Presentation accompanying talk on the ANDS Applications program at IDCC 2016. Discusses the outputs of the program, but also focusses on issues of sustainability of such eresearch tools
Research data and the ANDS agenda in AustraliaAndrew Treloar
This document discusses research data and the agenda of the Australian National Data Service (ANDS) in Australia. ANDS was established in 2009 to enable Australian researchers to more easily publish, discover, access and reuse research data. It provides several national services and has funded over 200 projects. The document also outlines relevant national policies and ANDS's involvement in international organizations like the Research Data Alliance.
Birgit Schmidt: RDA for Libraries from an International Perspectivedri_ireland
From "A National Approach to Open Research Data in Ireland", a workshop held on 8 September 2017 in National Library of Ireland, organised by The National Library of Ireland, the Digital Repository of Ireland, the Research Data Alliance and Open Research Ireland.
The document discusses interest from researchers at other universities in Edinburgh's integration of electronic lab notebooks (ELNs) with research data management systems (RDMS). It summarizes the key benefits of RSpace, Edinburgh's ELN and RDMS, including its ability to capture, organize, and share data and files. It connects to Edinburgh's data storage systems and is integrated with their data repository and archive. This provides researchers an integrated research data management workflow.
From "A National Approach to Open Research Data in Ireland", a workshop held on 8 September 2017 in National Library of Ireland, organised by The National Library of Ireland, the Digital Repository of Ireland, the Research Data Alliance and Open Research Ireland.
The document discusses ANDS' efforts to augment data discovery through repurposing DataCite metadata. It describes ANDS' goals of making data more findable, accessible, and reusable. It outlines a three stage plan to provide "See Also" suggestions for datasets: 1) internal suggestions, 2) suggestions from searching DataCite metadata, and 3) potentially integrating additional sources like the National Library of Australia. The "See Also" feature aims to support serendipity in discovery. Future work may include ranking searches and expanding the types of related results provided.
This document discusses data publishing and management. It introduces the advantages of publishing research data, including increasing citations, recognition and meeting grant requirements. It outlines best practices for data management planning and provides examples of data publishing platforms like SHaRED. The document advises that major journals and funding bodies now require data publication in open repositories to promote open access and data sharing in science.
Research data and the ANDS agenda in AustraliaAndrew Treloar
This document discusses research data and the agenda of the Australian National Data Service (ANDS) in Australia. ANDS was established in 2009 to enable Australian researchers to more easily publish, discover, access and reuse research data. It provides several national services and has funded over 200 projects. The document also outlines relevant national policies and ANDS's involvement in international organizations like the Research Data Alliance.
Birgit Schmidt: RDA for Libraries from an International Perspectivedri_ireland
From "A National Approach to Open Research Data in Ireland", a workshop held on 8 September 2017 in National Library of Ireland, organised by The National Library of Ireland, the Digital Repository of Ireland, the Research Data Alliance and Open Research Ireland.
The document discusses interest from researchers at other universities in Edinburgh's integration of electronic lab notebooks (ELNs) with research data management systems (RDMS). It summarizes the key benefits of RSpace, Edinburgh's ELN and RDMS, including its ability to capture, organize, and share data and files. It connects to Edinburgh's data storage systems and is integrated with their data repository and archive. This provides researchers an integrated research data management workflow.
From "A National Approach to Open Research Data in Ireland", a workshop held on 8 September 2017 in National Library of Ireland, organised by The National Library of Ireland, the Digital Repository of Ireland, the Research Data Alliance and Open Research Ireland.
The document discusses ANDS' efforts to augment data discovery through repurposing DataCite metadata. It describes ANDS' goals of making data more findable, accessible, and reusable. It outlines a three stage plan to provide "See Also" suggestions for datasets: 1) internal suggestions, 2) suggestions from searching DataCite metadata, and 3) potentially integrating additional sources like the National Library of Australia. The "See Also" feature aims to support serendipity in discovery. Future work may include ranking searches and expanding the types of related results provided.
This document discusses data publishing and management. It introduces the advantages of publishing research data, including increasing citations, recognition and meeting grant requirements. It outlines best practices for data management planning and provides examples of data publishing platforms like SHaRED. The document advises that major journals and funding bodies now require data publication in open repositories to promote open access and data sharing in science.
The Research Data MANTRA (MANagementTRAining) project at the University of Edinburgh created open online learning materials for research data management. The materials were developed for postgraduate students and early career researchers, grounded in best practices for specific disciplines like social science and geosciences. The course includes video interviews, data exercises, and will be embedded in university graduate programs and available openly online. Key to the project's success will be positive user feedback and increased advocacy for research data management practices across the university. The university also approved a new research data policy to provide guidelines and support for proper data management.
Hilary Hanahoe - The Research Data Alliance in a nutshelldri_ireland
From "A National Approach to Open Research Data in Ireland", a workshop held on 8 September 2017 in National Library of Ireland, organised by The National Library of Ireland, the Digital Repository of Ireland, the Research Data Alliance and Open Research Ireland.
The Odum Institute provides research infrastructure to support the social sciences at UNC. It houses the Lou Harris Data Center and partners on projects to promote open data sharing and reproducible science using the Dataverse platform. Dataverse is an open-source platform developed at Harvard to archive and share research data, assign DOIs, and build a community around data standards and best practices. The Odum Institute is working to improve data reuse by integrating tools like Encapsulator and Code Ocean with Dataverse repositories to facilitate replication.
A short review of the new initiatives related to research data management at Harvard University for the CRADLE workshop at IASSIST 2017 (http://www.iassist2017.org/).
Librarians: how and why manage research data; CDU Darwin 080915Richard Ferrers
An ANDS(.org.au) presentation to Charles Darwin University librarians on research data management (RDM). What is RDM? Why do RDM? How to do RDM? Presentation 08 Sept 2015, Darwin Aust.
Winning the Tour de France, Research Data and Data StewardshipAlastair Dunning
Presentation to Sport Data Valley given at TU Delft Library meeting on value of Data Stewardship and Curation for those working with data from elite and public sport
May 2016
NCRIS supports approximately 40,000 users each year through 27 facilities across 9 focus areas of research including advanced physics, complex biology, digital data and eResearch platforms. Virtual Laboratories are domain-oriented online environments that draw together research data, models, analysis tools and workflows to support collaborative research across institutional and discipline boundaries in domains such as astronomy, climate, ecology, economics, geosciences, humanities, life sciences, marine and social sciences. The document provides links to data aggregators including the Knowledge Network, Trove, and Research Data Australia.
The document discusses TERN, the Terrestrial Ecosystem Research Network, which supports coordinated ecosystem science in Australia through infrastructure and networks. It enables long-term collection, storage, synthesis and sharing of ecosystem data to connect science with policy and management. The Australian Coastal Ecosystems Facility and SEQuITOR project are also summarized as examples of initiatives that leverage TERN's infrastructure to provide access to coastal and southeast Queensland ecosystem data through interactive maps, charts and other tools.
Building a collaborative RDM community, research data networkJisc RDM
This document summarizes Dr. Marta Teperek's presentation on building a collaborative research data management (RDM) community. The presentation covered how not to start RDM services by mandating data sharing, and instead focusing on the benefits of sharing. It discussed Cambridge University's democratic approach to developing RDM services by empowering researchers, and the positive feedback received. Collaboration, open communication, and shaping services and policies with researchers were emphasized as key to success.
It summit dataverse-bigdata-mercecrosaskevin_donovan
This document discusses a data repository system called Dataverse that aims to make research data findable, accessible, interoperable and reusable (FAIR). Dataverse allows researchers to publish, archive and share their data while also providing metadata and access controls. It supports a wide range of data types and large datasets through integrations with other data management systems and cloud storage options.
Observations on a whole lot of Things learned through the 23 (research data) ...ARDC
The 23 (research data) Things program has enabled hundreds of Librarians, data managers, repository managers, research impact staff and others to learn and apply best practice data management principles through examples, activities and stories.
It summit facilitate-researchcomputing-mercecrosaskevin_donovan
This document discusses the increasing complexity of modern research due to factors such as growing data sizes, collaboration across disciplines, and the need to combine multiple data sets and skills. It notes that research is becoming more data-intensive and collaborative. To help researchers with these challenges, Harvard provides a variety of high-performance computing resources and research consultants across different schools to facilitate data-intensive research and provide training in tools like Python, R and GIS.
Outline of some of the opportunities and risks driving universities in the UK to develop services aiming to help researchers manage their data. Gives an overview of funder policies and service components, and suggests where these are heading in the short term.
A presentation by Dr Lesley Thompson, Director of Science & Engineering, EPSRC - given at the Open Science Showcase held by the Royal Society of Chemistry on 26 February 2014.
The document discusses adding value to researchers' data through the Australian National Data Service (ANDS). ANDS aims to transform unmanaged, disconnected data into structured collections that are managed, connected, findable, and reusable. It does this through nationally coordinated engagement with institutions and disciplines. The goal is to help researchers easily publish, discover, access and reuse research data.
Closing comments at #iPres 2014 conferenceAndrew Treloar
This document summarizes the author's observations from attending the iPres 2014 conference. In three sentences: The author notes that some presentations focused on recreating existing infrastructure instead of building on what is there. Several talks emphasized the importance of preserving data and processes to maintain the scholarly record. Overall the conference provided useful reflections on digital preservation practice and experiences, though some theoretical papers seemed detached from real-world challenges.
Introductory talk for ANDS workshop on Institutional Repositories and data. The talk situates the topic within the field of scholarly communication before comparing the relative technical simplicity of running repositories of publications with the complexities that accompany a shift to data. The most-retweeted slide is the one viewing the response of repository managers to data through the lens of Elizabeth Kübler-Ross' stages of grieving.
The document discusses changes in scholarly research and outputs that have implications for data archives. It notes that the research process itself is becoming more visible and dynamic as scholars use websites and tools to record and share their work. This results in a more extensive and heterogeneous scholarly record. However, many of these recording platforms are not designed for long-term archiving. Therefore, archives will need to develop new approaches to account for the characteristics of research recorded on the web, and to trigger the transfer of outputs from recording platforms to long-term archives.
Data management: international challenges, national infrastructure, and insti...Andrew Treloar
This document discusses challenges and responses to data management from an Australian perspective. It outlines international challenges around inconvenient, imprisoned, invisible, and inaccessible data. It then discusses the importance of data reuse for efficiency, validation, and value. Two case studies on astronomy and cancer research demonstrate increased citations when data is publicly shared. The document also outlines Australia's national data service, ANDS, which aims to make data managed, connected, findable, and reusable. ANDS is building national data services and working with institutions to improve data management policies, capture, and metadata. Ongoing issues include balancing local vs national needs, sustainability, and encouraging data sharing cultures.
The Research Data MANTRA (MANagementTRAining) project at the University of Edinburgh created open online learning materials for research data management. The materials were developed for postgraduate students and early career researchers, grounded in best practices for specific disciplines like social science and geosciences. The course includes video interviews, data exercises, and will be embedded in university graduate programs and available openly online. Key to the project's success will be positive user feedback and increased advocacy for research data management practices across the university. The university also approved a new research data policy to provide guidelines and support for proper data management.
Hilary Hanahoe - The Research Data Alliance in a nutshelldri_ireland
From "A National Approach to Open Research Data in Ireland", a workshop held on 8 September 2017 in National Library of Ireland, organised by The National Library of Ireland, the Digital Repository of Ireland, the Research Data Alliance and Open Research Ireland.
The Odum Institute provides research infrastructure to support the social sciences at UNC. It houses the Lou Harris Data Center and partners on projects to promote open data sharing and reproducible science using the Dataverse platform. Dataverse is an open-source platform developed at Harvard to archive and share research data, assign DOIs, and build a community around data standards and best practices. The Odum Institute is working to improve data reuse by integrating tools like Encapsulator and Code Ocean with Dataverse repositories to facilitate replication.
A short review of the new initiatives related to research data management at Harvard University for the CRADLE workshop at IASSIST 2017 (http://www.iassist2017.org/).
Librarians: how and why manage research data; CDU Darwin 080915Richard Ferrers
An ANDS(.org.au) presentation to Charles Darwin University librarians on research data management (RDM). What is RDM? Why do RDM? How to do RDM? Presentation 08 Sept 2015, Darwin Aust.
Winning the Tour de France, Research Data and Data StewardshipAlastair Dunning
Presentation to Sport Data Valley given at TU Delft Library meeting on value of Data Stewardship and Curation for those working with data from elite and public sport
May 2016
NCRIS supports approximately 40,000 users each year through 27 facilities across 9 focus areas of research including advanced physics, complex biology, digital data and eResearch platforms. Virtual Laboratories are domain-oriented online environments that draw together research data, models, analysis tools and workflows to support collaborative research across institutional and discipline boundaries in domains such as astronomy, climate, ecology, economics, geosciences, humanities, life sciences, marine and social sciences. The document provides links to data aggregators including the Knowledge Network, Trove, and Research Data Australia.
The document discusses TERN, the Terrestrial Ecosystem Research Network, which supports coordinated ecosystem science in Australia through infrastructure and networks. It enables long-term collection, storage, synthesis and sharing of ecosystem data to connect science with policy and management. The Australian Coastal Ecosystems Facility and SEQuITOR project are also summarized as examples of initiatives that leverage TERN's infrastructure to provide access to coastal and southeast Queensland ecosystem data through interactive maps, charts and other tools.
Building a collaborative RDM community, research data networkJisc RDM
This document summarizes Dr. Marta Teperek's presentation on building a collaborative research data management (RDM) community. The presentation covered how not to start RDM services by mandating data sharing, and instead focusing on the benefits of sharing. It discussed Cambridge University's democratic approach to developing RDM services by empowering researchers, and the positive feedback received. Collaboration, open communication, and shaping services and policies with researchers were emphasized as key to success.
It summit dataverse-bigdata-mercecrosaskevin_donovan
This document discusses a data repository system called Dataverse that aims to make research data findable, accessible, interoperable and reusable (FAIR). Dataverse allows researchers to publish, archive and share their data while also providing metadata and access controls. It supports a wide range of data types and large datasets through integrations with other data management systems and cloud storage options.
Observations on a whole lot of Things learned through the 23 (research data) ...ARDC
The 23 (research data) Things program has enabled hundreds of Librarians, data managers, repository managers, research impact staff and others to learn and apply best practice data management principles through examples, activities and stories.
It summit facilitate-researchcomputing-mercecrosaskevin_donovan
This document discusses the increasing complexity of modern research due to factors such as growing data sizes, collaboration across disciplines, and the need to combine multiple data sets and skills. It notes that research is becoming more data-intensive and collaborative. To help researchers with these challenges, Harvard provides a variety of high-performance computing resources and research consultants across different schools to facilitate data-intensive research and provide training in tools like Python, R and GIS.
Outline of some of the opportunities and risks driving universities in the UK to develop services aiming to help researchers manage their data. Gives an overview of funder policies and service components, and suggests where these are heading in the short term.
A presentation by Dr Lesley Thompson, Director of Science & Engineering, EPSRC - given at the Open Science Showcase held by the Royal Society of Chemistry on 26 February 2014.
The document discusses adding value to researchers' data through the Australian National Data Service (ANDS). ANDS aims to transform unmanaged, disconnected data into structured collections that are managed, connected, findable, and reusable. It does this through nationally coordinated engagement with institutions and disciplines. The goal is to help researchers easily publish, discover, access and reuse research data.
Closing comments at #iPres 2014 conferenceAndrew Treloar
This document summarizes the author's observations from attending the iPres 2014 conference. In three sentences: The author notes that some presentations focused on recreating existing infrastructure instead of building on what is there. Several talks emphasized the importance of preserving data and processes to maintain the scholarly record. Overall the conference provided useful reflections on digital preservation practice and experiences, though some theoretical papers seemed detached from real-world challenges.
Introductory talk for ANDS workshop on Institutional Repositories and data. The talk situates the topic within the field of scholarly communication before comparing the relative technical simplicity of running repositories of publications with the complexities that accompany a shift to data. The most-retweeted slide is the one viewing the response of repository managers to data through the lens of Elizabeth Kübler-Ross' stages of grieving.
The document discusses changes in scholarly research and outputs that have implications for data archives. It notes that the research process itself is becoming more visible and dynamic as scholars use websites and tools to record and share their work. This results in a more extensive and heterogeneous scholarly record. However, many of these recording platforms are not designed for long-term archiving. Therefore, archives will need to develop new approaches to account for the characteristics of research recorded on the web, and to trigger the transfer of outputs from recording platforms to long-term archives.
Data management: international challenges, national infrastructure, and insti...Andrew Treloar
This document discusses challenges and responses to data management from an Australian perspective. It outlines international challenges around inconvenient, imprisoned, invisible, and inaccessible data. It then discusses the importance of data reuse for efficiency, validation, and value. Two case studies on astronomy and cancer research demonstrate increased citations when data is publicly shared. The document also outlines Australia's national data service, ANDS, which aims to make data managed, connected, findable, and reusable. ANDS is building national data services and working with institutions to improve data management policies, capture, and metadata. Ongoing issues include balancing local vs national needs, sustainability, and encouraging data sharing cultures.
The universe of identifiers and how ANDS is using themAndrew Treloar
Presentation on identifiers in general, and ANDS' approach to identifiers for objects and people in particular. Given at ODIP 3rd Workshop on August 7, 2014.
Provenance in Support of the ANDS Four TransformationsAndrew Treloar
The document discusses the Australian National Data Service (ANDS) and how it uses provenance information to support its four transformations of research data. ANDS aims to make Australian research data more discoverable, accessible, and reusable. It focuses on adding value to data through re-use rather than storing data itself. Provenance capture is important for managing data, connecting related data, improving discoverability, and enabling re-analysis. ANDS has funded projects involving provenance services and integration. Future work includes developing domain-specific extensions to the PROV-O standard and strengthening connections with the Research Data Alliance Interest Group on Provenance.
This document provides an overview of best practices for managing research data. It discusses why data management is important, how to plan for data management by inventorying data, assessing needs, and planning processes. It also covers topics like file formats, documentation, metadata, methods, standards, and storage considerations for both short and long-term. The document emphasizes documenting all decisions and processes, using open standards when possible, and partnering with libraries or repositories for long-term preservation of shared data.
Jeff Haywood - Research Integrity: Institutional ResponsibilityJisc
1) The document discusses challenges and solutions related to research data management (RDM) at the University of Edinburgh. It outlines the university's RDM policy and implementation plan to provide training, support, and services for storing, backing up, and sharing research data.
2) The RDM working group at the university recommended establishing a research data service strategy to provide archiving of data, globally accessible storage, and support for mobile access and collaboration.
3) Key challenges going forward include securing sustainable funding, integrating new services with existing practices, developing support staff skills, and encouraging researcher engagement with new RDM practices.
Some Ideas on Making Research Data: "It's the Metadata, stupid!"Anita de Waard
This document discusses challenges and opportunities around research data management. It notes that while the majority of research data is currently stored locally on hard drives, funding agencies and researchers are increasingly focused on sharing, curating and ensuring long-term access to data. However, there are open questions around how to incentivize researchers to share data, ensure sustainable funding models for repositories, and develop interoperable metadata standards. The document explores potential roles for libraries, institutions, publishers and domain-specific repositories in addressing these issues.
Research Data Service at the University of EdinburghRobin Rice
The University of Edinburgh provides research data management services and resources to support researchers through the entire data lifecycle. These include tools for creating data management plans, storing and sharing research data securely, and preserving data in the long term. The Research Data Service aims to help researchers comply with open science principles and data policies through a range of training programs, online guidance, and technical infrastructure. It has developed a multi-year roadmap and maturity model to continuously improve services based on researchers' needs and priorities like relationship building, communication skills, and consultation.
Warwick Library Symposium | Cathrine Harboe-Ree and David GroenewegenResearchLibrariesUK
This document discusses Monash University Library's efforts to transform scholarship through new roles focused on knowledge management, transforming scholarly communication, and partnering. It outlines the Library's work developing research and work skill development frameworks in collaboration with faculties. It also discusses the Library's initiatives around information literacy, research data management through tools and infrastructure, and open access publishing through the Monash Research Repository. The Library aims to provide convenient research data management tools that empower researchers and enable data storage, sharing, and publishing.
Australia's Environmental Predictive CapabilityTERN Australia
Federating world-leading research, data and technical capabilities to create Australia’s National Environmental Prediction System (NEPS).
Community consultation presentation.
3-12 February 2020
Dr Michelle Barker (Facilitator)
(Presentation v5)
Research Data Support at the University of EdinburghRobin Rice
The document summarizes the research data support services at the University of Edinburgh. It describes the university's background and information services department. It then outlines the maturity model that guides the research data management (RDM) services, the governance structure overseeing the RDM service, and the funding model that supports it. The document also summarizes the university's RDM policy and the various tools and support provided across the research data lifecycle, from creating data management plans and storing data to publishing and preserving data in the long term.
Presentation given at the European Research Council workshop on research data management and sharing in Brussels on 18th-19th September 2014. The presentation covers the benefits and drivers for RDM, points to relevant tools and resources and closes with some open questions for discussion.
Research Integrity Advisor and Data ManagementARDC
Dr Paul Wong from the Australian Research Data Commons presented at the University of Technology Sydney's RIA Data Management Workshop on 21 June 2018. In partnership with the Australian Research Council, the National Health and Medical Research Council, the Australian Research Data Commons, and RMIT University, this is part of a national workshop series in data management for research integrity advisors.
The state of global research data initiatives: observations from a life on th...Projeto RCAAP
This document summarizes the state of global research data initiatives. It discusses that while interest in research data management is growing globally, challenges remain, including lack of advocacy, skills, and incentives. However, it also outlines strengths in many countries through investments in infrastructure and policies. It calls for increased international collaboration and coordination to help manage more research data according to FAIR and open principles.
SGCI Science Gateways Landscape in North AmericaSandra Gesing
Presentation at RDA
A) Approaches to interoperability among Science Gateways
B) Key ingredients for successful and vibrant virtual research communities
C) Sustainability of Science Gateways - what are the current models that work (and conversely have failed))
Sarah Jones RDM from a disciplinary perspectiveJisc
This document discusses research data management from a disciplinary perspective. It begins with an overview of case studies on disciplinary practice from various sources. It then groups disciplines into Arts & Humanities, Social Sciences, Sciences & Engineering, and Life Sciences. For each group, it discusses common practices, challenges, and examples. It also discusses a research data typology commissioned by RLUK to help librarians understand researchers' data needs and types of data across disciplines. Overall, the document provides a high-level overview of differences in research data management practices across broad disciplinary categories.
This document provides an overview of a webinar on digital curation and research data management for universities. The webinar covers an introduction to digital curation, the benefits and drivers for research data management, current initiatives in UK universities, and the role of libraries in supporting research data management. Libraries are increasingly involved in developing institutional policies, providing training, and advising researchers on writing data management plans and sharing data. The webinar highlights training opportunities for librarians to develop skills in research data management and digital curation.
National perspective on eResearch Infrastructure: Andrew TreloarARDC
National perspective on eResearch Infrastructure - the skills priority and the importance of people as infrastructure.
This presentation was part of the CAVAL/ANDS Workshop - Managing library teams for a research and data-intensive future
(Melbourne, 28 July 2017). Workshop program and presentations from other speakers: http://www.ands.org.au/news-and-events/presentations/2017
Research process and research data management. Many universities are looking at how they can better serve the needs of researchers. Ken Chad Consulting worked with the University of Westminster to look the needs and attitudes of researchers and admin staff in terms of research data management (RDM). The result led the University to look first at the whole lifecycle and workflows of research administration. This in turn led to the innovative, rapid development of a system to support researchers and admin staff. Presented by Suzanne Enright (University of Westminster) and Ken Chad at the annual UKSG conference in April 2014
The document summarizes research into developing a single research portal at Westminster University to improve research processes. It found that researchers were unaware of formal research data management practices and struggled with disconnected systems. A proposed solution is a central portal allowing easier identification of support needs, visibility of research, and collaboration. An initial focus on doctoral projects saw time savings. Next steps involve managing research outputs through a single interface. Key lessons are that researchers prefer easy solutions and involvement in development.
CYVERSE: TRANSFORMING LIFE SCIENCE RESEARCH VIA CYBERINFRASTRUCTUREMatthew Vaughn
CyVerse is a cyberinfrastructure that aims to transform life science research through data-driven discovery. It provides data storage, analysis tools, computing resources, and training to help researchers manage and analyze large datasets. CyVerse also collaborates with other projects to build an ecosystem supporting open science. It has already supported over 500 publications and stores over 2 petabytes of user data, demonstrating its impact on the research community.
Cyberinfrastructure and the Research Process in CanadaCANARIE Inc.
The document summarizes the findings of a workshop that discussed cyberinfrastructure and the research process in Canada. Key issues identified included fragmented funding, lack of advanced networks and middleware, need for more computing power and data storage. Suggested solutions were establishing a "Research Canada" organization to provide consolidated access to resources and expertise through a single application process. The vision for 2015 included this consolidation to create a one-stop shop for Canadian researchers' cyberinfrastructure needs.
Similar to ANDS Applications Program: Building Tools to Facilitate Data Reuse (20)
The life-sciences as a pathfinder in data-intensive research practiceAndrew Treloar
Presentation given at UQ Winterschool 2014. The advent of the Internet is bringing about fundamental changes in the ways that research is performed and communicated. These have been particularly driven by the growing importance of data, as well as the tools available to work with this data. This presentation will examine this shift, drawing on examples from the life‐sciences, and try to make some predictions about the next five years.
Past, present, and future of scholarly technology and practicesAndrew Treloar
Thoughts about past, the present and the future of scholarly technologies and scholarly practices. Based on work done with @hvdsomp at #DANS, as well as discussions with @scharnhorsta
Talk given by @atreloar and @hvdsomp at workshop sponsored by http://dans.knaw.nl/ with title "Riding the Wave and the Scholarly Archive of the Future". NOTE: This reflects thinking in progress which may well change in the future.
Data Infrastructure and the Scholarly Ecosystem of the FutureAndrew Treloar
Talk delivered at forum at SURF in the Netherlands with the hashtag #disef. Talk deals with an overview of some thinking being done about elements of the ecosystem for scholarship, as well as some slides dealing with the Australian National Data Service (ands.org.au) and the Research Data Alliance (rd-alliance.org). These latter slides were used during a Q&A session as part of the talk.
This document discusses how data is driving decisions in research. It notes that the amount of data being generated is growing exponentially and researchers are now in the data business. It outlines four transformations needed - from unmanaged to managed data, disconnected to connected data, invisible to findable data, and single-use to reusable data. National strategies in Australia are aiming to support these transformations through initiatives like the Australian National Data Service which provides resources and expertise to help researchers manage, connect, and enable reuse of research data.
Building on the Atlas (of Living Australia)Andrew Treloar
Presentation given at Atlas of Living Australia Science Symposium 2013. Discusses Australian National Data Service Applications program and two specific projects: Soils to Satellites (also involving TERN), and Edgar Bird Species distribution.
Journal literature size in the context of the LHC dataAndrew Treloar
Single slide Powerpoint animation showing the total size of the journal literature in the context of the data produced by the LHC from 2009-2013. Need to view in Slideshow mode.
From Data to Data: One version of a History of Scholarly CommunicationAndrew Treloar
1) Scholarly communication has evolved from early written works and data to modern digital scholarship that generates vast amounts of data.
2) Issues with data preservation, accessibility, and selective publication have impacted the completeness of the evidence base over time.
3) As data-intensive research increases, standardization and data federation are needed to aggregate data from multiple sources and answer new questions.
4) Initiatives like institutional repositories, researcher workflows, and national programs aim to improve data sharing, access, and reuse to support new discoveries.
This document discusses the role of librarians in supporting data management and sharing. It outlines several key services librarians can provide, including:
1. Advising researchers on best practices for planning, creating metadata, storing, describing, identifying, registering, discovering, accessing, and preserving research data.
2. Using their expertise in metadata standards, policies, and procedures to help researchers properly manage and share their data.
3. Partnering with IT and other experts to build and maintain infrastructure for data storage, discovery, and access in order to promote data reuse.
The document argues that as research becomes more data-driven, supporting data services should become a central role for libraries, just as managing
The Australian National Data Service (ANDS) aims to establish an Australian Research Data Commons by providing services for researchers to manage and share research data. Key services discussed include Identify My Data, which allows researchers to allocate persistent identifiers to datasets, and Register My Data, which registers public descriptions of data collections. ANDS uses persistent identifiers and the Handle system to ensure datasets remain identifiable even if their location changes, and is joining DataCite to offer digital object identifiers for published data.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
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See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
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Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
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This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
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2. Outline
ANDS overview
Applications program
Lessons learned
Thoughts on sustainability
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3. ANDS at a glance
In operation since 2009
Approximately AUD90M total investment
45 staff (mostly Melbourne, Canberra)
Working to make Australia’s research data more
valuable
Funding through to mid 2016 (probably 2017)
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4. So that researchers can easily publish, discover, access and use
research data through the Australian Research Data Commons
How Do We Make Data More Valuable?
Increasing Value
5. Key differentiators for ANDS
No actual data storage
Nationally co-ordinated approach
Institutionally-focussed engagement
“helping them meet their research data ambitions”
Engaging with large nationally-funded discipline
investments
Bulk of funds spent outside ANDS
https://projects.ands.org.au/getAllProjects.php?start=all
All disciplines covered
Focus on adding value to data and re-use
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6. Applications Program
“Applications that demonstrate the value of data
integration and analysis to answer complex
research questions”
Enable and promote the fourth transformation
Produce compelling demonstrations that could be
promoted
Typically smallish projects (2 EFT, 1 year)
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7. Discipline distribution
7 projects in bio/characterisation
8 projects in climate change adaptation
10 others (urban planning, marine research,
public health, humanity)
For a completed list of the projects and their
profiles, please visit the ANDS project registry:
https://projects.ands.org.au/getAllProjects.php?start=
app
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13. Lessons learned
Support from research champions was critical
Tight timelines were the enemy of modular
common design
Outreach forms (blogs, videos) were more popular
than expected
Data and system sustainability an ongoing issue
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14. Sustainability challenges
More desire for bespoke solutions than can be met
Every researcher’s needs are “special”
Trade off between individual researcher's need and a research
community's need
Finite amount of the right dev resource available
and keeping them is difficult
Waterfall development will deliver the right solution two
years too late
Communities still constrained by old ways of working
and culture eats technology for breakfast
It takes a planet to maintain a codebase
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15. Sustainability responses
‘Good enough’ solutions are actually just fine most of
the time
Adopt/Adapt/Augment is always better than Build
Existing common toolkits let you focus on the missing
10% of functionality
So don’t start from scratch
But also don’t leech
Involve research champions who can articulate their
community's requirements, and promote project
outcomes
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