Category Archives: oa.os_indicators

Trends in preprint, data, and code sharing, 2019-2022

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“PLOS recently introduced Open Science Indicators (OSIs), a large public dataset identifying and quantifying Open Science practices like preprint posting, data sharing and code sharing in PLOS articles, as well as a selection of comparator articles published elsewhere. Now, we are delighted to release another six months of data from the second half of 2022, providing a new view of Open Science practices by researchers, over four years. The latest results continue to show incremental growth in all three areas. Read on for more details on the project, detailed numbers, and a closer look at preprints….”

PLOS Release Results from New Scheme & Springer Nature Launches OA Initiative | The Hub by The London Book Fair | Publishing News

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The Public Library of Science (PLOS) has released the first results from its new initiative, launched in partnership with AI-driven data sharing support body DataSeer, to measure researchers’ Open Science practices across published literature.

The two organisations have released data on three of the numerical indicators they have developed together – on data sharing, code sharing, and preprint posting – to show that good practices in research data and code sharing, along with the use of preprints, are becoming increasingly prevalent in the research community….”

Measuring research practices with metadata: A first look at Open Science Indicators for librarians

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“How prevalent are Open Science practices? How does Open Science adoption vary among different communities? Has it changed over time? Where do barriers to Open Science practice persist?

These are the types of questions that we hope to explore through Open Science Indicators (OSIs), a new initiative developed by PLOS in partnership with DataSeer. OSIs use Natural Language Processing to identify and track specific Open Science behaviors in published research articles.”

Measuring research practices with metadata: A first look at Open Science Indicators for librarians

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“How prevalent are Open Science practices? How does Open Science adoption vary among different communities? Has it changed over time? Where do barriers to Open Science practice persist?

These are the types of questions that we hope to explore through Open Science Indicators (OSIs), a new initiative developed by PLOS in partnership with DataSeer. OSIs use Natural Language Processing to identify and track specific Open Science behaviors in published research articles.”

2022 PLOS accomplishments – The Official PLOS Blog

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“Here are some highlights:

Our new journals, launched to address global issues like climate change, published more than 1,000 papers
We just published our first dataset on our Open Science Indicators, a new initiative that will help us surface and understand researcher practices with regards to sharing data and code, among other Open Science practices 
We set up PLOS entities across the globe and formed relationships with stakeholders within local research ecosystems
We doubled the number of our institutional partnerships…”

Explore the first Open Science Indicators dataset—and share your thoughts – The Official PLOS Blog

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“Open Science is on the rise. We can infer as much from the proliferation of Open Access publishing options; the steady upward trend in bioRxiv postings; the periodic rollout of new national, institutional, or funder policies. 

But what do we actually know about the day-to-day realities of Open Science practice? What are the norms? How do they vary across different research subject areas and regions? Are Open Science practices shifting over time? Where might the next opportunity lie and where do barriers to adoption persist? 

To even begin exploring these questions and others like them we need to establish a shared understanding of how we define and measure Open Science practices. We also need to understand the current state of adoption in order to track progress over time. That’s where the Open Science Indicators project comes in. PLOS conceptualized a framework for measuring Open Science practices according to the FAIR principles, and partnered with DataSeer to develop a set of numerical “indicators” linked to specific Open Science characteristics and behaviors observable in published research articles. Our very first dataset, now available for download at Figshare, focuses on three Open Science practices: data sharing, code sharing, and preprint posting….”

Plos launches open science data collection push | Times Higher Education (THE)

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“The Public Library of Science is beginning a project to track open science behaviours across scientific publishing, calling the lack of such data a critical barrier to making meaningful advances in research-sharing.

Plos, the pioneering non-profit open-access publisher founded in 2000, said that its new Open Science Indicator project would measure and report three characteristics of published articles: how many appeared in a preprint format, shared their research data, and made available the computer code underlying that data….”

 

PLOS Open Science Indicators

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“This dataset contains article metadata and information about Open Science Indicators for approximately 61,000 research articles published in PLOS from 1 January 2019 to 30 June 2022 and a set of approximately 6,500 comparator articles published in non-PLOS journals. This is the first release of this dataset, which will be updated with new versions as newly published content is analysed.

This version of the Open Science Indicators dataset focuses on detection of three Open Science practices by analysing the XML of published research articles:

Sharing of research data, in particular data shared in data repositories
Sharing of code
Posting of preprints

The dataset provides data and code generation and sharing rates, the location of shared data and code (whether in Supporting Information or in an online repository). It also provides preprint sharing rates as well as details of the shared preprint, such as publication date, URL and preprint server used. Additional data fields are also provided for each article analysed, such as geographic information (‘Country’) and research topics (‘Discipline’)….”

Explore the first Open Science Indicators dataset—and share your thoughts – The Official PLOS Blog

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“But what do we actually know about the day-to-day realities of Open Science practice? What are the norms? How do they vary across different research subject areas and regions? Are Open Science practices shifting over time? Where might the next opportunity lie and where do barriers to adoption persist? 

To even begin exploring these questions and others like them we need to establish a shared understanding of how we define and measure Open Science practices. We also need to understand the current state of adoption in order to track progress over time. That’s where the Open Science Indicators project comes in. PLOS conceptualized a framework for measuring Open Science practices according to the FAIR principles, and partnered with DataSeer to develop a set of numerical “indicators” linked to specific Open Science characteristics and behaviors observable in published research articles. Our very first dataset, now available for download at Figshare, focuses on three Open Science practices: data sharing, code sharing, and preprint posting….”