“The National Archives Catalog recently surpassed two million pages of records enhanced with tags, transcriptions, and comments, thanks to the record-breaking efforts of citizen archivists, as well as agency employees working from home.
This was the second major milestone in a year for the Citizen Archivist project, which began in 2014. Enhancements reached one million on August 10, 2020, and two million on June 1, 2021.
“After pursuing and achieving the goal of enhancing one million records over several years, we were stunned to surpass the two million records enhanced mark in only 10 months,” said Pamela Wright, the agency’s Chief Innovation Officer. “Citizen archivists and NARA staff have been working hard to make the public’s records more accessible to users, and achieving this milestone so quickly is a testament to their dedication.”
Citizen Archivists contribute to records by tagging them, making comments, or transcribing documents to make searching easier and allow more members of the public to find documents relevant to their research. (Read more about how keywords help researchers in the NARAtions blog.) The Citizen Archivist team prepares “missions” for contributors to work on, focusing the momentum on particular groups of records at one time….”
Abstract: The ability to access chemical information openly is an essential part of many scientific disciplines. The Journal of Cheminformatics is leading the way for rigorous, open cheminformatics in many ways, but there remains room for improvement in primary areas. This letter discusses how both authors and the journal alike can help increase the FAIRness (Findability, Accessibility, Interoperability, Reusability) of the chemical structural information in the journal. A proposed chemical structure template can serve as an interoperable Additional File format (already accessible), made more findable by linking the DOI of this data file to the article DOI metadata, supporting further reuse.
Finding and Using the Good Stuff : Open Educational Practices for Developing Open Educational Resources by Christian Hilchey
part of book: Open Education and Second Language Learning and Teaching (Feb. 2021, De Gruyter)
Abstract: “Open educational resources (OER) are the concrete products of various open educational practices (OEP). As such, OER are typically more visible and better understood than OEP. Thus, the goal of this chapter is to make the hidden, tacit knowledge of OEP more apparent to L2 specialists who may wish to design their own OER. In particular, this chapter seeks to describe and demonstrate two OEP that are central to the development of OER: (1) how to find high-quality open content; and (2) how to adapt open content for the creation of user-generated materials. The chapter begins by demonstrating effective methods for finding rich and usable open media. This section summarizes the a ordances of different search engines and media repositories (e.g. Google, Flickr, Forvo, Pixabay, YouTube, Vimeo). Next, useful strategies for developing elements of a language curriculum based on openly licensed content are described. The chapter ends with a discussion of the pros and cons of technologies for the creation of OER content….
this chapter describes the various OEP that I learned through trial and error during the development of Reality Czech, an OER developed at the University of Texas at Austin under the auspices of the Center for Open Educational Resources and Language Learning (COERLL)….”
“DOAB, a central discovery service for open access books, is pleased to introduce a new partnership with SciELO. Through this new initiative, SciELO Books becomes part of a group of several trusted platforms to enhance the discoverability of open access books and create a more seamless process for publishers to list their open access books in DOAB….”
“Preprints enable researchers to rapidly share their work publicly before the formal peer review process. In this webinar you will learn more about preprints and their benefits for the research community from ASAPbio (Accelerating Science and Publication in biology); will hear an author’s perspective on posting preprints from Sumeet Pal Singh, a group leader at IRIBHM, ULB; and will find out how to incorporate preprints in your literature search routine by using the preprint discovery tools developed by Europe PMC….”
Abstract: A retrospective observational study was conducted to evaluate open-access journals in obstetrics and gynaecology, published between 2011 and 2019. Journals were classified based on their registration in open-access journal directories. Of 176 journals, 47 were not registered. Journals registered in the Directory of Open Access Journals (DOAJ) demonstrated good overall quality, and their journal metrics were significantly higher than those of non-registered journals or journals registered in other directories. The lack of editor names and indexing information on a journal’s website are the most distinctive features of non-registered journals. Non-registration in an open-access journal directory indicates a lack of transparency and may ultimately indicate that a journal is predatory.
“This wiki introduces a scoring system to evaluate publishers’ practices through the values of higher education, libraries, and learned societies. In this provisional scoring system, tentatively called Publishers Acting as Partners with Public Institutions of Higher Education & Land-grant Universities (PAPPIHELU, hereafter referred to as PAPPI), partners are publishers that focus on empowering researchers and scholars and also the institutions of higher education that support them. They see faculty, students, and institutions of higher education as essential partners, not customers, and emphasize the rights of content creators and disciplinary experts in the publishing process. PAPPI criteria evaluate how well a publisher’s practices are in synchronization with the common worldview and ethic of public and land-grant institutions of higher education and their libraries….
Credit is determined by a publisher’s score in the following main categories:
Article Processing Charges
Other Innovations …”
“The Covid-19 pandemic has triggered an explosion of knowledge, with more than 200,000 papers published to date. At one point last year, scientific output on the topic was doubling every 20 days. This huge growth poses big challenges for researchers, many of whom have pivoted to coronavirus research without experience or preparation.
Mainstream academic search engines are not built for such a situation. Tools such as Google Scholar, Scopus and Web of Science provide long, unstructured lists of results with little context.
These work well if you know what you are looking for. But for anyone diving into an unknown field, it can take weeks, even months, to identify the most important topics, publication venues and authors. This is far too long in a public health emergency.
The result has been delays, duplicated work, and problems with identifying reliable findings. This lack of tools to provide a quick overview of research results and evaluate them correctly has created a crisis in discoverability itself. …
Building on these, meta-aggregators such as Base, Core and OpenAIRE have begun to rival and in some cases outperform the proprietary search engines. …”
Abstract: Sci-Hub, founded by Alexandra Elbakyan in 2011 in Kazakhstan has, over the years, emerged as a very popular source for researchers to download scientific papers. It is believed that Sci-Hub contains more than 76 million academic articles. However, recently three foreign academic publishers (Elsevier, Wiley and American Chemical Society) have filed a lawsuit against Sci-Hub and LibGen before the Delhi High Court and prayed for complete blocking these websites in India. It is in this context, that this paper attempts to find out how many Indian research papers are available in Sci-Hub and who downloads them. The citation advantage of Indian research papers available on Sci-Hub is analysed, with results confirming that such an advantage do exist.
“Leading research communication platforms Research Square and Kudos have partnered to help preprint authors accelerate and maximize exposure of their newly shared research. A new package of communication products and services, launched today, will create and disseminate web profile pages for authors’ new research. …”
Abstract: Preprints promote the open and fast communication of non-peer reviewed work. Once a preprint is published in a peer-reviewed venue, the preprint server updates its web page: a prominent hyperlink leading to the newly published work is added. Linking preprints to publications is of utmost importance as it provides readers with the latest version of a now certified work. Yet leading preprint servers fail to identify all existing preprint–publication links. This limitation calls for a more thorough approach to this critical information retrieval task: overlooking published evidence translates into partial and even inaccurate systematic reviews on health-related issues, for instance. We designed an algorithm leveraging the Crossref public and free source of bibliographic metadata to comb the literature for preprint–publication links. We tested it on a reference preprint set identified and curated for a living systematic review on interventions for preventing and treating COVID-19 performed by international collaboration: the COVID-NMA initiative (covid-nma.com). The reference set comprised 343 preprints, 121 of which appeared as a publication in a peer-reviewed journal. While the preprint servers identified 39.7% of the preprint–publication links, our linker identified 90.9% of the expected links with no clues taken from the preprint servers. The accuracy of the proposed linker is 91.5% on this reference set, with 90.9% sensitivity and 91.9% specificity. This is a 16.26% increase in accuracy compared to that of preprint servers. We release this software as supplementary material to foster its integration into preprint servers’ workflows and enhance a daily preprint–publication chase that is useful to all readers, including systematic reviewers. This preprint–publication linker currently provides day-to-day updates to the biomedical experts of the COVID-NMA initiative.
Microsoft Academic Website: No longer accessible after Dec. 31, 2020,
Microsoft Academic Graph: No longer providing updated data or access to old releases after Dec. 31, 2021; however, existing copies can still be used under license.
Microsoft Academic has been on a mission to explore new ways to empower researchers and research organizations to achieve more. The research project is characterized by two sets of technologies: one that reads all the Bing-indexed web pages and organizes the most up-to-date academic knowledge into a knowledge base called Microsoft Academic Graph (MAG), and the other that performs semantic reasoning and inference to serve that knowledge through the Microsoft Academic search website and API. We are proud that these data and web services have been found useful in numerous research projects around the world, and excited to see more community-driven, public efforts emerge.
One question that we are asked frequently, though, is how the technologies powering Microsoft Academic can be used by institutions outside of academia to make organizational knowledge more discoverable and accessible. Over the years, we have openly shared some of the building blocks, such as the language and network similarity packages, and the core search engine MAKES. With the continued progress in data access, we believe now is the right time to fully explore opportunities to extend this technology to new industries and transition to community approaches for academic research.
Microsoft Research will continue to support the automated AI agents powering Microsoft Academic services through the end of calendar year 2021. During this time, we encourage existing Microsoft Academic users to begin transitioning to other equivalent services. Below are just a few of the many great options available to the community.
Thank you very much for the years of support and encouragement. We are immensely grateful to have learned and grown from your feedback over the years. As we are passing the torch to the community-driven efforts, we invite you to join us in continuously contributing ideas and suggestions to nurture, embrace, and grow these platforms.
Abstract: DataONE, funded from 2009-2019 by the U.S. National Science Foundation, is an early example of a large-scale project that built both a cyberinfrastructure and culture of data discovery, sharing, and reuse. DataONE used a Working Group model, where a diverse group of participants collaborated on targeted research and development activities to achieve broader project goals. This article summarizes the work carried out by two of DataONE’s working groups: Usability & Assessment (2009-2019) and Sociocultural Issues (2009-2014). The activities of these working groups provide a unique longitudinal look at how scientists, librarians, and other key stakeholders engaged in convergence research to identify and analyze practices around research data management through the development of boundary objects, an iterative assessment program, and reflection. Members of the working groups disseminated their findings widely in papers, presentations, and datasets, reaching international audiences through publications in 25 different journals and presentations to over 5,000 people at interdisciplinary venues. The working groups helped inform the DataONE cyberinfrastructure and influenced the evolving data management landscape. By studying working groups over time, the paper also presents lessons learned about the working group model for global large-scale projects that bring together participants from multiple disciplines and communities in convergence research.
“The DOAJ Seal is awarded to journals that demonstrate best practice in open access publishing. Around 10% of journals indexed in DOAJ have been awarded the Seal.
Journals do not need to meet the Seal criteria to be accepted into DOAJ.
There are seven criteria which a journal must meet to be eligible for the DOAJ Seal. These relate to best practice in long term preservation, use of persistent identifiers, discoverability, reuse policies and authors’ rights….”