Neville Prendergast gave this presentation during the "Understanding E-Science: A Symposium for Medical Librarians" on February 13, 2012 in Houston, TX.
This document discusses the role of university libraries in managing research data. It notes that research funding agencies now see the need to preserve and curate research data after publication. Many view libraries, especially university libraries, as well-suited to manage research data. The document then provides examples of how selected university libraries worldwide are taking on roles in research data management and highlights the University of Malaya Library's current and potential future involvement in managing research data.
Organizational Implications of Data Science Environments in Education, Resear...Victoria Steeves
Data science (DS) poses key organizational challenges for academic institutions. DS is a multidisciplinary field that includes a range of research methodologies and fields of inquiry. DS as a domain is interested in many of the same issues as libraries: data access and curation, reproducibility, the value of ontologies, and open scholarship. At the same time, identifying opportunities to collaborate and deploy unified services can be challenging. The Data Science Environment (DSE) program, co-funded by the Gordon and Betty Moore and Alfred P. Sloan foundations, provides resources to help universities develop collaborations between researchers, develop tools in DS, and create new career paths for data scientists. Working groups within the DSE focus on reproducibility, career paths, education/training, research methods, space issues, and software/tools. This program has introduced new opportunities for libraries to explore how to engage with this community and consider how to bring the expertise in the DS community to bear on library missions and goals. In this panel, program members from each of the three partner universities, the University of Washington, New York University and the University of California, Berkeley, consider the research questions of the DSE and the organizational impact of these groups in the University as a whole and for the libraries specifically. The panel will employ a case-study presentation model framed through three lenses: the role of data sciences in information science, the
potential career paths for data scientists in libraries, and the potential
amplification of information services (e.g. data curation, institutional repositories, scholarly publishing).
CNI Program: Talk Description: https://www.cni.org/topics/digital-curation/organizational-implications-of-data-science-environments-in-education-research-and-research-management-in-libraries
Video of Talk--Vimeo: https://vimeo.com/149713097
Video of Talk--YouTube: https://www.youtube.com/watch?v=L0G9JsPMEXY
Helping Faculty Help Themselves: Open Access and Data Management Consulting A...Spencer Keralis
This presentation describes initiatives at University of North Texas to support Open Access and Open Data, including the DataRes Project, the UNT Open Access Symposium, and the Denton Declaration. Presented as a Synch Session for Council on Library and Information Resources Fellows, Feb 7, 2013.
Using a Case Study to Teach Data Management to LibrariansSherry Lake
This document outlines the agenda and learning objectives for a workshop on research data management for libraries. The workshop uses a case study approach and hands-on activities to teach librarians best practices for data collection, organization, documentation, backup/storage, and sharing/preservation. The goal is to prepare librarians to teach researchers about data management and illustrate opportunities for library involvement in the area. Based on a survey after the workshop, most attendees felt their expectations were met or exceeded, and they found the hands-on case study activities and practical tips to be most useful.
RDAP 15 EarthCollab: Connecting Scientific Information Sources using the Sema...ASIS&T
Research Data Access and Preservation Summit, 2015
Minneapolis, MN
April 22-23, 2015
Erica M. Johns, Jon Corson-Rikert, Huda J. Khan, Dean B. Krafft and Matthew S. Mayernik
This document discusses the role of university libraries in managing research data. It notes that research funding agencies now see the need to preserve and curate research data after publication. Many view libraries, especially university libraries, as well-suited to manage research data. The document then provides examples of how selected university libraries worldwide are taking on roles in research data management and highlights the University of Malaya Library's current and potential future involvement in managing research data.
Organizational Implications of Data Science Environments in Education, Resear...Victoria Steeves
Data science (DS) poses key organizational challenges for academic institutions. DS is a multidisciplinary field that includes a range of research methodologies and fields of inquiry. DS as a domain is interested in many of the same issues as libraries: data access and curation, reproducibility, the value of ontologies, and open scholarship. At the same time, identifying opportunities to collaborate and deploy unified services can be challenging. The Data Science Environment (DSE) program, co-funded by the Gordon and Betty Moore and Alfred P. Sloan foundations, provides resources to help universities develop collaborations between researchers, develop tools in DS, and create new career paths for data scientists. Working groups within the DSE focus on reproducibility, career paths, education/training, research methods, space issues, and software/tools. This program has introduced new opportunities for libraries to explore how to engage with this community and consider how to bring the expertise in the DS community to bear on library missions and goals. In this panel, program members from each of the three partner universities, the University of Washington, New York University and the University of California, Berkeley, consider the research questions of the DSE and the organizational impact of these groups in the University as a whole and for the libraries specifically. The panel will employ a case-study presentation model framed through three lenses: the role of data sciences in information science, the
potential career paths for data scientists in libraries, and the potential
amplification of information services (e.g. data curation, institutional repositories, scholarly publishing).
CNI Program: Talk Description: https://www.cni.org/topics/digital-curation/organizational-implications-of-data-science-environments-in-education-research-and-research-management-in-libraries
Video of Talk--Vimeo: https://vimeo.com/149713097
Video of Talk--YouTube: https://www.youtube.com/watch?v=L0G9JsPMEXY
Helping Faculty Help Themselves: Open Access and Data Management Consulting A...Spencer Keralis
This presentation describes initiatives at University of North Texas to support Open Access and Open Data, including the DataRes Project, the UNT Open Access Symposium, and the Denton Declaration. Presented as a Synch Session for Council on Library and Information Resources Fellows, Feb 7, 2013.
Using a Case Study to Teach Data Management to LibrariansSherry Lake
This document outlines the agenda and learning objectives for a workshop on research data management for libraries. The workshop uses a case study approach and hands-on activities to teach librarians best practices for data collection, organization, documentation, backup/storage, and sharing/preservation. The goal is to prepare librarians to teach researchers about data management and illustrate opportunities for library involvement in the area. Based on a survey after the workshop, most attendees felt their expectations were met or exceeded, and they found the hands-on case study activities and practical tips to be most useful.
RDAP 15 EarthCollab: Connecting Scientific Information Sources using the Sema...ASIS&T
Research Data Access and Preservation Summit, 2015
Minneapolis, MN
April 22-23, 2015
Erica M. Johns, Jon Corson-Rikert, Huda J. Khan, Dean B. Krafft and Matthew S. Mayernik
This document summarizes a presentation about research data management (RDM) at the University of Pretoria. It discusses the university's efforts to implement RDM, including conducting surveys of current practices, developing policies, and piloting RDM projects. Two key pilot projects involved using the Alfresco content management system to manage research data from the Institute for Cellular and Molecular Medicine and a neurophysiology group. The presentation outlines the university's process for implementing these pilots and next steps around dissemination, preservation, and addressing ongoing hurdles in developing comprehensive RDM.
Digital Frontiers 2014: Developing Library Services for Digital Humanities & ...librarianrafia
The document discusses a qualitative research study conducted with faculty at a university to understand how libraries can better support digital humanities and e-science projects. Interviews revealed that faculty have a number of technological needs, including more bandwidth, storage space, software, and training. Respondents saw a role for libraries in curating and providing access to datasets, assisting with writing data management plans, and archiving and preserving research data. Overall, the study found that digital humanities projects require institutional support across areas like technology and libraries.
Poster RDAP13: Data information literacy multiple paths to a single goalASIS&T
Jake Carlson, Jon Jeffryes, Brian Westra and Sarah Wright
Data Information Literacy: Multiple Paths to a Single Goal
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
Instructional Data Sets from Q-step Launch Event (Univ of Exeter) 3-20-2014ICPSR
Presentation about using social science data in the classroom and creating (and finding) resources with which to do it. Addresses both substantive courses and research methods/statistics courses.
RDAP14: Collaboration and tension between institutions and units providing da...ASIS&T
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
David Minor, University of California, San Diego
Amanda Whitmire, Oregon State University
Stephanie Wright, University of Washington
Lisa Zilinski, Purdue University
The goal of the Very Open Data Project is to provide a software-technical foundation for this exchange of data, more specifically to provide an open database platform for data from the raw data coming from experimental measurements or models through intermediate manipulations to finally published results. The sheer expanse of the amount data involved creates some unique software-technical challenges. One of these challenges is addressed in the part of the study presented here, namely to characterize scientific data (with the initial focus being detailed chemistry data from the combustion kinetic community), so that efficient searches can be made. A formalization of this characterization comes in the form of schemas of descriptions of tags and keywords describing data and ontologies describing the relationship between data types and the relationship between the characterizations themselves. These will be translated to meta-data tags connected to the data points within a non-relational data of data for the community.
The focus of the initial work will be on data and its accessibility. As the project progresses, the emphasis will shift on not only having available data accessible for the community, but that the community itself will be able to, with emphasis on minimal effort, will be able contribute their own data. This will involve, for example, the concepts of the ‘electronic lab notebook’ and the existence and availability of extensive concept extraction tools, primarily from the chemical informatics field.
1) Utrecht University has developed a research data policy framework to promote open sharing of research data in response to new funder and legal requirements.
2) In creating the framework, the university consulted with faculty members and considered guidelines from LERU, finding differences in research cultures and needs across disciplines.
3) The framework defines roles and responsibilities, requires data management plans, provides for secure storage and archiving of data, and aims to make data accessible and available for reuse while protecting it appropriately.
4) Next steps include advocacy, training, improving infrastructure and support to fully implement the framework.
The document discusses the University of Kentucky Libraries' efforts to build a digital repository by leveraging partnerships across campus. It outlines how the library advocated for a campus-wide repository model in 2007 and began populating the UKnowledge repository. As new data management requirements emerged from funders like NSF and NIH, the library explored technical options and settled on a microservices-based approach using Hydra, Archivematica, and CDL microservices. The library's roles include technical leadership, metadata, and data management plans, while IT provides storage and infrastructure and research provides policies and proposal support. The initial scope is serving research data needs, with potential future expansion to an enterprise repository.
This document summarizes research computing initiatives at Florida A&M University (FAMU). It discusses plans to establish a new campus computer cluster with 120 cores funded by FAMU, with the goal of increasing the cluster size to 1024-2048 cores through faculty grants. It also notes that approximately 15-20 FAMU faculty currently use high-performance computing for research. Upcoming meetings are planned with Florida LambdaRail and the SSERCA-DDN group to discuss networking and data storage needs. Additionally, the document outlines efforts to develop a computational science program at FAMU to provide training and build skills for students, faculty, and staff across STEM fields. A committee is finalizing plans for a computational science minor
The document describes the Biomedical Resource Ontology (BRO), which provides semantics for annotating resources in Biositemaps. BRO defines types of resources, activities, and areas of research. It has been applied in tools for editing, searching, and discovering resources across multiple institutions. Ongoing work involves expanding BRO terms, separating the ontology from the information model, and integrating with other related projects.
This presentation was provided by Carly Strasser of the Chan Zuckerberg Initiative during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
Poster RDAP13: Research Data in eCommons @ Cornell: Present and FutureASIS&T
Wendy A. Kozlowski, Dianne Dietrich, Gail Steinhart and Sarah Wright
Cornell University Library, Ithaca, NY
Research Data in eCommons @ Cornell: Present and Future
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
Data Science and What It Means to Library and Information ScienceJian Qin
Data science involves collecting, analyzing, and preserving large datasets to extract knowledge and make predictions. It differs from traditional disciplines by dealing with heterogeneous, unstructured data from complex networks. A data scientist requires math, computing, communication skills, and the ability to ask the right questions. Libraries are well-positioned to offer various data services including data discovery, consulting, mining, integration, and curation to support research and decision-making. Practicing data science in libraries requires vision, risk-taking, data science knowledge, careful planning, and collaboration.
The document discusses problems with the traditional scholarly publishing model and how scholarship is being transformed through open access. It summarizes that under the traditional model, commercial publishers profit while libraries face rising subscription costs and authors sign away their rights. This limits access to scholarly work. However, open access provides a solution by making research freely available online under open licenses. The document recommends authors publish in open access journals, deposit work in open repositories, understand their copyright options, and advocate for open access to maximize distribution and impact of their research.
إستخدام النظم الآلية فى المكتبات المدرسية دراسة حالةAhmed Al-ajamy
This document contains summaries of 3 articles from the LISTA database related to integrated library systems (ILS).
The first article compares traditional ILS and next-generation ILS and how they may impact systems and technical services staffing models. It finds next-generation ILS could substantially impact library staffing models.
The second article is a master's thesis that surveys costs and benefits of open source ILS like Koha and Evergreen compared to proprietary ILS. It examines factors like initial costs, satisfaction, customization, hosting, and problems.
The third article interviews librarians who migrated to open source ILS to understand their experiences and lessons learned. It uses the results to create guidelines for each stage of
Feb 26 NISO Training Thursday
Crafting a Scientific Data Management Plan
About the Training
Addressing a data management plan for the first time can be an intimidating exercise. Join NISO for a hands-on workshop that will guide you through the elements of creating a data management plan, including gathering necessary information, identifying needed resources, and navigating potential pitfalls. Participants explore the important components of a data management plan and critique excerpts of sample plans provided by the instructors.
This session is meant to be a guided, step-by-step session that will follow the February 18 NISO Virtual Conference, Scientific Data Management: Caring for Your Institution and its Intellectual Wealth.
About the Instructors
Kiyomi D. Deards, MSLIS, Assistant Professor, University of Nebraska-Lincoln Libraries
Jennifer Thoegersen, Data Curation Librarian, University of Nebraska-Lincoln Libraries
Agencies such as the NSF and NIH require data management plans as part of research proposals and the Office of Science and Technology Policy (OSTP) is requiring federal agencies to develop plans to increase public access to results of federally funded scientific research. These slides explore sustainable data sharing models, including models for sharing restricted-use data. Demos of these models and tips for accessing public data access services are provided as well as resources for creating data management plans for grant applications.
This presentation was provided by Maria Praetzellis of California Digital Library, during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...ASIS&T
Betsy Gunia, David Fearon, Benjamin Brosius, Tim DiLauro
JHU Data Management Services
Johns Hopkins University Sheridan Libraries
A Workflow for Depositing to a Research Data Repository: A Case Study for Archiving Publication Data
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
This presentation was provided by Clara Llebot of Oregon State University, during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
What are we doing about data? Emerging roles in data librarianship and Tales ...Donna Kafel
Slides presented by Donna Kafel and Regina Raboin at the Oct. 13, 2014 meeting of the Oberlin Science Librarians at Williams College. Discusses pivotal events that have fostered the open data movement, emerging roles for librarians, resources from the NE e-Science Program, and the research data management partnerships and initiatives of Tufts University's Library Research Data Services Working Group.
What are we doing about data? Emerging roles in data librarianship and Tales ...Donna Kafel
These slides were presented by Donna Kafel and Regina Raboin at the annual Oberlin Science Librarians meeting on Oct. 13, 2014. Topics include funding data sharing requirements, evolution of data advocacy and data sharing policies, competencies required for managing data, NE e-Science program initiatives,and the activities of Tufts Libraries' Research Data Management Working Group
This document summarizes a presentation about research data management (RDM) at the University of Pretoria. It discusses the university's efforts to implement RDM, including conducting surveys of current practices, developing policies, and piloting RDM projects. Two key pilot projects involved using the Alfresco content management system to manage research data from the Institute for Cellular and Molecular Medicine and a neurophysiology group. The presentation outlines the university's process for implementing these pilots and next steps around dissemination, preservation, and addressing ongoing hurdles in developing comprehensive RDM.
Digital Frontiers 2014: Developing Library Services for Digital Humanities & ...librarianrafia
The document discusses a qualitative research study conducted with faculty at a university to understand how libraries can better support digital humanities and e-science projects. Interviews revealed that faculty have a number of technological needs, including more bandwidth, storage space, software, and training. Respondents saw a role for libraries in curating and providing access to datasets, assisting with writing data management plans, and archiving and preserving research data. Overall, the study found that digital humanities projects require institutional support across areas like technology and libraries.
Poster RDAP13: Data information literacy multiple paths to a single goalASIS&T
Jake Carlson, Jon Jeffryes, Brian Westra and Sarah Wright
Data Information Literacy: Multiple Paths to a Single Goal
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
Instructional Data Sets from Q-step Launch Event (Univ of Exeter) 3-20-2014ICPSR
Presentation about using social science data in the classroom and creating (and finding) resources with which to do it. Addresses both substantive courses and research methods/statistics courses.
RDAP14: Collaboration and tension between institutions and units providing da...ASIS&T
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
David Minor, University of California, San Diego
Amanda Whitmire, Oregon State University
Stephanie Wright, University of Washington
Lisa Zilinski, Purdue University
The goal of the Very Open Data Project is to provide a software-technical foundation for this exchange of data, more specifically to provide an open database platform for data from the raw data coming from experimental measurements or models through intermediate manipulations to finally published results. The sheer expanse of the amount data involved creates some unique software-technical challenges. One of these challenges is addressed in the part of the study presented here, namely to characterize scientific data (with the initial focus being detailed chemistry data from the combustion kinetic community), so that efficient searches can be made. A formalization of this characterization comes in the form of schemas of descriptions of tags and keywords describing data and ontologies describing the relationship between data types and the relationship between the characterizations themselves. These will be translated to meta-data tags connected to the data points within a non-relational data of data for the community.
The focus of the initial work will be on data and its accessibility. As the project progresses, the emphasis will shift on not only having available data accessible for the community, but that the community itself will be able to, with emphasis on minimal effort, will be able contribute their own data. This will involve, for example, the concepts of the ‘electronic lab notebook’ and the existence and availability of extensive concept extraction tools, primarily from the chemical informatics field.
1) Utrecht University has developed a research data policy framework to promote open sharing of research data in response to new funder and legal requirements.
2) In creating the framework, the university consulted with faculty members and considered guidelines from LERU, finding differences in research cultures and needs across disciplines.
3) The framework defines roles and responsibilities, requires data management plans, provides for secure storage and archiving of data, and aims to make data accessible and available for reuse while protecting it appropriately.
4) Next steps include advocacy, training, improving infrastructure and support to fully implement the framework.
The document discusses the University of Kentucky Libraries' efforts to build a digital repository by leveraging partnerships across campus. It outlines how the library advocated for a campus-wide repository model in 2007 and began populating the UKnowledge repository. As new data management requirements emerged from funders like NSF and NIH, the library explored technical options and settled on a microservices-based approach using Hydra, Archivematica, and CDL microservices. The library's roles include technical leadership, metadata, and data management plans, while IT provides storage and infrastructure and research provides policies and proposal support. The initial scope is serving research data needs, with potential future expansion to an enterprise repository.
This document summarizes research computing initiatives at Florida A&M University (FAMU). It discusses plans to establish a new campus computer cluster with 120 cores funded by FAMU, with the goal of increasing the cluster size to 1024-2048 cores through faculty grants. It also notes that approximately 15-20 FAMU faculty currently use high-performance computing for research. Upcoming meetings are planned with Florida LambdaRail and the SSERCA-DDN group to discuss networking and data storage needs. Additionally, the document outlines efforts to develop a computational science program at FAMU to provide training and build skills for students, faculty, and staff across STEM fields. A committee is finalizing plans for a computational science minor
The document describes the Biomedical Resource Ontology (BRO), which provides semantics for annotating resources in Biositemaps. BRO defines types of resources, activities, and areas of research. It has been applied in tools for editing, searching, and discovering resources across multiple institutions. Ongoing work involves expanding BRO terms, separating the ontology from the information model, and integrating with other related projects.
This presentation was provided by Carly Strasser of the Chan Zuckerberg Initiative during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
Poster RDAP13: Research Data in eCommons @ Cornell: Present and FutureASIS&T
Wendy A. Kozlowski, Dianne Dietrich, Gail Steinhart and Sarah Wright
Cornell University Library, Ithaca, NY
Research Data in eCommons @ Cornell: Present and Future
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
Data Science and What It Means to Library and Information ScienceJian Qin
Data science involves collecting, analyzing, and preserving large datasets to extract knowledge and make predictions. It differs from traditional disciplines by dealing with heterogeneous, unstructured data from complex networks. A data scientist requires math, computing, communication skills, and the ability to ask the right questions. Libraries are well-positioned to offer various data services including data discovery, consulting, mining, integration, and curation to support research and decision-making. Practicing data science in libraries requires vision, risk-taking, data science knowledge, careful planning, and collaboration.
The document discusses problems with the traditional scholarly publishing model and how scholarship is being transformed through open access. It summarizes that under the traditional model, commercial publishers profit while libraries face rising subscription costs and authors sign away their rights. This limits access to scholarly work. However, open access provides a solution by making research freely available online under open licenses. The document recommends authors publish in open access journals, deposit work in open repositories, understand their copyright options, and advocate for open access to maximize distribution and impact of their research.
إستخدام النظم الآلية فى المكتبات المدرسية دراسة حالةAhmed Al-ajamy
This document contains summaries of 3 articles from the LISTA database related to integrated library systems (ILS).
The first article compares traditional ILS and next-generation ILS and how they may impact systems and technical services staffing models. It finds next-generation ILS could substantially impact library staffing models.
The second article is a master's thesis that surveys costs and benefits of open source ILS like Koha and Evergreen compared to proprietary ILS. It examines factors like initial costs, satisfaction, customization, hosting, and problems.
The third article interviews librarians who migrated to open source ILS to understand their experiences and lessons learned. It uses the results to create guidelines for each stage of
Feb 26 NISO Training Thursday
Crafting a Scientific Data Management Plan
About the Training
Addressing a data management plan for the first time can be an intimidating exercise. Join NISO for a hands-on workshop that will guide you through the elements of creating a data management plan, including gathering necessary information, identifying needed resources, and navigating potential pitfalls. Participants explore the important components of a data management plan and critique excerpts of sample plans provided by the instructors.
This session is meant to be a guided, step-by-step session that will follow the February 18 NISO Virtual Conference, Scientific Data Management: Caring for Your Institution and its Intellectual Wealth.
About the Instructors
Kiyomi D. Deards, MSLIS, Assistant Professor, University of Nebraska-Lincoln Libraries
Jennifer Thoegersen, Data Curation Librarian, University of Nebraska-Lincoln Libraries
Agencies such as the NSF and NIH require data management plans as part of research proposals and the Office of Science and Technology Policy (OSTP) is requiring federal agencies to develop plans to increase public access to results of federally funded scientific research. These slides explore sustainable data sharing models, including models for sharing restricted-use data. Demos of these models and tips for accessing public data access services are provided as well as resources for creating data management plans for grant applications.
This presentation was provided by Maria Praetzellis of California Digital Library, during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...ASIS&T
Betsy Gunia, David Fearon, Benjamin Brosius, Tim DiLauro
JHU Data Management Services
Johns Hopkins University Sheridan Libraries
A Workflow for Depositing to a Research Data Repository: A Case Study for Archiving Publication Data
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
This presentation was provided by Clara Llebot of Oregon State University, during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
What are we doing about data? Emerging roles in data librarianship and Tales ...Donna Kafel
Slides presented by Donna Kafel and Regina Raboin at the Oct. 13, 2014 meeting of the Oberlin Science Librarians at Williams College. Discusses pivotal events that have fostered the open data movement, emerging roles for librarians, resources from the NE e-Science Program, and the research data management partnerships and initiatives of Tufts University's Library Research Data Services Working Group.
What are we doing about data? Emerging roles in data librarianship and Tales ...Donna Kafel
These slides were presented by Donna Kafel and Regina Raboin at the annual Oberlin Science Librarians meeting on Oct. 13, 2014. Topics include funding data sharing requirements, evolution of data advocacy and data sharing policies, competencies required for managing data, NE e-Science program initiatives,and the activities of Tufts Libraries' Research Data Management Working Group
Research Data and the Role of University LibrariesJohn P. Murtagh
This document discusses the role of university libraries in research data management. It notes that funders now require wider access to research data and universities are involved due to public pressure and obligations to research assets. Libraries are well-positioned to provide research data management support given their expertise in information management, training, and long-term preservation of knowledge. The document outlines a project at the University of East London where the library is providing training to students and staff on best practices for research data management and helping to embed these practices across disciplines.
The document discusses the history and future of open science. It describes how open science has evolved from early empirical studies to today's data-driven computational research. Currently, many projects and repositories are making scientific data and findings openly accessible online. However, challenges remain regarding policies, infrastructure, and cultural changes. Moving forward, librarians can help by supporting data management, metadata standards, and identifying appropriate repositories for preserving and sharing research. The future of open science relies on continued collaboration across disciplines to facilitate data-intensive discovery.
Research Data Management in Academic Libraries: Meeting the ChallengeSpencer Keralis
TLA Program Committee sponsored Preconference talk from Texas Library Association Conference 2013.
CPE#388: SBEC 1.0; TSLAC 1.0
April 24, 2013; 4:00 -4:50 pm
Managing research data is a hot topic in academic libraries. With increased government oversight of publicly-funded research projects, librarians must strive to meet the demand for innovative solutions for managing research information and training the new eneration of librarians to address this issue.
2-6-14 ESI Supplemental Webinar: The Data Information Literacy ProjectDuraSpace
The document summarizes a webinar about the past, present, and future of the Data Information Literacy Project. The project aims to identify data literacy skills for different disciplines, build infrastructure for teaching those skills, and develop a toolkit for librarians. Case studies were conducted at 5 universities to determine data needs of students and faculty. Educational programs were developed and a symposium and toolkit are planned next. The project identifies 12 core data literacy competencies and aims to develop standards in this area.
Supporting research life cycle librariansSherry Lake
The document discusses the role of academic libraries in supporting the research data lifecycle. It notes trends like increasing data regulation and a lack of data management training for researchers. Libraries are well-positioned to help address these challenges due to their expertise in areas like intellectual property, relationship building, and providing access to information. The document outlines how roles like the data research scientist and research data management librarian can help libraries engage with researchers throughout the entire data lifecycle from collection to long-term preservation.
Designing and delivering an international MOOC on Research Data Management an...Robin Rice
This document discusses the design and delivery of an international MOOC on research data management and sharing. The MOOC was created by Dr. Helen Tibbo of UNC-Chapel Hill and Robin Rice of the University of Edinburgh. It was partially funded by several organizations and aimed to educate librarians, researchers, and students on best practices for data management, sharing, and archiving. The MOOC covered topics like understanding research data, data management planning, working with data, sharing data, and archiving data. Feedback from participants showed they found the course informative and useful for learning about research data management.
This document summarizes Sherry Lake's presentation on re-tooling libraries to support data management. Some key points:
- The University of Virginia restructured its research support model in 2010 to focus on data management and created the Scientific Data Consulting Group.
- Other models discussed include groups at Purdue, Johns Hopkins, Cornell, Wisconsin, and Rutgers that provide data management consulting and services.
- Re-skilling existing staff involves training librarians through courses, workshops, and data interviews to build expertise in areas like data formats, metadata, and data management plans.
- Multiple areas of competency are important for supporting research data, including information science, computer science, domain expertise, management
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Building Best Practices in Research Data Management: Tisch Library’s Initiatives
Regina F. Raboin, Science Research and Instruction Librarian/ Data Management Services Group Coordinator, Tisch Library, Tufts University
Survey of research data management practices up2010heila1
The document summarizes the findings of a survey conducted by the University of Pretoria Library Services department from October 2009 to March 2010. The survey interviewed 52 researchers and students to evaluate current research data management practices. It found that while support for research activities is good, data management practices are ad hoc and informal. Top needs identified were a central data repository and increased storage options. The report recommends establishing a research data manager position and exploring partnerships with national data initiatives.
Realizing the Potential of Research Data by Carole L. Palmer carolelynnpalmer
The document discusses the challenges and opportunities in realizing the potential of research data. It notes that while institutions are well positioned with expertise and infrastructure to support data-intensive research, the scale and pace of changes pose significant challenges. New programs have emerged to train experts in data curation and e-science, and there is an abundance of data repositories, standards, and initiatives. Realizing the full potential of research data will require overcoming issues of interoperability between heterogeneous distributed data sources and establishing consensus around data sharing policies and practices.
Survey of research data management practices up2010digschol2011heila1
An analysis of data management practices at a large South African university was conducted through interviews with researchers and students to identify needs and challenges. The findings showed that while data collection methods vary, data storage is often ad hoc with no centralized support or resources. Researchers expressed a need for a central university server or repository for secure data storage and assistance with time constraints. It was concluded that a formal research data management program and staff support are needed to improve current practices.
The Challenges of Making Data Travel, by Sabina LeonelliLEARN Project
1st LEARN Workshop. Embedding Research Data as part of the research cycle. 29 Jan 2016. Presentation by Sabina Leonelli, Exeter Centre for the Study of Life Sciences (Egenis) & Department of Sociology, Philosophy and Anthropology, University of Exeter
Preparing Librarians for Roles in E-ScienceElaine Martin
The presentation how librarians can contribute to the emerging field of E-Science and establish relevancy to information institutions. An overview of the field, resource links, Science Boot camps, and other opportunities are covered.
About the Webinar
Presenters will discuss the role of the library in the academic research enterprise and provide an overview of new librarian strategies, tools, and technologies developed to support the lifecycle of scholarly production and data curation. Specific challenges that face research libraries will be described and potential responses will be explored, along with a discussion of the types of skills and services that will be required for librarians to effectively curate research output.
RDAP14: Building a data management and curation program on a shoestring budgetASIS&T
Research Data Access and Preservation Summit, 2014
San Diego, CA
Margaret Henderson
Director, Research Data Management
Virginia Commonwealth University
The document outlines plans to build a research data management program at Virginia Commonwealth University (VCU) on a limited budget. It discusses creating a web presence, developing open classes on data management, surveying campus groups working with data, conducting researcher interviews, analyzing needs, and developing policies and services. The goal is a flexible infrastructure to support the evolving research enterprise at VCU through collaboration with various stakeholders.
The document outlines plans to build a research data management program at Virginia Commonwealth University (VCU) on a limited budget. It discusses creating a web presence, developing open classes on data management, surveying campus groups working with data, conducting researcher interviews, analyzing needs, and training librarians. The goal is a flexible infrastructure to support the evolving research enterprise through consultation, curation, and archiving of research data. Challenges include identifying resources and assessing needs across a large university with tight budgets.
Similar to Neville Prendergast "E-Science - What is it?" (20)
To enter the library, scan your badge at the designated scanner or register it at the circulation desk. Visit the circulation or reference desks for checkouts, research help, or other questions. The library offers public computers, current journals, print books in stacks, study areas, recreational material, classes, amenities, and group study rooms at the Study Hub. Help is available at the listed website.
When entering the library, scan your badge at the designated scanner or visit the Circulation Desk to register. The Circulation Desk can be used to check out items and register with the library. Reference questions and other inquiries can be directed to the reference desk. The library contains books, journals, study spaces, computers and classrooms across two floors as well as a rare books room and materials from the Harris County Public Library.
Community Training in Evidence Based Practice 3-28-13The TMC Library
- The document outlines an agenda for a training on evidence-based practice resources. It will cover the basics of evidence-based practice, searching PubMed and other resources for literature, and obtaining information from local libraries.
- The training will teach the 5 steps of evidence-based practice: assess the question, ask using PICO format, acquire evidence by searching resources, appraise the evidence found, and apply it. Attendees will learn how to search PubMed and other free resources and formulate searches using PICO.
- Attendees will have time to practice searches in PubMed and other discussed resources to find both filtered and unfiltered evidence on a health topic of their choice.
Understanding eScience: Reflections on a Houston SymposiumThe TMC Library
The document summarizes an eScience symposium hosted by the Texas Medical Center Library. It defines eScience as being data-driven, multi-disciplinary, and fueling the research life cycle. The symposium discussed how librarians can support eScience through roles like data management, liaison work, and promotion. Next steps discussed were for librarians to educate themselves on eScience, establish relevant skillsets, and immerse their organizations in eScience issues and resources.
Layne Johnson "e-Science at the Univeristy of Minnesota"The TMC Library
The document summarizes a presentation on e-science given at the University of Minnesota. It discusses how technological advances have increased data generation in science, requiring greater computing resources and collaboration. It describes the university's experiences developing e-science support initiatives through its libraries, such as providing data management planning assistance and research networking tools. It also outlines future opportunities for libraries to further support e-science needs on issues like privacy, security, and scientists' data needs.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Assessment and Planning in Educational technology.pptxKavitha Krishnan
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
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For more information about PECB:
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This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
1. E-Science – What it is ?
Issues and Challenges for the Library
Neville Prendergast
Matas Library of the Health Sciences
Tulane University School of Medicine, New Orleans, LA
February 13, 2012
Tulane University
2. E-Science defined
• E-Science
– A type of scientific research that uses large scale
computing infrastructure to process very large datasets
and is enabled by the internet, an advances in data mining
techniques.
• E-Research
– is the concept of research using digital technology
(computing, networks, digital data) in the fields of science,
social science, and the humanities.
Tulane University
3. E-science and E-research
together
Are driving what is called the
Research Life Cycle
http://www.jisc.ac.uk/whatwedo/campaigns/res3/jischelp.aspx
Tulane University
4. Demands of the Research Life Cycle
Data Management
Data Curation
Data Stewardship
Tulane University
5. Data Management
• NSF Data Management Plan
– How will data be collected
– Data access and sharing
– Ethical and privacy issues
– Storage issues
Tulane University
6. Data Curation
• Describes the method(s) for preserving and
curating data
– well managed strategic plan – evolves with technology
• Data Curation Task Force
– Purpose – writing mission vision, goals, vetting policies,
creating procedures and guidelines
– Policies- Collection Development, Metadata Standards,
Format Standards
Tulane University
7. Data Stewardship
• IR – institutional repository(ies)
– Staffing
• Metadata Librarian
• Scholarly Communication Librarian
• Data Curator (IT person)
– Training
• Training university-wide
Tulane University
8. Challenges
• Lack of staff – need to retrain or recruit new appropriate staff
• Lack of awareness
• Identifying key folks
• Lack of Funding
• Lack of interest/time
Tulane University
9. ARL E-Science Institute
the TU experience
Built around 4 Modules:
• Baseline – an institutional self assessment
• Context – interview key stakeholders
• Building Blocks – SWOT analysis, devise potential
services towards a strategic agenda
• Capstone Event – complete strategic agenda
Tulane University
10. Questions are welcome!!!
Time permitting
Suggested readings:
Transforming Research Libraries: E-Science
http://www.arl.org/rtl/eresearch/escien/index.shtml
This section of the Association of Research Libraries web site contains reports, articles and events pertaining to the changing roles and training/skill requirements for
librarians as they plan and implement e-science and research data curation support services.
To Stand the Test of Time: Long-Term Stewardship of Digital Data Sets in Science and Engineering
http://www.arl.org/pp/access/nsfworkshop.shtml
This report to the National Science Foundation from an Association of Research Libraries workshop examines the role of academic libraries in supporting science and
engineering through digital data curation.
MIT Libraries -- Data Management and Publishing Guide
http://libraries.mit.edu/guides/subjects/data-management/index.html
This guide, primarily written for researchers, includes an introduction to research data management, a data planning checklist, guidance on creating a data management
plan.
Research Data Management and Publishing Support at Cornell
https://confluence.cornell.edu/display/datasupp/Home
This wiki site serves as a directory to research data services at Cornell and includes details on data management planning, storage and backup services, metadata,
intellectual property, data publication, and more.
Distributed Data Curation Center: Other Data Repositories
http://d2c2.lib.purdue.edu/OtherRepositories.php
Managed by Purdue University Libraries, the Distributed Data Curation Center lists of more than 50 open data repositories.
MIT Data Management and Publishing: Sharing Your Data
http://libraries.mit.edu/guides/subjects/data-management/publishing.html
The MIT Libraries' subject guide on data management and publishing includes a list of open data repositories.
Data Curation Profiles (DCP)
http://datacurationprofiles.org
A collaboration between the Distributed Data Curation Center of the Purdue University Libraries and the Graduate School of Library and Information Science at the
University of Illinois at Urbana-Champaign, this project investigates the practices and attitudes of researchers regarding the data they produce via research.
Tulane University