This dataset contains research data and software (re)use indications in High Energy Physics related scholarly works. A minimal random sample of scholarly works that contain highly processed research data was taken from HEPData and manually read for research data and software (re)use indications. The sample contains 368 works, which were published between 1951 and 2018. The data was collected in 2019 for a PhD thesis on research data and software (re)use indications in scholarly works
Bibliometric analysis is an approach to analyse academic literatures based on metrics such as citati...
Publishing articles in scholarly journals is essential to furthering science. However, it is only on...
In the context of the Open Access and Open Science initiatives, Research Data Management becomes rel...
A paradigm change in scholarly communication is underway. Supporting Open Science, an effort to make...
This dataset is used in preparing the "Qualitative and Quantitative Analyses of the Research on Rene...
The dataset contains an analysis of a randomly chosen sample of 1,073 publications that cite ICPSR r...
Up-dated indispensable guide to handling and analysing data obtained from high-energy and nuclear ph...
Data used to perform a systematic mapping to classify and analyse existing research on open data fro...
In high energy physics (HEP), analysis metadata comes in many forms—from theoretical cross-sections,...
Dataset accompanying the paper "Scientometric analysis and knowledge mapping of literature-based dis...
In high energy physics (HEP), analysis metadata comes in many forms—from theoretical cross-sections,...
Last year's Joint Declaration of Data Citation Principles has triggered much discussion about the be...
The dataset contains bibliographical information about scholarly works in the journal Scientometrics...
Abstract. An overview of the evolution of computing-oriented publications in high energy physics fol...
<p>Reference Publication Year Spectroscopy (RPYS) was proposed by Marx, Bornmann, Barth, and Leydesd...
Bibliometric analysis is an approach to analyse academic literatures based on metrics such as citati...
Publishing articles in scholarly journals is essential to furthering science. However, it is only on...
In the context of the Open Access and Open Science initiatives, Research Data Management becomes rel...
A paradigm change in scholarly communication is underway. Supporting Open Science, an effort to make...
This dataset is used in preparing the "Qualitative and Quantitative Analyses of the Research on Rene...
The dataset contains an analysis of a randomly chosen sample of 1,073 publications that cite ICPSR r...
Up-dated indispensable guide to handling and analysing data obtained from high-energy and nuclear ph...
Data used to perform a systematic mapping to classify and analyse existing research on open data fro...
In high energy physics (HEP), analysis metadata comes in many forms—from theoretical cross-sections,...
Dataset accompanying the paper "Scientometric analysis and knowledge mapping of literature-based dis...
In high energy physics (HEP), analysis metadata comes in many forms—from theoretical cross-sections,...
Last year's Joint Declaration of Data Citation Principles has triggered much discussion about the be...
The dataset contains bibliographical information about scholarly works in the journal Scientometrics...
Abstract. An overview of the evolution of computing-oriented publications in high energy physics fol...
<p>Reference Publication Year Spectroscopy (RPYS) was proposed by Marx, Bornmann, Barth, and Leydesd...
Bibliometric analysis is an approach to analyse academic literatures based on metrics such as citati...
Publishing articles in scholarly journals is essential to furthering science. However, it is only on...
In the context of the Open Access and Open Science initiatives, Research Data Management becomes rel...