“The Florida Open Academic Library provides a statewide searchable database that includes an inventory of digital archives and collections held by public postsecondary education institutions (§ F.S. 1006.73 (2)(a)4.). Through collaboration with Florida Academic Library Services Cooperative (FALSC) member libraries, we are pleased to bring you over one million unique and valuable resources to discover. Developed to include multiple platforms across our members, harvested content includes all collections contained in the Inventory of Digital Libraries and Collections Held by Florida Public Universities and State Colleges 2019 Update, all collections within FALSC hosted platforms (i.e. FL-Islandora, Florida OJ, Orange Grove), and identified OER collections (i.e. Open Textbook Library, Open Stax) held by Florida institutions….”
Category Archives: oa.search
Introducing the CC Search Browser Extension
This is part of a series of posts introducing the projects built by open source contributors mentored by Creative Commons during Google Summer of Code (GSoC) 2019. Mayank Nader was one of those contributors and we are grateful for his work on this project.
Creative Commons (CC) is working towards providing easy access to CC-licensed and public domain works. One significant step towards achieving that goal was the release of CC Search in 2019. Through this search and indexing tool, we’re making a plethora of CC-licensed images accessible in one place. As CC Search expands to include more than just images, CC is also developing a suite of applications and interfaces to help users across the world interact, consume, and reuse open access content.
The CC Search Browser Extension is one such application. This browser extension is an open-source, lightweight plugin that can be installed and used by anyone with an updated web browser.
Why did we create this browser extension?
Browsers are the gateway to the web, and users often install browser plugins to improve productivity and overall experience. With the CC Search Browser Extension, users can now search for CC-licensed images, download them, and attribute the owner/creator without needing to head over to Flickr, Behance, Rawpixel or any other source of CC-licensed content. The other great feature? The CC Search Browser Extension works across different browsers, providing a familiar and intuitive experience for all users.
Key features of the CC Search Browser Extension:
- Search and filter CC-licensed content
You can use the extension filters to filter the content by the source website, types of licenses, and/or use-case.
- One-click attribution
One condition of all CC licenses is attribution. Attributing the owner/creator of CC-licensed content found using the extension is easy with one-click attribution. Both the Rich-text and HTML versions of the attribution are available.
- Download images (and attribution)
Download the image to use it in your works through the extension itself. You can also download the attribution information as a text file along with the image; this can be helpful when downloading multiple images in a single session.
- Bookmark images
Bookmarking the images will save them in the extension. You can view and remove your bookmarks from the bookmarks section.
- Export and import bookmarks
As a user, you can easily archive and/or transfer your bookmarks. This feature makes sure that the process of archiving and transferring bookmarks is uncomplicated and straightforward.
- User-interface (UI) options available for custom settings
The extension also allows for setting default filters, etc. The “Options” page helps declutter the main popup of the extension, ensuring that it shows only the most necessary information. In the future, this “Options” page will also host additional and updated features.
- Sync your custom settings and bookmarks across devices
Chrome and Firefox have a built-in feature that syncs browser settings and preferences across your logged-in devices. The extension leverages this feature to sync your custom settings and bookmarks. This will make your experience more pleasant and familiar.
- Dark Mode
The extension also has a dark mode that you can toggle “on” by clicking the icon in the header. This reduces screen glare and battery consumption. You can set the dark mode as default in the “Options” page.
Future plans and development
- Find and fix bugs
- Add a review and feedback tab on the “Options” page
- Integrate Vocabulary into the extension
- Develop usability enhancements
- Remove infinite scrolling and replace it with pagination or voluntary loading
- Add search syntax for better specificity of results and a search syntax guide
- Make the code more modular and add more tests
- Port the features of the CC Search web application that are relevant in the context of the browser plugin
Installation
The latest version of the extension is available for installation via Mozilla Firefox, Google Chrome, and Opera.
Join the community
Community contribution and feedback is an essential part of the development process, so we encourage you to contact us if you have feedback or a specific suggestion. This is an open-source project, you can contribute in the form of bug reports, feature requests, or code contributions.
To install the development version of the extension, read the installation guide on Github.
Finally, come and tell us about your experience on the Creative Commons Slack via the slack channel: #cc-dev-browser-extension.
The post Introducing the CC Search Browser Extension appeared first on Creative Commons.
Introducing the CC Search Browser Extension
This is part of a series of posts introducing the projects built by open source contributors mentored by Creative Commons during Google Summer of Code (GSoC) 2019. Mayank Nader was one of those contributors and we are grateful for his work on this project.
Creative Commons (CC) is working towards providing easy access to CC-licensed and public domain works. One significant step towards achieving that goal was the release of CC Search in 2019. Through this search and indexing tool, we’re making a plethora of CC-licensed images accessible in one place. As CC Search expands to include more than just images, CC is also developing a suite of applications and interfaces to help users across the world interact, consume, and reuse open access content.
The CC Search Browser Extension is one such application. This browser extension is an open-source, lightweight plugin that can be installed and used by anyone with an updated web browser.
Why did we create this browser extension?
Browsers are the gateway to the web, and users often install browser plugins to improve productivity and overall experience. With the CC Search Browser Extension, users can now search for CC-licensed images, download them, and attribute the owner/creator without needing to head over to Flickr, Behance, Rawpixel or any other source of CC-licensed content. The other great feature? The CC Search Browser Extension works across different browsers, providing a familiar and intuitive experience for all users.
Key features of the CC Search Browser Extension:
- Search and filter CC-licensed content
You can use the extension filters to filter the content by the source website, types of licenses, and/or use-case.
- One-click attribution
One condition of all CC licenses is attribution. Attributing the owner/creator of CC-licensed content found using the extension is easy with one-click attribution. Both the Rich-text and HTML versions of the attribution are available.
- Download images (and attribution)
Download the image to use it in your works through the extension itself. You can also download the attribution information as a text file along with the image; this can be helpful when downloading multiple images in a single session.
- Bookmark images
Bookmarking the images will save them in the extension. You can view and remove your bookmarks from the bookmarks section.
- Export and import bookmarks
As a user, you can easily archive and/or transfer your bookmarks. This feature makes sure that the process of archiving and transferring bookmarks is uncomplicated and straightforward.
- User-interface (UI) options available for custom settings
The extension also allows for setting default filters, etc. The “Options” page helps declutter the main popup of the extension, ensuring that it shows only the most necessary information. In the future, this “Options” page will also host additional and updated features.
- Sync your custom settings and bookmarks across devices
Chrome and Firefox have a built-in feature that syncs browser settings and preferences across your logged-in devices. The extension leverages this feature to sync your custom settings and bookmarks. This will make your experience more pleasant and familiar.
- Dark Mode
The extension also has a dark mode that you can toggle “on” by clicking the icon in the header. This reduces screen glare and battery consumption. You can set the dark mode as default in the “Options” page.
Future plans and development
- Find and fix bugs
- Add a review and feedback tab on the “Options” page
- Integrate Vocabulary into the extension
- Develop usability enhancements
- Remove infinite scrolling and replace it with pagination or voluntary loading
- Add search syntax for better specificity of results and a search syntax guide
- Make the code more modular and add more tests
- Port the features of the CC Search web application that are relevant in the context of the browser plugin
Installation
The latest version of the extension is available for installation via Mozilla Firefox, Google Chrome, and Opera.
Join the community
Community contribution and feedback is an essential part of the development process, so we encourage you to contact us if you have feedback or a specific suggestion. This is an open-source project, you can contribute in the form of bug reports, feature requests, or code contributions.
To install the development version of the extension, read the installation guide on Github.
Finally, come and tell us about your experience on the Creative Commons Slack via the slack channel: #cc-dev-browser-extension.
The post Introducing the CC Search Browser Extension appeared first on Creative Commons.
Google AI research scientist announces Dataset Search
Researchers appearing in Google Knowledge Graph/panel – drawing data from Google Scholar profiles. | Musings about librarianship
“My first thought was Google is now feeding all entries from Google Scholar profiles into Google Knowledge Graphs! But testing with various accounts showed that while having a Google Scholar profile was a necessary condition for such entries to appear, it wasn’t a sufficient condition.
As of now, I can’t see any logic on why some people with Google Scholar profiles are promoted and others are not. It probably isn’t based on H-index or total citations in Google Scholar profiles since there are so many researcher profiles with high counts in Google Scholar that aren’t appearing in Google.
Another mystery was how did Google know what my Facebook and Twitter accounts were? Given I have a fairly complete Google account, they have gotten it from there, or has others have suggested it is because I have Wikidata entry but I doubt it since in Wikidata I use my full legal name. (Sidenote the notability standards of Wikidata is lower than Wikipedia.)
Also playing around with other names, I noticed researchers who have their H-index and citations (from Google Scholar profile) listed as well as more social media profiles such as Linkedin, Youtube listed….”
The rise of the “open” discovery indexes? Lens.org, Semantic Scholar and Scinapse | Musings about librarianship oa.scite
“In this blog post, I will talk specifically on a very important source of data used by Academic Search engines – Microsoft Academic Graph (MAG) and do a brief review of four academic search engines – Microsoft Academic, Lens.org, Semantic Scholar and Scinapse ,which uses MAG among other sources….
We live in a time, where large (>50 million) Scholarly discovery indexes are no longer as hard to create as in the past, thanks to the availability of freely available Scholarly article index data like Crossref and MAG.”
Ten best practices for faceted search – Google Sheets
Blog – Europe PMC: The new Europe PMC is here
The open access needle in the discovery haystack | Jisc
“The transition towards making scholarly communication openly available and accessible for all is a high priority for funding organisations. A tremendous amount of work is underway by libraries to disclose new sets of data to ensure that their collections can be searched and found.
Supporting this trend, Jisc has recently launched the library hub discover offering a fast and convenient way to search for publications held by UK libraries….
There is good news, however! A lot of different people and organisations around the world are focused on finding ways forward….
In addition to all the work that Jisc has done, the OAPEN initiative has been active for some years and the Knowledge Exchange has undertaken surveys and released reports. The British Library is leading on work and, more recently, the COPIM project has received a substantial amount of funding to pursue solutions in this space….
As part of the Jisc library hub roadmap, we have plans to build and release a tool that will help smaller libraries and open access publishers to more easily create good quality bibliographic records that will be optimised for visibility in discovery systems….”
The amount of data brought together by this service is growing daily, but at the time of writing, 135 academic and specialist libraries have contributed, adding up to more than 102 million catalogue records. But here’s the rub: among those 102 million records, it’s not easy to find out which electronic books under which topic are free, unrestricted and legally accessibly. …”
Which Academic Search Systems are Suitable for Systematic Reviews or Meta?Analyses? Evaluating Retrieval Qualities of Google Scholar, PubMed and 26 other Resources – Gusenbauer – – Research Synthesis Methods – Wiley Online Library
Abstract: Rigorous evidence identification is essential for systematic reviews and meta?analyses (evidence syntheses), because the sample selection of relevant studies determines a review’s outcome, validity, and explanatory power. Yet, the search systems allowing access to this evidence provide varying levels of precision, recall, and reproducibility and also demand different levels of effort. To date, it remains unclear which search systems are most appropriate for evidence synthesis and why. Advice on which search engines and bibliographic databases to choose for systematic searches is limited and lacking systematic, empirical performance assessments.
This study investigates and compares the systematic search qualities of 28 widely used academic search systems, including Google Scholar, PubMed and Web of Science. A novel, query?based method tests how well users are able to interact and retrieve records with each system. The study is the first to show the extent to which search systems can effectively and efficiently perform (Boolean) searches with regards to precision, recall and reproducibility. We found substantial differences in the performance of search systems, meaning that their usability in systematic searches varies. Indeed, only half of the search systems analysed and only a few Open Access databases can be recommended for evidence syntheses without adding substantial caveats. Particularly, our findings demonstrate why Google Scholar is inappropriate as principal search system.
We call for database owners to recognise the requirements of evidence synthesis, and for academic journals to re?assess quality requirements for systematic reviews. Our findings aim to support researchers in conducting better searches for better evidence synthesis.