Toward Easy Deposit: Lowering the Barriers of Green Open Access with Data Integration and Automation

Abstract:  This article describes the design and development of an interoperable application that supports green open access with long-term sustainability and improved user experience of article deposit. The lack of library resources and the unfriendly repository user interface are two significant barriers that hinder green open access. Tasked to implement the open access mandate, librarians at an American research university developed a comprehensive system called Easy Deposit 2 to automate the support workflow of green open access. Easy Deposit 2 is a web application that is able to harvest new publications, to source manuscripts on behalf of the library, and to facilitate self-archiving to a university’s institutional repository. The article deposit rate increased from 7.40% to 25.60% with the launch of Easy Deposit 2. The results show that a computer system can implement routine tasks to support green open access with success. Recent developments in digital repository provide new opportunities for innovation, such as Easy Deposit 2, in supporting open access. Academic librarians are vital in promoting “openness” in scholarly communication, such as transparency and diversity in the sharing of publication data. Integration in the Works – Cal

“[T]here’s nothing specific to announce yet, but the creativity and enthusiasm on both sides is very, very promising. I’d wager to say we will see some really cool integrations in place in the not too distant future.” Integration in the Works – Cal

“[T]here’s nothing specific to announce yet, but the creativity and enthusiasm on both sides is very, very promising. I’d wager to say we will see some really cool integrations in place in the not too distant future.”

Europe PMC Integrates Smart Citations from scite – scite – Medium

“scite, an award-winning citation analysis platform, and Europe PMC, an open science discovery tool that provides access to a worldwide collection of life science publications, have partnered to display what scite calls smart citations on the Europe PMC platform.

Smart citations advance regular citations by providing more contextual information beyond the information that one study references another. Specifically, smart citations provide the excerpt of text surrounding the citation, the section of the article in which the reference is mentioned, and indicate whether the citing study provides supporting or contradicting evidence. As a result, one can evaluate a study of interest much faster….”

Case study: Doing more with ORCID – UK ORCID Support

“The University of Cambridge research repository (Apollo), uses ORCID IDs as a unique identifier for researchers.  When a researcher submits a dataset to Apollo, a DOI is minted for the dataset through the DataCite service.   By including the ORCID in the metadata submitted to DataCite, DataCite then populates the ORCID registry entry for the researcher (with their permission) with information about the dataset, using an ‘auto-update’ feature. 

The result is that a link is created between the researcher and their data, through the ORCID ID identifying the researcher, and the DOI for the data assigned by DataCite. The persistent identifiers are used to connect researchers and their achievements, improving visibility and discoverability across different systems.  The workflow reduces duplication of effort in entering information and avoids input or identification errors….”

Integration of Machine Learning and Open Access Geospatial Data for Land Cover Mapping

Abstract:  In-time and accurate monitoring of land cover and land use are essential tools for countries to achieve sustainable food production. However, many developing countries are struggling to efficiently monitor land resources due to the lack of financial support and limited access to adequate technology. This study aims at offering a solution to fill in such a gap in developing countries, by developing a land cover solution that is free of costs. A fully automated framework for land cover mapping was developed using 10-m resolution open access satellite images and machine learning (ML) techniques for the African country of Lesotho. Sentinel-2 satellite images were accessed through Google Earth Engine (GEE) for initial processing and feature extraction at a national level. Also, Food and Agriculture Organization’s land cover of Lesotho (FAO LCL) data were used to train a support vector machine (SVM) and bagged trees (BT) classifiers. SVM successfully classified urban and agricultural lands with 62 and 67% accuracy, respectively. Also, BT could classify the two categories with 81 and 65% accuracy, correspondingly. The trained models could provide precise LC maps in minutes or hours. they can also be utilized as a viable solution for developing countries as an alternative to traditional geographic information system (GIS) methods, which are often labor intensive, require acquisition of very high-resolution commercial satellite imagery, time consuming and call for high budgets. 


Unpaywall extension adds 200,000th active user – Impactstory blog

“We’re thrilled to announce that we’re now supporting over 200,000 active users of the Unpaywall extension for Chrome and Firefox!

The extension, which debuted nearly two years ago, helps users find legal, open access copies of paywalled scholarly articles. Since its release, the extension has been used more than 45 million times, finding an open access copy in about half of those. …

However, although the extension gets the press, the database powering the extension is the real star. There are millions of people using the Unpaywall database every day:

  • We deliver nearly one million OA papers every day to users worldwide via our open API…that’s 10 papers every second!
  • Over 1,600 academic libraries use our SFX integration to automatically find and deliver OA copies of articles when they have no subscription access.
  • If you’re using an academic discovery tool, it probably includes Unpaywall data…we’re integrated into Web of Science, Europe PubMed Central, WorldCat, Scopus, Dimensions, and many others.
  • Our data is used to inform and monitor OA policy at organizations like the US NIH, UK Research and Innovation, the Swiss National Science Foundation, the Wellcome Trust, the European Open Science Monitor, and many others.

The Unpaywall database gets information from over 50,000 academic journals and 5000 scholarly repositories and archives, tracking OA status for more than 100 million articles. You can access this data for free using our open API, or user our free web-based query tool. Or if you prefer, you can just download the whole database for free….”

Open data: growing pains | Research Information

“In its latest State of Open Data survey, Figshare revealed that a hefty 64 per cent of respondents made their data openly available in 2018.

The percentage, up four per cent from last year and seven per cent from 2016, indicates a healthy awareness of open data and for Daniel Hook, chief executive of Figshare’s parent company, Digital Science, it spells good news….

For example, the majority of respondents – 63 per cent – support national mandates for open data, an eight  per cent rise from 2017. And, at the same time, nearly half of the respondents – 46 per cent – reckon data citations motivate them to make data openly available. This figure is up seven per cent from last year….

Yet, amid the data-sharing success stories, myriad worries remain. Top of the pile is the potential for data misuse….

Inappropriate sharing of data is another key concern….

Results indicated that a mighty 58 per cent of respondents felt they do not receive sufficient credit for sharing data, while only nine per cent felt they do….

Coko recently won funding from the Sloan Foundation to build DataSeer, an online service that will use Natural Language Processing to identify datasets that are associated with a particular article. …”

Project THOR – Technical and Human infrastructure for Open Research

“THOR is a 30 month project funded by the European Commission under the Horizon 2020 programme. It will establish seamless integration between articles, data, and researchers across the research lifecycle. This will create a wealth of open resources and foster a sustainable international e-infrastructure. The result will be reduced duplication, economies of scale, richer research services, and opportunities for innovation. Learn more about the THOR mission….”