cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1202229.v4
title: A Review of Options for the Development of Research Data Management Technical Infrastructure at the University of Sheffield

description: This set groups together: Version 1 of "A Review of Options for the Development of Research Data Management Technical Infrastructure at the University of Sheffield." published at figshare.<br>http://dx.doi.org/10.6084/m9.figshare.1092561 together with the "Executive Summary" published at figshare.<br>http://dx.doi.org/10.6084/m9.figshare.1092562 and "Addendum 1" published at figshare. http://dx.doi.org/10.6084/m9.figshare.1130884 An updated Version 2, "Research Data Management Technical Infrastructure: A Review of Options for Development at the University of Sheffield" is published at figshare.<br>http://dx.doi.org/10.6084/m9.figshare.1202230 ------------------------------------------------------------------- This report reviews options available for the development of a technical infrastructure to support research data management (RDM) at the University of Sheffield. RDM, its situation within academic research and recent drivers towards change are defined. The processes involved in RDM and the elements of the supporting technical infrastructure are examined. The local context, of RDM technical infrastructure at the University of Sheffield and collaborating institutions, is explored. The report briefly describes the eighty most commonly used components of RDM technical infrastructure at UK HEIs. The report describes evaluations, reviews and comparisons of these components, gives examples of established RDM services and highlights the recent projects at UK HEIs which were involved in developing these services. This report focuses on the outcomes of projects at UK HEIs funded by the JISC ‘Managing Research Data’ programmes 2009-11 and 2011-2013. Generally the infrastructure architectures examined have been developed in response to the functional requirements derived from researcher workflows. Finally, recommendations for suitable technical infrastructure components are proposed.
DOI: 10.6084/m9.figshare.1202229.v3
title: A Review of Options for the Development of Research Data Management Technical Infrastructure at the University of Sheffield

description: This report reviews options available for the development of a technical infrastructure to support research data management (RDM) at the University of Sheffield. RDM, its situation within academic research and recent drivers towards change are defined. The processes involved in RDM and the elements of the supporting technical infrastructure are examined. The local context, of RDM technical infrastructure at the University of Sheffield and collaborating institutions, is explored. The report briefly describes the eighty most commonly used components of RDM technical infrastructure at UK HEIs. The report describes evaluations, reviews and comparisons of these components, gives examples of established RDM services and highlights the recent projects at UK HEIs which were involved in developing these services. This report focuses on the outcomes of projects at UK HEIs funded by the JISC ‘Managing Research Data’ programmes 2009-11 and 2011-2013. Generally the infrastructure architectures examined have been developed in response to the functional requirements derived from researcher workflows. Finally, recommendations for suitable technical infrastructure components are proposed. Version 1. plus executive summary and Addendum.
DOI: 10.6084/m9.figshare.1202230.v3
title: Research Data Management Technical Infrastructure: A Review of Options for Development at the University of Sheffield

description: This report reviews options available for the development of a technical infrastructure to support research data management (RDM) at the University of Sheffield. RDM, its situation within academic research and recent drivers towards change are defined. The processes involved in RDM and the elements of the supporting technical infrastructure are examined. The local context, of RDM technical infrastructure at the University of Sheffield and collaborating institutions, is explored. The report briefly describes the eighty most commonly used components of RDM technical infrastructure at UK HEIs. The report describes evaluations, reviews and comparisons of these components, gives examples of established RDM services and highlights the recent projects at UK HEIs which were involved in developing these services. This report focuses on the outcomes of projects at UK HEIs funded by the JISC ‘Managing Research Data’ programmes 2009-11 and 2011-2013. Generally the infrastructure architectures examined have been developed in response to the functional requirements derived from researcher workflows. Finally, recommendations for suitable technical infrastructure components are proposed. This is an updated version (2.2) of the document at http://dx.doi.org/10.6084/m9.figshare.1092561
DOI: 10.6084/m9.figshare.1202194
title: Dataset used in the paper "Random Forest as an imputation method for psychology research: its impact on item fit and difficulty of the Rasch Model"

description: This dataset contains the answer of 1,810 Brazilian people to the Inductive Reasoning Developmental Test. The current dataset was used in the paper "Random Forest as an imputation method for psychology research: its impact on item fit and difficulty of the Rasch Model."
DOI: 10.6084/m9.figshare.1202196
title: Incorporating bioclimatic and biogeographic data in the construction of species distribution models in order to prioritize searches for new populations of threatened flora

description: The aim of this study was to analyse the usefulness of incorporating bioclimatic and biogeographic data into digital species prediction and modelling tools in order to identify potential habitats of rare or endangered flora taxa. Species distribution models (SDMs) were obtained using the Maximum entropy algorithm. Habitat suitability maps were based on sites of known occurrence of studied species. The study showed that highly reliable habitat prediction models can be obtained through the inclusion of bioclimatic and biogeographic maps when modelling these species. The resultant SDMs are able to fit the search area more closely to the characteristics of the species, excluding the percentage of highly suitable areas that are located far from the known distribution of the taxon, where the probability of finding the plant is low. Therefore, it is possible to overcome one of the most commonly encountered problems in the construction of rare or threatened flora taxa SDMs, derived from the low number of initial citations. The resulting SDMs and the vegetation map enable prioritization of the search for new populations and optimization of the economic and human resources used in the collection of field data.
DOI: 10.6084/m9.figshare.1202230.v4
title: Research Data Management Technical Infrastructure: A Review of Options for Development at the University of Sheffield

description: This report reviews options available for the development of a technical infrastructure to support research data management (RDM) at the University of Sheffield. RDM, its situation within academic research and recent drivers towards change are defined. The processes involved in RDM and the elements of the supporting technical infrastructure are examined. The local context, of RDM technical infrastructure at the University of Sheffield and collaborating institutions, is explored. The report briefly describes the eighty most commonly used components of RDM technical infrastructure at UK HEIs. The report describes evaluations, reviews and comparisons of these components, gives examples of established RDM services and highlights the recent projects at UK HEIs which were involved in developing these services. This report focuses on the outcomes of projects at UK HEIs funded by the JISC ‘Managing Research Data’ programmes 2009-11 and 2011-2013. Generally the infrastructure architectures examined have been developed in response to the functional requirements derived from researcher workflows. Finally, recommendations for suitable technical infrastructure components are proposed. This is an updated version (2.2) of the document at http://dx.doi.org/10.6084/m9.figshare.1092561
DOI: 10.6084/m9.figshare.1202196.v2
title: Incorporating bioclimatic and biogeographic data in the construction of species distribution models in order to prioritize searches for new populations of threatened flora

description: The aim of this study was to analyse the usefulness of incorporating bioclimatic and biogeographic data into digital species prediction and modelling tools in order to identify potential habitats of rare or endangered flora taxa. Species distribution models (SDMs) were obtained using the Maximum entropy algorithm. Habitat suitability maps were based on sites of known occurrence of studied species. The study showed that highly reliable habitat prediction models can be obtained through the inclusion of bioclimatic and biogeographic maps when modelling these species. The resultant SDMs are able to fit the search area more closely to the characteristics of the species, excluding the percentage of highly suitable areas that are located far from the known distribution of the taxon, where the probability of finding the plant is low. Therefore, it is possible to overcome one of the most commonly encountered problems in the construction of rare or threatened flora taxa SDMs, derived from the low number of initial citations. The resulting SDMs and the vegetation map enable prioritization of the search for new populations and optimization of the economic and human resources used in the collection of field data.
DOI: 10.6084/m9.figshare.1202194.v2
title: Dataset used in the paper "Random Forest as an imputation method for psychology research: its impact on item fit and difficulty of the Rasch Model"

description: This dataset contains the answer of 1,810 Brazilian people to the Inductive Reasoning Developmental Test. The current dataset was used in the paper "Random Forest as an imputation method for psychology research: its impact on item fit and difficulty of the Rasch Model."
DOI: 10.6084/m9.figshare.1202196.v1
title: Incorporating bioclimatic and biogeographic data in the construction of species distribution models in order to prioritize searches for new populations of threatened flora

description: The aim of this study is to analyze the usefulness of incorporating bioclimatic and biogeographic data into digital species prediction and modeling tools in order to identify potential habitats of rare or endangered flora taxa.
DOI: 10.6084/m9.figshare.1202230.v5
title: Research Data Management Technical Infrastructure: A Review of Options for Development at the University of Sheffield

description: This report reviews the options available for the development of a technical infrastructure to support research data management (RDM) at the University of Sheffield. RDM, its situation within academic research and recent drivers towards change are defined. The processes involved in RDM and the elements of the supporting technical infrastructure are examined. The local context, of RDM technical infrastructure at the University of Sheffield and collaborating institutions, is explored. The report briefly describes the eighty most commonly used components of RDM technical infrastructure at UK HEIs. The report describes evaluations, reviews and comparisons of these components, gives examples of established RDM services and highlights the recent projects at UK HEIs which were involved in developing these services. This report focuses on the outcomes of projects at UK HEIs funded by the JISC ‘Managing Research Data’ programmes 2009-11 and 2011-2013. Generally the infrastructure architectures examined have been developed in response to the functional requirements derived from researcher workflows. Finally, recommendations for suitable technical infrastructure components are proposed. This is an updated version (2.2) of the document at http://dx.doi.org/10.6084/m9.figshare.1092561
DOI: 10.6084/m9.figshare.1202194.v1
title: Dataset used in the paper "Random Forest as an imputation method for psychology research: its impact on item fit and difficulty of the Rasch Model"

description: This dataset contains the answer of 1,810 Brazilian people to the Inductive Reasoning Developmental Test. The current dataset was used in the paper "Random Forest as an imputation method for psychology research: its impact on item fit and difficulty of the Rasch Model."
DOI: 10.6084/m9.figshare.1202175
title: Upstairs-downstairs: supercontinents and large igneous provinces, are they related?

description: There is a correlation of global large igneous province (LIP) events with zircon age peaks at 2700, 2500, 2100, 1900, 1750, 1100, and 600 and also probably at 3450, 3000, 2000, and 300 Ma. Power spectral analyses of LIP event distributions suggest important periodicities at 250, 150, 100, 50, and 25 million years with weaker periodicities at 70–80, 45, and 18–20 Ma. The 25 million year periodicity is important only in the last 300 million years. Some LIP events are associated with granite-forming (zircon-producing) events and others are not, and LIP events at 1900 and 600 Ma correlate with peaks in craton collision frequency. LIP age peaks are associated with supercontinent rifting or breakup, but not dispersal, at 2450–2400, 2200, 1380, 1280, 800–750, and ≤200 Ma, and with supercontinent assembly at 1750 and 600 Ma. LIP peaks at 2700 and 2500 Ma and the valley between these peaks span the time of Neoarchaean supercraton assemblies. These observations are consistent with plume generation in the deep mantle operating independently of the supercontinent cycle and being controlled by lower-mantle and core-mantle boundary thermochemical dynamics. Two processes whereby plumes can impact continental assembly and breakup are (1) plumes may rise beneath supercontinents and initiate supercontinent breakup, and (2) plume ascent may increase the frequency of craton collisions and the rate of crustal growth by accelerating subduction.
DOI: 10.6084/m9.figshare.1202175.v1
title: Upstairs-downstairs: supercontinents and large igneous provinces, are they related?

description: There is a correlation of global large igneous province (LIP) events with zircon age peaks at 2700, 2500, 2100, 1900, 1750, 1100, and 600 and also probably at 3450, 3000, 2000, and 300 Ma. Power spectral analyses of LIP event distributions suggest important periodicities at 250, 150, 100, 50, and 25 million years with weaker periodicities at 70–80, 45, and 18–20 Ma. The 25 million year periodicity is important only in the last 300 million years. Some LIP events are associated with granite-forming (zircon-producing) events and others are not, and LIP events at 1900 and 600 Ma correlate with peaks in craton collision frequency. LIP age peaks are associated with supercontinent rifting or breakup, but not dispersal, at 2450–2400, 2200, 1380, 1280, 800–750, and ≤200 Ma, and with supercontinent assembly at 1750 and 600 Ma. LIP peaks at 2700 and 2500 Ma and the valley between these peaks span the time of Neoarchaean supercraton assemblies. These observations are consistent with plume generation in the deep mantle operating independently of the supercontinent cycle and being controlled by lower-mantle and core-mantle boundary thermochemical dynamics. Two processes whereby plumes can impact continental assembly and breakup are (1) plumes may rise beneath supercontinents and initiate supercontinent breakup, and (2) plume ascent may increase the frequency of craton collisions and the rate of crustal growth by accelerating subduction.
DOI: 10.6084/m9.figshare.1202230.v6
title: Research Data Management Technical Infrastructure: A Review of Options for Development at the University of Sheffield

description: This report reviews the options available for the development of a technical infrastructure to support research data management (RDM) at the University of Sheffield. RDM, its situation within academic research and recent drivers towards change are defined. The processes involved in RDM and the elements of the supporting technical infrastructure are examined. The local context, of RDM technical infrastructure at the University of Sheffield and collaborating institutions, is explored. The report briefly describes the eighty most commonly used components of RDM technical infrastructure at UK HEIs. The report describes evaluations, reviews and comparisons of these components, gives examples of established RDM services and highlights the recent projects at UK HEIs which were involved in developing these services. This report focuses on the outcomes of projects at UK HEIs funded by the JISC ‘Managing Research Data’ programmes 2009-11 and 2011-2013. Generally the infrastructure architectures examined have been developed in response to the functional requirements derived from researcher workflows. Finally, recommendations for suitable technical infrastructure components are proposed. This is an updated version (2.2) of the document at http://dx.doi.org/10.6084/m9.figshare.1092561
DOI: 10.6084/m9.figshare.1202158
title: University of Bristol RCUK APCs 2013-14

description: University of Bristol's expenditure data on APCs paid from RCUK funds (2013-14). It has been publicly released with the permission of University of Bristol library.
DOI: 10.6084/m9.figshare.1202157
title: Efficient quantile regression for heteroscedastic models

description: Quantile regression (QR) provides estimates of a range of conditional quantiles. This stands in contrast to traditional regression techniques, which focus on a single conditional mean function. Lee et al. [Regularization of case-specific parameters for robustness and efficiency. Statist Sci. 2012;27(3):350–372] proposed efficient QR by rounding the sharp corner of the loss. The main modification generally involves an asymmetric ℓ<sub>2</sub> adjustment of the loss function around zero. We extend the idea of ℓ<sub>2</sub> adjusted QR to linear heterogeneous models. The ℓ<sub>2</sub> adjustment is constructed to diminish as sample size grows. Conditions to retain consistency properties are also provided.
DOI: 10.6084/m9.figshare.1202158.v1
title: University of Bristol RCUK APCs 2013-14

description: University of Bristol's expenditure data on APCs paid from RCUK funds (2013-14). It has been publicly released with the permission of University of Bristol library.
DOI: 10.6084/m9.figshare.1202230.v7
title: Research Data Management Technical Infrastructure: A Review of Options for Development at the University of Sheffield

description: This report reviews the options available for the development of a technical infrastructure to support research data management (RDM) at the University of Sheffield. RDM, its situation within academic research and recent drivers towards change are defined. The processes involved in RDM and the elements of the supporting technical infrastructure are examined. The local context, of RDM technical infrastructure at the University of Sheffield and collaborating institutions, is explored. The report briefly describes the eighty most commonly used components of RDM technical infrastructure at UK HEIs. The report describes evaluations, reviews and comparisons of these components, gives examples of established RDM services and highlights the recent projects at UK HEIs which were involved in developing these services. This report focuses on the outcomes of projects at UK HEIs funded by the JISC ‘Managing Research Data’ programmes 2009-11 and 2011-2013. Generally the infrastructure architectures examined have been developed in response to the functional requirements derived from researcher workflows. Finally, recommendations for suitable technical infrastructure components are proposed. This is an updated version (2.4) of the document at http://dx.doi.org/10.6084/m9.figshare.1092561
DOI: 10.6084/m9.figshare.1202230.v8
title: Research Data Management Technical Infrastructure: A Review of Options for Development at the University of Sheffield

description: This report reviews the options available for the development of a technical infrastructure to support research data management (RDM) at the University of Sheffield. RDM, its situation within academic research and recent drivers towards change are defined. The processes involved in RDM and the elements of the supporting technical infrastructure are examined. The local context, of RDM technical infrastructure at the University of Sheffield and collaborating institutions, is explored. The report briefly describes the eighty most commonly used components of RDM technical infrastructure at UK HEIs. The report describes evaluations, reviews and comparisons of these components, gives examples of established RDM services and highlights the recent projects at UK HEIs which were involved in developing these services. This report focuses on the outcomes of projects at UK HEIs funded by the JISC ‘Managing Research Data’ programmes 2009-11 and 2011-2013. Generally the infrastructure architectures examined have been developed in response to the functional requirements derived from researcher workflows. Finally, recommendations for suitable technical infrastructure components are proposed. This is an updated version (2.4) of the document at http://dx.doi.org/10.6084/m9.figshare.1092561
DOI: 10.6084/m9.figshare.1202157.v2
title: Efficient quantile regression for heteroscedastic models

description: Quantile regression (QR) provides estimates of a range of conditional quantiles. This stands in contrast to traditional regression techniques, which focus on a single conditional mean function. Lee et al. [Regularization of case-specific parameters for robustness and efficiency. Statist Sci. 2012;27(3):350–372] proposed efficient QR by rounding the sharp corner of the loss. The main modification generally involves an asymmetric ℓ<sub>2</sub> adjustment of the loss function around zero. We extend the idea of ℓ<sub>2</sub> adjusted QR to linear heterogeneous models. The ℓ<sub>2</sub> adjustment is constructed to diminish as sample size grows. Conditions to retain consistency properties are also provided.
DOI: 10.6084/m9.figshare.1202060
title: Web API Responses - MOBILESoft 2015

description: Web API responses for the MOBILESoft 2015 paper.
DOI: 10.6084/m9.figshare.1202110
title: 1 Web 2.0 Applications In Medicine : Trends And Topics In The Literature

description: Poster : Medicine 2.0. 7th world congress on Social Media, Mobile Apps, Internet/Web 2.0. 10/10/2014
DOI: 10.6084/m9.figshare.1202157.v1
title: Efficient quantile regression for heteroscedastic models

description: Quantile regression (QR) provides estimates of a range of conditional quantiles. This stands in contrast to traditional regression techniques, which focus on a single conditional mean function. Lee et al. [Regularization of case-specific parameters for robustness and efficiency. Statist Sci. 2012;27(3):350–372] proposed efficient QR by rounding the sharp corner of the loss. The main modification generally involves an asymmetric ℓ<sub>2</sub> adjustment of the loss function around zero. We extend the idea of ℓ<sub>2</sub> adjusted QR to linear heterogeneous models. The ℓ<sub>2</sub> adjustment is constructed to diminish as sample size grows. Conditions to retain consistency properties are also provided.
DOI: 10.6084/m9.figshare.1202110.v1
title: 1 Web 2.0 Applications In Medicine : Trends And Topics In The Literature

description: Poster : Medicine 2.0. 7th world congress on Social Media, Mobile Apps, Internet/Web 2.0. 10/10/2014
DOI: 10.6084/m9.figshare.1201780
title: A Book is Not a Story: Professional Development, session notes

description: Professional Development session developed as part of the research project, <em>Addressing Australian Curriculum Outcomes for a Diverse Range of Learners through Storytelling</em><br>Principal investigators – Simon Ellaby and Kim Shaw