Category Archives: oa.apis

Welcome! – OpenAlex documentation

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“OpenAlex is a fully open catalog of the global research system. It’s named after the ancient Library of Alexandria.

The OpenAlex dataset describes scholarly entities and how those entities are connected to each other. There are five types of entities:

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Works are papers, books, datasets, etc; they cite other works

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Authors are people who create works

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Venues are journals and repositories that host works

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Institutions are universities and other orgs that are affiliated with works (via authors)

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Concepts tag Works with a topic

Together, these make a huge web (or more technically, heterogeneous directed graph) of of hundreds of millions of entities and over a billion connections between them all….”

An open repository of real-time COVID-19 indicators | PNAS

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Abstract:  The COVID-19 pandemic presented enormous data challenges in the United States. Policy makers, epidemiological modelers, and health researchers all require up-to-date data on the pandemic and relevant public behavior, ideally at fine spatial and temporal resolution. The COVIDcast API is our attempt to fill this need: Operational since April 2020, it provides open access to both traditional public health surveillance signals (cases, deaths, and hospitalizations) and many auxiliary indicators of COVID-19 activity, such as signals extracted from deidentified medical claims data, massive online surveys, cell phone mobility data, and internet search trends. These are available at a fine geographic resolution (mostly at the county level) and are updated daily. The COVIDcast API also tracks all revisions to historical data, allowing modelers to account for the frequent revisions and backfill that are common for many public health data sources. All of the data are available in a common format through the API and accompanying R and Python software packages. This paper describes the data sources and signals, and provides examples demonstrating that the auxiliary signals in the COVIDcast API present information relevant to tracking COVID activity, augmenting traditional public health reporting and empowering research and decision-making.

 

Partnership Announcement: Cypris and CORE

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“We’re delighted to announce a new partnership between CORE and Cypris, a leading AI-driven, market intelligence platform that connects research & development (R&D) teams with innovation data and trends in their field.

The partnership will provide Cypris with unlimited access to over 210 million open access articles to further enhance their platform and regularly add live market data to provide R&D teams with the most up-to-date research in their fields of interest….”

Three lessons I learned from building Spark – a new (open access) discovery extension

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“After over five years of work around scholarly communication, I have to say that this field never ceases to impress me. If you look away for a minute, you’ll be welcomed back by all sorts of developments, including shifting cultures, new funding models, emerging practices and new software solutions. This summer, I thought I would start a project to experiment with the tech side of scholarly communication – particularly, I wanted to create a browser extension focusing on the pain points of researchers.

My summer adventure started in June, when I sat in front of my screen with no idea how browser extensions even worked. Today, I am proud to say that Spark, the fruit of my coding experiments, has been approved in the Chrome Web Store. In this article, I share three lessons I learned during this fun yet challenging experience….”

Release of DSpace 7.0

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“DSpace 7.0 is the largest release in the history of DSpace software. This release introduces a brand new (Angular-base) User Interface, which brings together the best of both the JSPUI and XMLUI worlds. All the features you’ve come to expect from DSpace are re-imagined and re-implemented. This new UI is also backed by a brand new REST API, which opens all data and features to the web, allowing DSpace to integrate or interact with external systems/services like never before….”

Some rip-RORing news for affiliation metadata – Crossref

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“We’ve just added to our input schema the ability to include affiliation information using ROR identifiers. Members who register content using XML can now include ROR IDs, and we’ll add the capability to our manual content registration tools, participation dashboards, and metadata retrieval APIs in the near future. And we are inviting members to a Crossref/ROR webinar on 29th September at 3pm UTC.”

APIv3: Announcing a new API to access CORE data – Research

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“Since the start (10 years ago!) CORE’s mission has been to aggregate and facilitate access to open access scientific research at an unprecedented scale to both humans and machines. To achieve this aim, we are always refining and improving our methods for access and use of the CORE data. …

We are now delighted to bring our users further developments to the CORE services and announce the new CORE APIv3. The full details of the new API can be found in the documentation and you can register for a key in this URL. 

 

Below is  a quick overview of the new features in APIv3….”

PIDapa-party-pooper: PIDs are a dead end; long live open infrastructure – YouTube

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“PIDapa-party-pooper: PIDs are a dead end; long live open infrastructure” was presented by Ed Pentz. As a community, we have started so many initiatives centered around the need for PIDs, or how PIDs should be connected or governed, that PIDs are presented as ends in themselves. As a co-founder of PIDapalooza, these were important discussions back in 2016. But the message simply has to move on. PIDs are pointless without accompanying metadata, assertions, relationships, and associated services – at a minimum, robust APIs for getting the metadata. By talking exclusively about PIDs, and “minting” PIDs, we have inadvertently imbued the identifier strings themselves with talismanic, magical properties – an elixir that cures all. We need to re-focus our attention and talk about how open scholarly infrastructure enables open research and human knowledge….”

We’re building a replacement for Microsoft Academic Graph – Our Research blog

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“This week Microsoft Research announced that their free bibliographic database–Microsoft Academic Graph, or MAG for short–is being discontinued. This is sad news, because MAG was a great source of open scholcomm metadata, including citation counts and author affiliations. MAG data is used in Unsub, as well as several other well-known open science tools.

Thankfully, we’ve got a contingency plan for this situation, which we’ve been working on for a while now. We’re building a successor to MAG. Like all our projects, it’ll be open-source and the data will be free to everyone via data dump and API. It will launch at the end of the year, when MAG is scheduled to disappear.

It’s important to note that this new service will not be a perfect replacement, especially right when it launches. MAG has excellent support for conference proceedings, for example; we won’t match that for a while, if ever.  Instead, we’ll be focusing on supporting the most important use-cases, and building out from there. If you use MAG today, we’d love to hear what your key use-cases are, so we can prioritize accordingly. Here’s where you can tell us.

We plan to have this launched by the time MAG disappears at year’s end. That’s an aggressive schedule, but we’ve built and launched other large projects (Unpaywall, Unsub) in less time. We’ve also got a good head start, since we’ve been working toward this as an internal project for a while now….”

Search Scholarly Materials Preserved in the Internet Archive – Internet Archive Blogs

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“IA Scholar is a simple, access-oriented interface to content identified across several Internet Archive collections, including web archives, archive.org files, and digitized print materials. The full text of articles is searchable for users that are hunting for particular phrases or keywords. This complements our existing full-text search index of millions of digitized books and other documents on archive.org.

The service builds on Fatcat, an open catalog we have developed to identify at-risk and web-published open scholarly outputs that can benefit from long-term preservation, additional metadata, and perpetual access. Fatcat includes resources that may be useful to librarians and archivists, such as bulk metadata dumps, a read/write API, command-line tool, and file-level archival metadata. If you are interested in collaborating with us, or are a researcher interested in text analysis applications, we have a public chat channel or can be contacted by email at info@archive.org.

IA Scholar marks a milestone in our work initiated in 2018 to leverage the automation and scale of web and API harvesting in providing open infrastructure for the preservation of and perpetual access to scholarly materials from the public web. We particularly want to thank the Mellon Foundation for their original and ongoing support of this work, our many current partners, and the other collaborators, contributors, and volunteers.

All of this is possible because of the incredible open research ecosystem built and collectively maintained by Open Access advocates. Thank you to the DOAJ and other groups for helping catalog open access journals which has aided preservation. Thank you to the Biodiversity Heritage Library and its supporters for digitizing print journal literature. And thank you to the many other organizations we have worked with, integrated, or whose services we have utilized, including open web indices (Unpaywall, CORE, CiteseerX, Microsoft Academic, Semantic Scholar), directories of open journals (DOAJ, ROAD SHERPA/ROMEO, JURN, Wikidata), and open bibliographic catalogs (Crossref, Datacite, J-STAGE, Pubmed, dblp). 

IA Scholar is built from open source software components, and is itself released as Free Software. The website has been translated into eight languages (so far!) by generous volunteers….”

Thoth

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“Thoth (/?o??, to?t/, Greek ??? < Coptic ????? < Egyptian ??wtj) is an Open Dissemination System for Open Access books. Written purely in rust, it consists of:

A GraphQL API, implementing a data model specifically designed for OA books
An actions API to export metadata in formats like ONIX, MARC, etc.
A WebAssembly GUI to manage metadata records….”