Join Mike Spencer from Smart Data Foundry as he introduces a case study of open data in action.
加入Smart Data Foundry的Mike Spencer，他将介绍开放数据的实际应用案例。
{"title":"Combining Open and Financial Data for Targeted Policy Solutions","authors":"Mike Spencer","doi":"10.2218/eor.2023.8853","DOIUrl":"https://doi.org/10.2218/eor.2023.8853","url":null,"abstract":"\u0000Join Mike Spencer from Smart Data Foundry as he introduces a case study of open data in action.\u0000","PeriodicalId":244254,"journal":{"name":"Edinburgh Open Research","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121777992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Join our keynotes Daisy Salematsela (Director, WITS Libraries, Johannesburg, South Africa) & Lazarus Matizirofa (University of Pretoria) as they give us a survey of the progress being made in South Africa towards Open Access, Open Data, and Open Research in general - focusing on the role of the Library in this drive towards openness.
{"title":"South African Open Access and Open Data","authors":"Daisy Salematsela, L. Matizirofa","doi":"10.2218/eor.2023.8852","DOIUrl":"https://doi.org/10.2218/eor.2023.8852","url":null,"abstract":"Join our keynotes Daisy Salematsela (Director, WITS Libraries, Johannesburg, South Africa) & Lazarus Matizirofa (University of Pretoria) as they give us a survey of the progress being made in South Africa towards Open Access, Open Data, and Open Research in general - focusing on the role of the Library in this drive towards openness.","PeriodicalId":244254,"journal":{"name":"Edinburgh Open Research","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128194755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Join Theo Andrew as he gives an update on the impact of the University of Edinburgh's "Right Retention Policy" after 12 months. You can find out more about the University's Rights Retention Policy here: https://www.ed.ac.uk/information-services/about/policies-and-regulations/research-publications
{"title":"Rights Retention in Action","authors":"T. Andrew","doi":"10.2218/eor.2023.8850","DOIUrl":"https://doi.org/10.2218/eor.2023.8850","url":null,"abstract":"Join Theo Andrew as he gives an update on the impact of the University of Edinburgh's \"Right Retention Policy\" after 12 months. You can find out more about the University's Rights Retention Policy here: https://www.ed.ac.uk/information-services/about/policies-and-regulations/research-publications","PeriodicalId":244254,"journal":{"name":"Edinburgh Open Research","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131965268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Join Crispin Jordan for his lightning talk, where he presents the new (and exciting) proposal for a broad scope, University wide centralised resource for training and best practice in study design, analysis and Open Science for disciplines across the University of Edinburgh.
{"title":"Creating a University Wide Resource for Study Design Open Science and Data Analysis","authors":"Crispin Jordan","doi":"10.2218/eor.2023.8849","DOIUrl":"https://doi.org/10.2218/eor.2023.8849","url":null,"abstract":"Join Crispin Jordan for his lightning talk, where he presents the new (and exciting) proposal for a broad scope, University wide centralised resource for training and best practice in study design, analysis and Open Science for disciplines across the University of Edinburgh.","PeriodicalId":244254,"journal":{"name":"Edinburgh Open Research","volume":"109 1-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120928601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
DecodeME is a research project that aims to find the genetic causes of why people become ill with myalgic encephalomyelitis (ME) / Chronic Fatigue Syndrome (CFS). Participants are able to take part from the comfort of their home without having to first visit a clinic. Registration opened in September 2022. Since then, we have had over 25,000 people register to take part in this research, with over 6000 registering on the first day alone. Data workflows and automation are critical when operating at such scale. Decision making and progress are best underpinned by data driven insights from the live source data. The talk discusses and demonstrates how we achieved this within our project. https://www.decodeme.org.uk/
{"title":"Data Dashboards","authors":"David Perry","doi":"10.2218/eor.2023.8125","DOIUrl":"https://doi.org/10.2218/eor.2023.8125","url":null,"abstract":"DecodeME is a research project that aims to find the genetic causes of why people become ill with myalgic encephalomyelitis (ME) / Chronic Fatigue Syndrome (CFS). Participants are able to take part from the comfort of their home without having to first visit a clinic. Registration opened in September 2022. Since then, we have had over 25,000 people register to take part in this research, with over 6000 registering on the first day alone. Data workflows and automation are critical when operating at such scale. Decision making and progress are best underpinned by data driven insights from the live source data. \u0000The talk discusses and demonstrates how we achieved this within our project.\u0000https://www.decodeme.org.uk/","PeriodicalId":244254,"journal":{"name":"Edinburgh Open Research","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128957643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Join Will Cawthorn for the closing keynote as he explores tangible ways to cultivate a healthy research culture using the tools provided by Open Scientific practices.
{"title":"Improving Research Culture and Integrity through Open Science","authors":"Will Cawthorn","doi":"10.2218/eor.2023.8854","DOIUrl":"https://doi.org/10.2218/eor.2023.8854","url":null,"abstract":"\u0000Join Will Cawthorn for the closing keynote as he explores tangible ways to cultivate a healthy research culture using the tools provided by Open Scientific practices. \u0000","PeriodicalId":244254,"journal":{"name":"Edinburgh Open Research","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122876073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Persistent identifiers (PIDs) are unique, machine-readable codes assigned to research entities that allow them to be easily discoverable. PIDs, along with their accompanying metadata, are crucial enablers of the FAIR principles (Findable, Accessible, Interoperable, and Reusable). PIDs ensure that digital objects can be located, accessed, and reused by humans and machines alike, while metadata provides essential information about research objects, including their origin, content, and format. In the research ecosystem, each stakeholder has a role to play in integrating PIDs into their workflows. Publishers, for example, can assign DOIs (Digital Object Identifiers) to articles, books, and other publications, making them easily findable and citable. Repositories can assign PIDs to datasets, making them discoverable and accessible. Researchers can use PIDs to link their data to their publications, ensuring that their data is discoverable and can be reused in future research. Despite the importance of PIDs and metadata, it's not always clear to researchers how to take advantage of the existing infrastructure and make their outputs FAIR. Being aware of the available PIDs, such as DOIs, ORCIDs, and RORs, and how they can be used to identify, connect, and cite various types of outputs and resources can help researchers plan and execute sensible data management, sharing, and publishing decisions that are efficient and beneficial in the long term. In the Implementing FAIR Workflows Project, DataCite works with a team of researchers at the Max Planck Institute for Empirical Aesthetics to follow along a neuroscience PhD project from the beginning, to design and plan for a series of workflows that put the FAIR principles into practice, so that they become an inherent part of the research process, instead of an afterthought. The FAIR workflows researcher is undertaking in the project include data management planning, experiment preregistration, domain-specific metadata capturing and archiving, data and code sharing, preprinting, and open access publishing. We have also been tracking the time spent on various types of FAIR and Open activities, hoping to shed a light on the actual time commitment expected for a FAIRly conducted research project. We share our experience so far implementing these workflows with the Edinburgh Open Science community - the approach we used, the steps we’ve taken, and the outcomes and challenges that surfaced during the process. We are also preparing a guide for researchers to take on FAIR research workflows in their day-to-day work based on the lessons learned in the project, we look forward to taking the opportunity to hear from the community whether it resonates, and how can we format it in a way that’s most useful.
{"title":"Making Research FAIR With a PID-centric Workflow","authors":"Xiaoli Chen","doi":"10.2218/eor.2023.8117","DOIUrl":"https://doi.org/10.2218/eor.2023.8117","url":null,"abstract":"Persistent identifiers (PIDs) are unique, machine-readable codes assigned to research entities that allow them to be easily discoverable. PIDs, along with their accompanying metadata, are crucial enablers of the FAIR principles (Findable, Accessible, Interoperable, and Reusable). PIDs ensure that digital objects can be located, accessed, and reused by humans and machines alike, while metadata provides essential information about research objects, including their origin, content, and format.\u0000In the research ecosystem, each stakeholder has a role to play in integrating PIDs into their workflows. Publishers, for example, can assign DOIs (Digital Object Identifiers) to articles, books, and other publications, making them easily findable and citable. Repositories can assign PIDs to datasets, making them discoverable and accessible. Researchers can use PIDs to link their data to their publications, ensuring that their data is discoverable and can be reused in future research.\u0000Despite the importance of PIDs and metadata, it's not always clear to researchers how to take advantage of the existing infrastructure and make their outputs FAIR. Being aware of the available PIDs, such as DOIs, ORCIDs, and RORs, and how they can be used to identify, connect, and cite various types of outputs and resources can help researchers plan and execute sensible data management, sharing, and publishing decisions that are efficient and beneficial in the long term.\u0000In the Implementing FAIR Workflows Project, DataCite works with a team of researchers at the Max Planck Institute for Empirical Aesthetics to follow along a neuroscience PhD project from the beginning, to design and plan for a series of workflows that put the FAIR principles into practice, so that they become an inherent part of the research process, instead of an afterthought. The FAIR workflows researcher is undertaking in the project include data management planning, experiment preregistration, domain-specific metadata capturing and archiving, data and code sharing, preprinting, and open access publishing. We have also been tracking the time spent on various types of FAIR and Open activities, hoping to shed a light on the actual time commitment expected for a FAIRly conducted research project.\u0000We share our experience so far implementing these workflows with the Edinburgh Open Science community - the approach we used, the steps we’ve taken, and the outcomes and challenges that surfaced during the process. We are also preparing a guide for researchers to take on FAIR research workflows in their day-to-day work based on the lessons learned in the project, we look forward to taking the opportunity to hear from the community whether it resonates, and how can we format it in a way that’s most useful.","PeriodicalId":244254,"journal":{"name":"Edinburgh Open Research","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131221326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Physical hardware underpins research in many disciplines. From computing devices, scientific instrumentation, and biological reagents, to remote sensing satellites, researchers rely on hardware to explore and understand the world. However, research equipment is typically based on closed source (i.e. proprietary) hardware, whose designs are legally restricted, preventing others from studying, building, or modifying them. These restrictions cause several problems such as: lack of reproducibility; duplication of effort; forced obsolescence; and higher costs. Crucially, the inefficiencies of closed source hardware reinforce global inequities. This is because the design and manufacturing of research equipment is often monopolised by producers in the Global North. Restricted access to hardware designs mean that only authorised dealers and technicians are allowed to sell or maintain equipment. These services are often unavailable to, or prohibitively expensive for, researchers belonging to historically marginalised communities outside of the Global North. Building on the success of open source software, open source hardware is defined as any physical artefact whose “design is made publicly available with explicit, legally binding freedoms for anyone to study, modify, distribute, make, and sell the design or hardware based on that design”. Open science hardware is an emerging field of practice which studies and applies the principles of open source hardware to research contexts. In 2021, it was formally recognised as a key component in the UNESCO Recommendation on Open Science. Open science hardware provides many benefits compared to its proprietary counterparts. This can include cost savings of up to 87% (Pearce, 2020) and proportional to how often it is replicated; quicker iteration of designs; and adaptation to local needs in underserved communities. Since the 2010s, open science hardware has been developed and used in diverse domains from environmental monitoring, and lab automation, to microscopy. In addition to academics, open science hardware is commonly built by citizen science communities and adapted for different purposes. Other practitioners of open science hardware include educators, social innovators, or artists. In this talk, we provide an overview of open science hardware and the problems it solves. We also provide successful examples of open science hardware projects that serve to not only do good science, but also address global inequities. The talk also presents the Gathering for Open Science Hardware, an international network working towards the adoption of open source hardware across research lifecycle.
{"title":"Open Science Hardware for Realising Globally Equitable Knowledge Production","authors":"P. Hsing, Brianna Johns","doi":"10.2218/eor.2023.8112","DOIUrl":"https://doi.org/10.2218/eor.2023.8112","url":null,"abstract":"Physical hardware underpins research in many disciplines. From computing devices, scientific instrumentation, and biological reagents, to remote sensing satellites, researchers rely on hardware to explore and understand the world. However, research equipment is typically based on closed source (i.e. proprietary) hardware, whose designs are legally restricted, preventing others from studying, building, or modifying them. These restrictions cause several problems such as: lack of reproducibility; duplication of effort; forced obsolescence; and higher costs. \u0000Crucially, the inefficiencies of closed source hardware reinforce global inequities. This is because the design and manufacturing of research equipment is often monopolised by producers in the Global North. Restricted access to hardware designs mean that only authorised dealers and technicians are allowed to sell or maintain equipment. These services are often unavailable to, or prohibitively expensive for, researchers belonging to historically marginalised communities outside of the Global North. \u0000Building on the success of open source software, open source hardware is defined as any physical artefact whose “design is made publicly available with explicit, legally binding freedoms for anyone to study, modify, distribute, make, and sell the design or hardware based on that design”. Open science hardware is an emerging field of practice which studies and applies the principles of open source hardware to research contexts. In 2021, it was formally recognised as a key component in the UNESCO Recommendation on Open Science. Open science hardware provides many benefits compared to its proprietary counterparts. This can include cost savings of up to 87% (Pearce, 2020) and proportional to how often it is replicated; quicker iteration of designs; and adaptation to local needs in underserved communities. \u0000Since the 2010s, open science hardware has been developed and used in diverse domains from environmental monitoring, and lab automation, to microscopy. In addition to academics, open science hardware is commonly built by citizen science communities and adapted for different purposes. Other practitioners of open science hardware include educators, social innovators, or artists. \u0000In this talk, we provide an overview of open science hardware and the problems it solves. We also provide successful examples of open science hardware projects that serve to not only do good science, but also address global inequities. The talk also presents the Gathering for Open Science Hardware, an international network working towards the adoption of open source hardware across research lifecycle. \u0000 ","PeriodicalId":244254,"journal":{"name":"Edinburgh Open Research","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133381289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The COVID-19 pandemic demonstrated the potential strengths and existing weaknesses of open science practices and open data sharing to addressing urgent social and technological challenges. It was a time when pathogen genomic data was shared worldwide to characterise virus outbreaks, track the mutation and spread of the virus, and develop public health responses. However, this brought a renewed focus to the practice, incentives and infrastructures that crucially enable data sharing and reuse. In 2022, the Department for Business, Energy and Industrial Strategy commissioned Research Consulting to investigate the opportunities and challenges associated with open data sharing during the pandemic. This work follows a commitment made during the UK’S G7 Presidency, as published in the G7 Research Compact, and its findings are closely aligned to those outlined in the World Health Organization’s recently published guiding principles for pathogen genome data sharing. Our talk draws on evidence base of 295 sources, the views of 24 interviewees, and insights from 18 international peer reviewers to present five key lessons that can be learnt to enable preparedness for future pandemics.
{"title":"Applying Intelligent Open Science to Combat Future Pandemics","authors":"Lucia Loffreda, Eleanor Cox, Rob Johnson","doi":"10.2218/eor.2023.8105","DOIUrl":"https://doi.org/10.2218/eor.2023.8105","url":null,"abstract":"The COVID-19 pandemic demonstrated the potential strengths and existing weaknesses of open science practices and open data sharing to addressing urgent social and technological challenges. It was a time when pathogen genomic data was shared worldwide to characterise virus outbreaks, track the mutation and spread of the virus, and develop public health responses. However, this brought a renewed focus to the practice, incentives and infrastructures that crucially enable data sharing and reuse.\u0000In 2022, the Department for Business, Energy and Industrial Strategy commissioned Research Consulting to investigate the opportunities and challenges associated with open data sharing during the pandemic. This work follows a commitment made during the UK’S G7 Presidency, as published in the G7 Research Compact, and its findings are closely aligned to those outlined in the World Health Organization’s recently published guiding principles for pathogen genome data sharing.\u0000Our talk draws on evidence base of 295 sources, the views of 24 interviewees, and insights from 18 international peer reviewers to present five key lessons that can be learnt to enable preparedness for future pandemics.","PeriodicalId":244254,"journal":{"name":"Edinburgh Open Research","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126435615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This talk uses real-world case studies to explore where and how open research can address global challenges and make a difference in the lives of everyday people worldwide. We explore these challenges through the work of UCL’s Office for Open Science and Scholarship and discuss how it is approaching support for similar projects and the expansion of the institution’s achievements in Open Science across the board.
{"title":"Open Science in the Wild","authors":"Kirsty Wallis","doi":"10.2218/eor.2023.8119","DOIUrl":"https://doi.org/10.2218/eor.2023.8119","url":null,"abstract":"This talk uses real-world case studies to explore where and how open research can address global challenges and make a difference in the lives of everyday people worldwide. We explore these challenges through the work of UCL’s Office for Open Science and Scholarship and discuss how it is approaching support for similar projects and the expansion of the institution’s achievements in Open Science across the board.","PeriodicalId":244254,"journal":{"name":"Edinburgh Open Research","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126574241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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