Category: Scholarly Journals

Will SUNY “Follow the Lead of UC”?: "Resolution: Support for SUNY Negotiations for a Fair and Reasonable Contract with Elsevier"

https://t.co/2ar7VlxFMD

BE IT FURTHER RESOLVED that UFS recommends and requests that if Elsevier does not negotiate a contract that is deemed fair and reasonable by SUNY negotiators, the Chancellor direct the SUNY negotiators to follow the lead of UC and the aforementioned European universities and not enter into a new contract with Elsevier, and instead pursue alternative means with campus presidents to access scholarly works that are critical to the learning, teaching, and research of the SUNY community;

"The History and Future of Data Citation in Practice"

Mark A. Parsons et al. have published "The History and Future of Data Citation in Practice" in Data Science Journal.

Here's an excerpt:

In this review, we adopt the definition that 'Data citation is a reference to data for the purpose of credit attribution and facilitation of access to the data' (TGDCSP 2013: CIDCR6). Furthermore, access should be enabled for both humans and machines (DCSG 2014). We use this to discuss how data citation has evolved over the last couple of decades and to highlight issues that need more research and attention.

Data citation is not a new concept, but it has changed and evolved considerably since the beginning of the digital age. Basic practice is now established and slowly but increasingly being implemented. Nonetheless, critical issues remain. These issues are primarily because we try to address multiple human and computational concerns with a system originally designed in a non-digital world for more limited use cases. The community is beginning to challenge past assumptions, separate the multiple concerns (credit, access, reference, provenance, impact, etc.), and apply different approaches for different use cases.

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"Practice Meets Principle: Tracking Software and Data Citations to Zenodo DOIs"

Stephanie van de Sandt et al. have self-archived "Practice Meets Principle: Tracking Software and Data Citations to Zenodo DOIs."

Here's an excerpt:

Data and software citations are crucial for the transparency of research results and for the transmission of credit. But they are hard to track, because of the absence of a common citation standard. As a consequence, the FORCE11 recently proposed data and software citation principles as guidance for authors. Zenodo is recognized for the implementation of DOIs for software on a large scale. The minting of complementary DOIs for the version and concept allows measuring the impact of dynamic software. This article investigates characteristics of 5,456 citations to Zenodo data and software that were captured by the Asclepias Broker in January 2019. We analyzed the current state of data and software citation practices and the quality of software citation recommendations with regard to the impact of recent standardization efforts. Our findings prove that current citation practices and recommendations do not match proposed citation standards. We consequently suggest practical first steps towards the implementation of the software citation principles.

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Recommendations of the Ad Hoc Task Force on Open Access to MIT’s Research

MIT has released "Recommendations of the Ad Hoc Task Force on Open Access to MIT's Research."

Here's an excerpt:

The recommendations include ratifying an Institute-wide set of principles for open science and open scholarship, which affirm MIT's larger commitment to the idea that scholarship and its dissemination should remain in the hands of researchers and their institutions. The MIT Libraries are working with the task force and the Committee on the Library System to develop a framework for negotiations with publishers based on these principles.

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"The NIH Open Citation Collection: A Public Access, Broad Coverage Resource"

B. Ian Hutchins et al.have published "The NIH Open Citation Collection: A Public Access, Broad Coverage Resource" in PLoS Biology.

Here's an excerpt:

Citation data have remained hidden behind proprietary, restrictive licensing agreements, which raises barriers to entry for analysts wishing to use the data, increases the expense of performing large-scale analyses, and reduces the robustness and reproducibility of the conclusions. For the past several years, the National Institutes of Health (NIH) Office of Portfolio Analysis (OPA) has been aggregating and enhancing citation data that can be shared publicly. Here, we describe the NIH Open Citation Collection (NIH-OCC), a public access database for biomedical research that is made freely available to the community. This dataset, which has been carefully generated from unrestricted data sources such as MedLine, PubMed Central (PMC), and CrossRef, now underlies the citation statistics delivered in the NIH iCite analytic platform. We have also included data from a machine learning pipeline that identifies, extracts, resolves, and disambiguates references from full-text articles available on the internet. Open citation links are available to the public in a major update of iCite (https://icite.od.nih.gov).

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Open Scholarship and the Need for Collective Action

Cameron Neylon et al. have self-archived Open Scholarship and the Need for Collective Action.

Here's an excerpt:

The book aims to increase understanding of the challenges to make scholarship more open. It addresses various perspectives offered by KE's Open Scholarship Framework, combining levels (micro, meso and macro-level actors), arenas (political, economic, social, technical) and research phases (discovery, planning, project phase, dissemination).

Research Data Curation Bibliography, Version 10 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap