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….”

X3ML mapping framework for information integration in cultural heritage and beyond | SpringerLink

Abstract:  The aggregation of heterogeneous data from different institutions in cultural heritage and e-science has the potential to create rich data resources useful for a range of different purposes, from research to education and public interests. In this paper, we present the X3ML framework, a framework for information integration that handles effectively and efficiently the steps involved in schema mapping, uniform resource identifier (URI) definition and generation, data transformation, provision and aggregation. The framework is based on the X3ML mapping definition language for describing both schema mappings and URI generation policies and has a lot of advantages when compared with other relevant frameworks. We describe the architecture of the framework as well as details on the various available components. Usability aspects are discussed and performance metrics are demonstrated. The high impact of our work is verified via the increasing number of international projects that adopt and use this framework.

Exeley

“Exeley Inc. a New York based company established in 2015 that focuses on offering innovative publishing services to Open Access publications worldwide.

The company is run by Dawid Cecula, an experienced manager in the publishing industry. In the last decade, Dawid has built one of the world’s largest collections of Open Access journals. He gained his experience from working for leading international publishers and delivering professional publishing and consulting services to universities, research centers and societies based in Europe, America and Asia.

Exeley Inc. offers journal owners a well-designed and technologically advanced publishing platform that integrates publications with online content, social media, databases and libraries. Users benefit from such solutions as: allocation of DOI numbers and live reference links via cooperation with Crossref; articles enhanced by graphical abstracts and extra supplementary files (including videos, sound files and power point presentations); advanced article metrics powered by PlumX, and responsive web design….”

SCHOLIX

“The Scholix initiative is a high level interoperability framework for exchanging information about the links between scholarly literature and data. It aims to build an open information ecosystem to understand systematically what data underpins literature and what literature references data. The DLI Service is the first exemplar aggregation and query service fed by the Scholix open information ecosystem. The Scholix framework together with the DLI aggregation are designed to enable other 3rd party services (domain-specific aggregations, integrations with other global services, discovery tools, impact assessments etc).

Scholix is an evolving lightweight set of Guidelines to increase interoperability rather than a normative standard….”

Hirmeos Project – High Integration of Research Monographs in the European Open Science infrastructure

“Several projects, especially in Europe, pursue the aim of  publishing Open Access research monographs. However, not enough has been done yet to integrate Open Access monographs into the open science ecosystem in a systematic and coordinated fashion. That’s the main goal of High Integration of Research Monographs in the European Open Science (HIRMEOS) project. The project addresses the particularities of academic monographs as a specific support for scientific communication in the Social Sciences and the Humanities  and tackles the main obstacles of the full integration  of monographs into the European Open Science Cloud. It aims at prototyping innovative services for monographs in support of Open Science infrastructure by providing additional data, links and interactions to the documents, at the same time paving the way to new potential tools for research assessment, which is still a major challenge in the Humanities and Social Sciences.

By improving already existing publishing platforms and repositories participating in the OpenAIRE infrastructure, the HIRMEOS project will increase its impact and help including more disciplines into the Open Science paradigm, widening its boundaries towards the Humanities and Social Sciences and to reach out new fields up to now poorly integrated….”