enforcement is primarily through annual and final reports submitted to these funding agencies, where all peer-reviewed publications must be registered through the appropriate mechanism as required by the specific federal funding agency. Unreported and/or incorrectly reported papers can result in delayed acceptance of annual and final reports and even funding delays for current and new research grants. So, it’s important to make sure every peer-reviewed publication is reported properly and in a timely manner. For large collaborative research efforts, the tracking and proper registration of peer-reviewed publications along with generation of accurate annual and final reports can create a large administrative burden. With large collaborative teams, it is easy for these administrative tasks to be overlooked, forgotten, or lost in the shuffle. In order to help with this reporting burden, we have developed the Academic Tracker software package, implemented in the Python 3 programming language and supporting Linux, Windows, and Mac operating systems. Academic Tracker helps with publication tracking and reporting by comprehensively searching major peer-reviewed publication tracking web portals, including PubMed, Crossref, ORCID, and Google Scholar, given a list of authors. Academic Tracker provides highly customizable reporting templates so information about the resulting publications is easily transformed into appropriate formats for tracking and reporting purposes. The source code and extensive documentation is hosted on GitHub (https://moseleybioinformaticslab.github.io/academic_tracker/) and is also available on the Python Package Index (https://pypi.org/project/academic_tracker) for easy installation.

https://doi.org/10.1371/journal.pone.0277834

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"Nature Authors Can Now Seamlessly Share Their Data"


In April of this year, Springer Nature and Figshare announced a new integrated route for data deposition at Nature Portfolio titles to help address this problem and encourage researchers to share data rather than seeing it as a hurdle to article publication.

Following the success of the pilot, this streamlined integration is now being extended. Authors submitting to the Nature Portfolio journals, including Nature, in the fields of life, health, chemical and physical sciences will now be able to easily opt into data sharing, via Figshare, as part of one integrated submission process.

https://cutt.ly/RMTKcpo

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"Research Data Management Needs Assessment of Clemson University"


The faculty, staff, and graduate students at Clemson University were surveyed by the library about their RDM needs in the spring of 2021. The survey was based on previous surveys from 2012 and 2016 to allow for comparison, but language was updated, and additional questions were added because the field of RDM has evolved. Survey findings indicated that researchers are overall more likely to back up and share their data, but the process of cleaning and preparing the data for sharing was an obstacle. Few researchers reported including metadata when sharing or consulting the library for help with writing a Data Management Plan (DMP). Researchers want RDM resources; offering and effectively marketing those resources will enable libraries to both support researchers and encourage best practices. Understanding researcher needs and offering time-saving services and convenient training options makes following RDM best practices easier for researchers. Outreach and integrated partnerships that support the research life cycle are crucial next steps for ensuring effective data management.

https://doi.org/10.31274/jlsc.13970

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Data Primer: Making Digital Humanities Research Data Public


This Data Primer was collaboratively authored by over 30 Digital Humanities researchers and research assistants, and was peer-reviewed by data professionals. It serves as an overview of the different aspects of data curation and management best practices for digital humanities researchers. Endorsed by the National Training Expert Group of the Digital Research Alliance of Canada.

https://cutt.ly/8MhHFnO

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"The Rise of Open Access Journals in Radiation Oncology: Influence on Resident Research, 2015 – 2019"


The residents in this study published 2,637 first-author, PubMed-searchable manuscripts, 555 (21.0%) of which appeared in 138 OA journals. The number of publications in OA journals per resident increased from 0.47 for the class of 2015 to 0.79 for the class of 2019. Publications in OA journals garnered fewer citations than those in non-OA journals (8.9 versus 14.9, p < 0.01). 90.6% of OA journals levy an APC for original research reports (median $1,896), which is positively correlated with their 2019 impact factor (r = 0.63, p < 0.01). Aggregate APCs totaled $900,319.21 and appeared to increase over the study period.

https://doi.org/10.1016/j.adro.2022.101121

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"NLM Toolkit for the NIH Data Management and Sharing Policy"


A selection of guides, toolkits, and other resources for librarians working on addressing the NIH Data Management and Sharing Policy.

https://cutt.ly/iMyXCLp

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Microsoft, GitHub, and OpenAI Sued: "The Lawsuit That Could Rewrite the Rules of AI Copyright"


Microsoft, its subsidiary GitHub, and its business partner OpenAI have been targeted in a proposed class action lawsuit alleging that the companies’ creation of AI-powered coding assistant GitHub Copilot relies on "software piracy on an unprecedented scale". . . .Copilot, which was unveiled by Microsoft-owned GitHub in June 2021, is trained on public repositories of code scraped from the web, many of which are published with licenses that require anyone reusing the code to credit its creators. Copilot has been found to regurgitate long sections of licensed code without providing credit—prompting this lawsuit that accuses the companies of violating copyright law on a massive scale.

https://cutt.ly/FMwC4mR

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"Scholarly Communication Competencies: An Analysis of Confidence among Australasia Library Staff"


Through a nationwide survey of universities and research organizations in Australia and New Zealand, this article investigates the level of confidence that librarians working in scholarly communication have in their current competencies. The results show that, while respondents were generally confident across seven competency areas (institutional repository management, publishing services, research practice, copyright services, open access policies and scholarly communication landscape, data management services, and assessment and impact metrics), the majority combined their scholarly communication tasks with other roles.

https://doi.org/10.5860/crl.83.6.966

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Australia: "Chief Scientist Plan for Free Research Access for All"


The nation’s chief scientist will this year recommend to government a radical departure from the way research is distributed in Australia, proposing a world-first model that shakes up the multi-billion-dollar publishing business so Australian readers don’t pay a cent. . . .The model goes much further than open access schemes in the US and Europe by including existing research libraries and has been designed specifically for Australia’s own challenges.

https://cutt.ly/UNBM1Cy

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"Who Writes Scholarly Code?"


This paper presents original research about the behaviours, histories, demographics, and motivations of scholars who code, specifically how they interact with version control systems locally and on the Web. By understanding patrons through multiple lenses—daily productivity habits, motivations, and scholarly needs—librarians and archivists can tailor services for software management, curation, and long-term reuse, raising the possibility for long-term reproducibility of a multitude of scholarship.

http://www.ijdc.net/article/view/839

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"Finding Your Way in Academic Librarianship: Introducing the Scholarly Communication Notebook"


The SCN (https://www.oercommons.org/hubs/SCN) is an extension of an earlier, related, effort to create an open textbook about scholarly communication librarianship. That book, Scholarly Communication Librarianship and Open Knowledge, is forthcoming from ACRL in 2023. . . . Even if openly licensed, a book remains a relatively static resource. Scholarly communication is not static at all. Far from it, as many will attest and recognize through hard-won experience. Our contribution is the SCN, an online collection of contributed, modular, open content scoped to scholarly communication topics, which might complement the book or find use independent of it.

https://doi.org/10.5860/crln.83.10.444

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"Data Platforms for Open Life Sciences – A Systematic Analysis of Management Instruments"


Open data platforms are interfaces between data demand of and supply from their users. Yet, data platform providers frequently struggle to aggregate data to suit their users’ needs and to establish a high intensity of data exchange in a collaborative environment. Here, using open life science data platforms as an example for a diverse data structure, we systematically categorize these platforms based on their technology intermediation and the range of domains they cover to derive general and specific success factors for their management instruments. Our qualitative content analysis is based on 39 in-depth interviews with experts employed by data platforms and external stakeholders. We thus complement peer initiatives which focus solely on data quality, by additionally highlighting the data platforms’ role to enable data utilization for innovative output. Based on our analysis, we propose a clearly structured and detailed guideline for seven management instruments. This guideline helps to establish and operationalize data platforms and to best exploit the data provided. Our findings support further exploitation of the open innovation potential in the life sciences and beyond.

https://doi.org/10.1371/journal.pone.0276204

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ARL: "Two-Page Table Compares 2013 and 2022 Public-Access Guidance from US Office of Science and Technology Policy"


In an effort to highlight the significant differences between the 2013 [OSTP] memorandum and the 2022 guidance, the Association of Research Libraries (ARL) has published a comparison table of the two documents. This table breaks down the 2013 and 2022 OSTP public-access guidance into sections for a quick side-by-side comparison of 10 key components, including embargo period, data policies, formats, and metadata expectations.

https://cutt.ly/jNm0OeT

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"Impact of the 2022 OSTP Memo: A Bibliometric Analysis of U.S. Federally Funded Publications, 2017-2021"


Therefore, this study seeks to more deeply investigate the characteristics of U.S. federally funded research over a 5-year period from 2017-2021 to better understand the updated guidance’s impact. It uses a manually created custom filter in the Dimensions database to return only publications that arise from U.S. federal funding. Results show that an average of 265,000 articles were published each year that acknowledge U.S. federal funding agencies, and these research outputs are further examined by publisher, journal title, institutions, and Open Access status.

https://arxiv.org/abs/2210.14871

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Read Only: "Data Paper as a Reward? Motivation, Consideration, and Perspective behind Data Paper Submission"


Data papers, as one of the channels to encourage researchers to open up research data under the open science movement, are expected to provide strong incentives through formal citations. . . . This study examines researchers’ motivations, and considerations for data paper submission, as well as their perspectives on this scholarly publication. . . . Although the academic community widely recognizes the benefits of publishing data papers, some still cast a doubtful eye on its academic value and impact.

https://doi.org/10.1002/pra2.648

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"The Interdependence of Data Producers and Data Users: How Researchers’ Behaviors Can Support or Hinder Each Other"


Sharing and reusing data is widely viewed as advancing knowledge, but researchers often view it as a burdensome and time-consuming process. We sought to identify specific research practices that have the potential to decrease burden and increase benefits for researchers from any discipline while retaining the broad scholarly benefits, complementing investigations that have identified approaches and standards within specific fields. We conducted a literature search and engaged in qualitative interviews with 20 academic researchers who had diverse disciplinary backgrounds and experience sharing and/or reusing publicly accessible data. The connection points between data producers and data users throughout the data sharing and reuse cycle indicate that sharing and reusing data is an interdependent process, meaning producers and users depend on each other to achieve their respective goals successfully and efficiently. For example, data producers can simplify and ease the user’s work of finding data by posting on a visible repository or directly linking to their data in publications. Relatedly, data users who perceive the linked nature of reuse can simplify the producer’s ability to track impact of the data and facilitate the reward and credit the producer receives by citing the data products in publications. We highlight areas of interdependencies throughout the research process and provide recommendations for data producers and users to make their sharing and reuse practices, respectively, more efficient. We also recommend practices to reduce burden for producers, who bear the initial effort in preparing data properly for reuse. Because many of our participants did not consider the downstream success and impact of their data and the researchers who produce and use data, we call for increased awareness of the interconnections between producers and users as an important step to reduce burden and increase the effectiveness of data sharing and reuse.

https://doi.org/10.31222/osf.io/yp3ct

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"Guest Post – The Door to Data Sharing is Slowly Creaking Open "


Looking to the future, it is interesting to dive deeper into researchers’ perceived incentives for sharing data. Overall, just 19% of respondents believed that researchers get sufficient credit for sharing data, while fully three-quarters indicated they receive too little credit. Those who report more ingrained behaviors to sharing their research data openly were more likely to agree that researchers get sufficient credit for sharing data – for example 40% of those who share their data immediately on collection believe that researchers get sufficient credit – however they are still in the minority.

https://cutt.ly/8BKwneK

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"Overlay Journals: A Study of the Current Landscape"


Overlay journals are characterised by their articles being published on open access repositories, often already starting in their initial preprint form as a prerequisite for submission to the journal prior to initiating the peer-review process. In this study we aimed to identify currently active overlay journals and examine their characteristics. We utilised an explorative web search and contacted key service providers for additional information. . . . They may also rank highly within the traditional journal citation metrics. None of the investigated journals required fees from authors, which is likely related to the cost-effective aspects of the overlay publishing model.

https://doi.org/10.1177/09610006221125208

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"Introducing the FAIR Principles for Research Software"


The FAIR for Research Software (FAIR4RS) Working Group has adapted the FAIR Guiding Principles to create the FAIR Principles for Research Software (FAIR4RS Principles). The contents and context of the FAIR4RS Principles are summarised here to provide the basis for discussion of their adoption. Examples of implementation by organisations are provided to share information on how to maximise the value of research outputs, and to encourage others to amplify the importance and impact of this work.

https://doi.org/10.1038/s41597-022-01710-x

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