Rachael Kotarski
The British Library
Presentation delivered at the ODIN Final Event in Amsterdam (Netherlands) on Wednesday, September 24, 2014: ORCID and DataCite: Towards Holistic Open Research.
More info: www.odin-project.eu
ODIN Final Event - Submission to datacentresdatacite
Sergio Ruiz
DataCite
Presentation delivered at the ODIN Final Event in Amsterdam (Netherlands) on Wednesday, September 24, 2014: ORCID and DataCite: Towards Holistic Open Research.
More info: www.odin-project.eu
ODIN Final Event - Publishing and citing, and the role of persistent identifiersdatacite
Sünje Dallmeier-Tiessen
CERN
Presentation delivered at the ODIN Final Event in Amsterdam (Netherlands) on Wednesday, September 24, 2014: ORCID and DataCite: Towards Holistic Open Research.
More info: www.odin-project.eu
ODIN Final Event - The Care and Feeding of Scientific Datadatacite
Mercè Crosas @mercecrosas
Director of Data Science, IQSS, Harvard University
Presentation delivered at the ODIN Final Event in Amsterdam (Netherlands) on Wednesday, September 24, 2014: ORCID and DataCite: Towards Holistic Open Research.
More info: www.odin-project.eu
Clarivate was selected as the citation provider for the 2018 Excellence in Research for Australia (ERA) evaluation. The role involved preparing, submitting, and checking citation data from Clarivate's databases to support the ERA evaluation. Clarivate mapped institutional publication records to citations in the Web of Science and provided tagging portals and APIs to help with this process. They also offered seminars and support to help universities understand the citation data and benchmarks. Moving forward, Clarivate wants to leverage feedback to better support the quality of Australian research.
Searching beyond datasets in the Social SciencesGESIS
1) State of the art search capabilities at GESIS include curated datasets with metadata and additional materials as well as harvested datasets and linking infrastructure between items.
2) Integrated search allows linking of papers and datasets in both directions to help users.
3) However, social scientists often want to reuse specific parts of datasets, like questions on a particular topic, requiring more fine-grained retrievability and linkages within datasets.
FAIR for the future: embracing all things dataARDC
FAIR for the future: embracing all things data - Natasha Simons, Keith Russell and Liz Stokes, presented at Taylor & Francis Scholarly Summits in Sydney 11 Feb 2019 and Melbourne 14 Feb 2019.
Implementing Archivematica, research data networkJisc RDM
This presentation discusses implementing Archivematica for preserving research data at the University of York and Hull. It covers background on the project, challenges implementing Archivematica, issues with identifying unknown file formats in research data, and future plans to move from proof of concept to production. The project tested pulling metadata from systems into Archivematica for ingest and explored packaging data for long-term preservation and access. A major challenge was the large number of unidentified file formats, which the project is addressing by developing new file format signatures.
Enabling FAIR Data: TAG B Authoring GuidelinesAnita de Waard
The document summarizes the work of the AGU FAIR Data Targeted Adoption Group B, which focused on publishers in Earth and space sciences. The group met frequently and developed a shared set of author guidelines for data availability statements and citations that were signed by participating publishers. The guidelines require authors to deposit data in FAIR-aligned repositories, cite data in articles following joint data citation principles, and include a data availability statement describing how data can be accessed and reused. Exceptions are made for cases where data access is restricted. The group still needs to address implementation challenges and resolve how to link the guidelines to other publisher resources and ensure ongoing oversight.
ODIN Final Event - Submission to datacentresdatacite
Sergio Ruiz
DataCite
Presentation delivered at the ODIN Final Event in Amsterdam (Netherlands) on Wednesday, September 24, 2014: ORCID and DataCite: Towards Holistic Open Research.
More info: www.odin-project.eu
ODIN Final Event - Publishing and citing, and the role of persistent identifiersdatacite
Sünje Dallmeier-Tiessen
CERN
Presentation delivered at the ODIN Final Event in Amsterdam (Netherlands) on Wednesday, September 24, 2014: ORCID and DataCite: Towards Holistic Open Research.
More info: www.odin-project.eu
ODIN Final Event - The Care and Feeding of Scientific Datadatacite
Mercè Crosas @mercecrosas
Director of Data Science, IQSS, Harvard University
Presentation delivered at the ODIN Final Event in Amsterdam (Netherlands) on Wednesday, September 24, 2014: ORCID and DataCite: Towards Holistic Open Research.
More info: www.odin-project.eu
Clarivate was selected as the citation provider for the 2018 Excellence in Research for Australia (ERA) evaluation. The role involved preparing, submitting, and checking citation data from Clarivate's databases to support the ERA evaluation. Clarivate mapped institutional publication records to citations in the Web of Science and provided tagging portals and APIs to help with this process. They also offered seminars and support to help universities understand the citation data and benchmarks. Moving forward, Clarivate wants to leverage feedback to better support the quality of Australian research.
Searching beyond datasets in the Social SciencesGESIS
1) State of the art search capabilities at GESIS include curated datasets with metadata and additional materials as well as harvested datasets and linking infrastructure between items.
2) Integrated search allows linking of papers and datasets in both directions to help users.
3) However, social scientists often want to reuse specific parts of datasets, like questions on a particular topic, requiring more fine-grained retrievability and linkages within datasets.
FAIR for the future: embracing all things dataARDC
FAIR for the future: embracing all things data - Natasha Simons, Keith Russell and Liz Stokes, presented at Taylor & Francis Scholarly Summits in Sydney 11 Feb 2019 and Melbourne 14 Feb 2019.
Implementing Archivematica, research data networkJisc RDM
This presentation discusses implementing Archivematica for preserving research data at the University of York and Hull. It covers background on the project, challenges implementing Archivematica, issues with identifying unknown file formats in research data, and future plans to move from proof of concept to production. The project tested pulling metadata from systems into Archivematica for ingest and explored packaging data for long-term preservation and access. A major challenge was the large number of unidentified file formats, which the project is addressing by developing new file format signatures.
Enabling FAIR Data: TAG B Authoring GuidelinesAnita de Waard
The document summarizes the work of the AGU FAIR Data Targeted Adoption Group B, which focused on publishers in Earth and space sciences. The group met frequently and developed a shared set of author guidelines for data availability statements and citations that were signed by participating publishers. The guidelines require authors to deposit data in FAIR-aligned repositories, cite data in articles following joint data citation principles, and include a data availability statement describing how data can be accessed and reused. Exceptions are made for cases where data access is restricted. The group still needs to address implementation challenges and resolve how to link the guidelines to other publisher resources and ensure ongoing oversight.
Why does research data matter to librariesJisc RDM
- Research data matters to libraries because it is increasingly being produced and collected by researchers, and there are growing requirements to manage and preserve it.
- A survey found that while most researchers currently manage their own data, there is a trend toward using institutional repositories and libraries more for long-term preservation.
- Libraries are well-suited to help with research data management because of their experience organizing and describing information over long periods of time, but there are also challenges due to differences across disciplines in how data is defined and treated.
- As funders and journals require better data sharing practices, libraries have an opportunity to take a more active role in helping researchers and institutions capture, describe, and manage research data over
Fieke Schoots from the Centre of Digital Scholarship provides, in close collaboration with colleagues from other university libraries (UKB), an overview of the policies that publishers increasingly implement regarding the data underlying publications.
Held at the Seminar: ‘The Making of Research Data Management Policy, Wageningen 2016.
THOR Workshop - Data Publishing ElsevierMaaike Duine
Elsevier supports researchers in sharing their data through several programs and services:
1. A data-linking program connects articles to over 60 domain-specific data repositories through in-article data accession numbers and banners.
2. Mendeley Data is Elsevier's research data repository, allowing researchers to store, share and publish research data with a DOI and link to related articles.
3. In-article data visualization tools display plot data from supplementary materials in journals, allowing readers to access, explore and download underlying data.
The document discusses the THOR project, which aims to place Persistent Identifiers (PIDs) at the fingertips of researchers and integrate them into existing research services and outputs. The goals are to uniquely attribute work to researchers and make PID use the default across the research lifecycle. The project focuses on biological sciences, earth sciences, physical sciences, social sciences, and humanities. It provides examples of how PIDs can improve credit for researchers, discoverability and reuse of data and publications, demonstrate value for data centers, improve evidence for publishers, and measure impact for funders.
Stop press: should embargo conditions apply to metadata?Jisc RDM
Sarah Middle of Cambridge University discusses whether embargo conditions should apply to metadata. Session held at the Research Data Network event in May 2016, Cardiff University.
Why would a publisher care about open data?Anita de Waard
A publisher would care about open data for several reasons:
1) Open data increases the value of all parts of the web by allowing programs, not just people, to utilize the data through interconnecting and joining it.
2) Publishers are evolving from linear supply chains focused on content delivery to users, to becoming marketplaces that optimize the number of interactions between users through networked open science.
3) The future of publishing involves networked open science where data is openly accessible, annotated with metadata, and linked together in research objects, increasing findability, accessibility, interoperability, and reusability of research outputs.
This document summarizes a workshop on authority files. It discusses how authority files can transform from library silos to a web of linked data by uniquely identifying entities like people, publications, organizations, and connecting them using identifiers. Four use cases are presented: developing a repository authority file, enhancing a journal authority file to track open access evolution, integrating existing authority files to make cultural data web compliant, and using authority files to enable new analyses and business intelligence from research information systems. The benefits of authority files for discovery, reliability, accountability, and efficiency are outlined. An example of crosswalking different authority files is also provided. The document concludes with an opinion poll on authority file topics.
In order to be reused, research data must be discoverable.
The EPSRC Research Data Expectations* requires research organisations to maintain a data catalogue to record metadata about research data generated by EPSRC-funded research projects.
Universities are increasingly making research data assets available through repositories or other data portals.
The requirement for a UK research data discovery service has grown as universities become more involved in RDM and capacity develops.
Publishing the Full Research Data LifecycleAnita de Waard
This document discusses strategies for supporting open science through the full research cycle and data/software preservation. It outlines current practices for managing, storing, publishing, and reusing research data and software. It proposes improvements like requiring researchers to post datasets to repositories under embargo linked to any subsequent publications to reduce workload, better track outputs, and improve data linking and availability. The goal is to make data sharing and open science practices more seamless and effective.
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.
An update on the latest BioSharing work; including work with ELIXIR and NIH BD2K, also our survey to assess user needs (530 replies) and the work on the recommender tool
Collaboratively creating a network of ideas, data and softwareAnita de Waard
Anita de Waard discusses collectively creating networks to connect ideas, data, and software. This includes work by Elsevier to build a knowledge graph connecting 14 million articles and ongoing efforts to link papers to datasets through various partnerships. De Waard also discusses evaluating data discoverability and the need to consider software as a knowledge object and pay for open infrastructure through new funding models. The goal is to enable sharing of knowledge globally through interconnected systems and partnerships.
Open Access (OA) means free online access to the 2.5 million articles published every year in the world's 25,000 peer-reviewed scholarly and scientific research journals. OA can be provided in two ways: To provide "Green OA," authors self-archive the final refereed drafts of their articles in their institutional OA repositories immediately upon acceptance for publication (by conventional, non-OA journals). To provide "Gold OA," authors publish their articles in OA journals that make all their articles free online immediately upon publication. (Sometimes a fee is charged to the author's institution for Gold OA.) Because of the benefits of OA (in terms of maximized visibility, accessibility, uptake, usage and impact) to research, researchers, their institutions and the taxpayers that fund them, institutions and funders worldwide are increasingly mandating (i.e. requiring) Green OA self-archiving. Gold OA publishing cannot be mandated by authors' institutions and funders, but universal Green OA self-archiving mandates may eventually lead to a global transition to Gold OA publishing; it depends on whether and how long subscriptions remain sustainable as the means of covering the costs of print and online publication; if subscriptions become unsustainable, authors' institutions will pay journal publishers for peer review out of a portion of their annual windfall subscription cancellation savings. Data-archiving cannot be mandated, because researchers must be allowed the exclusive right to mine their data they have collected if they wish; but as Green OA self-archiving grows, data-archiving too will grow, because of their natural complementarity and the power of global collaboration to accelerate and enhance research progress.
Rebecca Raworth presented a workshop on research data management. The presentation covered:
- Why research data management plans are important, such as satisfying funder requirements and increasing research efficiency.
- Current requirements for data management plans in Canada.
- Tools for research data management, including Portage for creating data management plans and Dataverse for data storage and access.
- Best practices for organizing, documenting, storing and sharing research data, including using metadata standards, file naming conventions, and choosing appropriate data repositories.
This document discusses challenges and proposed solutions for improving data sharing, integration, and reuse in research. It outlines the current research data lifecycle and issues like a lack of linking between data and publications. A proposal is made for researchers to publish data in repositories under embargo and automatically notify funders, then link the data to publications. The document also describes efforts by organizations like FORCE11, the National Data Service, and RDA to improve data search, linking, and publishing through collaboration. Key areas discussed include electronic lab notebooks, data repositories, search, linking data to publications, and citation.
ORCID in platform research lifecycle products -Elsevier (C. Shillum)ORCID, Inc
This document discusses how Elsevier products integrate with ORCID to help researchers build and promote their ORCID profiles throughout the research lifecycle. It provides details on how ORCID profiles are incorporated in Elsevier's publishing, search and discovery, and research intelligence tools. Key points include gathering ORCIDs during manuscript submission, depositing ORCIDs in Crossref metadata, linking Scopus author profiles to ORCIDs, and enabling Pure users to link their profiles and automatically update ORCID records.
The document discusses the information needs and skills of researchers at different stages of their careers. It outlines 7 stages from masters students to experts. For each stage, it describes the typical roles and responsibilities as well as information needs such as finding, managing, creating, and disseminating information. The document also discusses support and training needs to help researchers maximize the impact of their work throughout the research lifecycle.
Why does research data matter to librariesJisc RDM
- Research data matters to libraries because it is increasingly being produced and collected by researchers, and there are growing requirements to manage and preserve it.
- A survey found that while most researchers currently manage their own data, there is a trend toward using institutional repositories and libraries more for long-term preservation.
- Libraries are well-suited to help with research data management because of their experience organizing and describing information over long periods of time, but there are also challenges due to differences across disciplines in how data is defined and treated.
- As funders and journals require better data sharing practices, libraries have an opportunity to take a more active role in helping researchers and institutions capture, describe, and manage research data over
Fieke Schoots from the Centre of Digital Scholarship provides, in close collaboration with colleagues from other university libraries (UKB), an overview of the policies that publishers increasingly implement regarding the data underlying publications.
Held at the Seminar: ‘The Making of Research Data Management Policy, Wageningen 2016.
THOR Workshop - Data Publishing ElsevierMaaike Duine
Elsevier supports researchers in sharing their data through several programs and services:
1. A data-linking program connects articles to over 60 domain-specific data repositories through in-article data accession numbers and banners.
2. Mendeley Data is Elsevier's research data repository, allowing researchers to store, share and publish research data with a DOI and link to related articles.
3. In-article data visualization tools display plot data from supplementary materials in journals, allowing readers to access, explore and download underlying data.
The document discusses the THOR project, which aims to place Persistent Identifiers (PIDs) at the fingertips of researchers and integrate them into existing research services and outputs. The goals are to uniquely attribute work to researchers and make PID use the default across the research lifecycle. The project focuses on biological sciences, earth sciences, physical sciences, social sciences, and humanities. It provides examples of how PIDs can improve credit for researchers, discoverability and reuse of data and publications, demonstrate value for data centers, improve evidence for publishers, and measure impact for funders.
Stop press: should embargo conditions apply to metadata?Jisc RDM
Sarah Middle of Cambridge University discusses whether embargo conditions should apply to metadata. Session held at the Research Data Network event in May 2016, Cardiff University.
Why would a publisher care about open data?Anita de Waard
A publisher would care about open data for several reasons:
1) Open data increases the value of all parts of the web by allowing programs, not just people, to utilize the data through interconnecting and joining it.
2) Publishers are evolving from linear supply chains focused on content delivery to users, to becoming marketplaces that optimize the number of interactions between users through networked open science.
3) The future of publishing involves networked open science where data is openly accessible, annotated with metadata, and linked together in research objects, increasing findability, accessibility, interoperability, and reusability of research outputs.
This document summarizes a workshop on authority files. It discusses how authority files can transform from library silos to a web of linked data by uniquely identifying entities like people, publications, organizations, and connecting them using identifiers. Four use cases are presented: developing a repository authority file, enhancing a journal authority file to track open access evolution, integrating existing authority files to make cultural data web compliant, and using authority files to enable new analyses and business intelligence from research information systems. The benefits of authority files for discovery, reliability, accountability, and efficiency are outlined. An example of crosswalking different authority files is also provided. The document concludes with an opinion poll on authority file topics.
In order to be reused, research data must be discoverable.
The EPSRC Research Data Expectations* requires research organisations to maintain a data catalogue to record metadata about research data generated by EPSRC-funded research projects.
Universities are increasingly making research data assets available through repositories or other data portals.
The requirement for a UK research data discovery service has grown as universities become more involved in RDM and capacity develops.
Publishing the Full Research Data LifecycleAnita de Waard
This document discusses strategies for supporting open science through the full research cycle and data/software preservation. It outlines current practices for managing, storing, publishing, and reusing research data and software. It proposes improvements like requiring researchers to post datasets to repositories under embargo linked to any subsequent publications to reduce workload, better track outputs, and improve data linking and availability. The goal is to make data sharing and open science practices more seamless and effective.
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.
An update on the latest BioSharing work; including work with ELIXIR and NIH BD2K, also our survey to assess user needs (530 replies) and the work on the recommender tool
Collaboratively creating a network of ideas, data and softwareAnita de Waard
Anita de Waard discusses collectively creating networks to connect ideas, data, and software. This includes work by Elsevier to build a knowledge graph connecting 14 million articles and ongoing efforts to link papers to datasets through various partnerships. De Waard also discusses evaluating data discoverability and the need to consider software as a knowledge object and pay for open infrastructure through new funding models. The goal is to enable sharing of knowledge globally through interconnected systems and partnerships.
Open Access (OA) means free online access to the 2.5 million articles published every year in the world's 25,000 peer-reviewed scholarly and scientific research journals. OA can be provided in two ways: To provide "Green OA," authors self-archive the final refereed drafts of their articles in their institutional OA repositories immediately upon acceptance for publication (by conventional, non-OA journals). To provide "Gold OA," authors publish their articles in OA journals that make all their articles free online immediately upon publication. (Sometimes a fee is charged to the author's institution for Gold OA.) Because of the benefits of OA (in terms of maximized visibility, accessibility, uptake, usage and impact) to research, researchers, their institutions and the taxpayers that fund them, institutions and funders worldwide are increasingly mandating (i.e. requiring) Green OA self-archiving. Gold OA publishing cannot be mandated by authors' institutions and funders, but universal Green OA self-archiving mandates may eventually lead to a global transition to Gold OA publishing; it depends on whether and how long subscriptions remain sustainable as the means of covering the costs of print and online publication; if subscriptions become unsustainable, authors' institutions will pay journal publishers for peer review out of a portion of their annual windfall subscription cancellation savings. Data-archiving cannot be mandated, because researchers must be allowed the exclusive right to mine their data they have collected if they wish; but as Green OA self-archiving grows, data-archiving too will grow, because of their natural complementarity and the power of global collaboration to accelerate and enhance research progress.
Rebecca Raworth presented a workshop on research data management. The presentation covered:
- Why research data management plans are important, such as satisfying funder requirements and increasing research efficiency.
- Current requirements for data management plans in Canada.
- Tools for research data management, including Portage for creating data management plans and Dataverse for data storage and access.
- Best practices for organizing, documenting, storing and sharing research data, including using metadata standards, file naming conventions, and choosing appropriate data repositories.
This document discusses challenges and proposed solutions for improving data sharing, integration, and reuse in research. It outlines the current research data lifecycle and issues like a lack of linking between data and publications. A proposal is made for researchers to publish data in repositories under embargo and automatically notify funders, then link the data to publications. The document also describes efforts by organizations like FORCE11, the National Data Service, and RDA to improve data search, linking, and publishing through collaboration. Key areas discussed include electronic lab notebooks, data repositories, search, linking data to publications, and citation.
ORCID in platform research lifecycle products -Elsevier (C. Shillum)ORCID, Inc
This document discusses how Elsevier products integrate with ORCID to help researchers build and promote their ORCID profiles throughout the research lifecycle. It provides details on how ORCID profiles are incorporated in Elsevier's publishing, search and discovery, and research intelligence tools. Key points include gathering ORCIDs during manuscript submission, depositing ORCIDs in Crossref metadata, linking Scopus author profiles to ORCIDs, and enabling Pure users to link their profiles and automatically update ORCID records.
The document discusses the information needs and skills of researchers at different stages of their careers. It outlines 7 stages from masters students to experts. For each stage, it describes the typical roles and responsibilities as well as information needs such as finding, managing, creating, and disseminating information. The document also discusses support and training needs to help researchers maximize the impact of their work throughout the research lifecycle.
Managing data throughout the research lifecycleMarieke Guy
This document summarizes a presentation about managing data throughout the research lifecycle. It discusses the stages of the research lifecycle, including planning, data creation, documentation, storage, sharing, and preservation. It provides examples of research lifecycle models and addresses key questions to consider at each stage, such as what formats to use, how to document data, where to store it, and how to share and preserve it. The presentation emphasizes making informed decisions about data management and talking to colleagues for support and advice.
From research life cycle to networks: The role of the libraryCameron Neylon
Google for "research life cycle" and you'll find a million images. Everyone has their own cycle, not all of them compatible. In this talk I argue that we need to move from a cycle conception of research information flows towards one based on networks. The library has the skills and values to act as a professional guide to this terriroty.
The document provides information about MANTRA, a free online course for research data management created by the University of Edinburgh. MANTRA teaches best practices for managing research data through open educational modules aligned with the research data lifecycle. It is available for reuse and repurposing under an open license. The course covers topics like data planning, organization, documentation, storage, security, and sharing.
Overview of orcid in research lifecycle (M. Buys)ORCID, Inc
ORCID provides researchers with a unique digital identifier that can be used throughout the research lifecycle. Individual researchers register for free ORCID IDs and link them to their work at institutions, funders, and publishers. Organizations join ORCID as members and integrate ORCID IDs into their systems to better connect information on researchers, institutions, funding, and publications. ORCID works with these organizations to ensure persistent identifiers are connected across research workflows and platforms.
Digging into assessment data: Tips, tricks, and tools of the trade.Lynn Connaway
Hofschire, L., & Connaway, L. S. (2018). Digging into assessment data: Tips, tricks, and tools of the trade. Part 2 in 3-part webinar series, Evaluating and sharing your library's impact, presented by OCLC Research WebJunction, August 14, 2018.
This document discusses trends and importance of research in the current scenario. It discusses connecting research to oneself, one's institute, society and industry. It also discusses the concept of a "connected researcher" and trends related to collaboration, social media, and alternative metrics for measuring research impact. Connected researchers leverage tools like social media to build networks, get feedback, and disseminate their work more widely.
ORCID identifiers in repositories
The ORCID identifier has been incorporated into numerous repository platforms. This session will offer a discussion of integration points, policy issues, data flow between systems, researcher participation, discovered opportunities, and demonstrations by universities, research organizations, and vendors.
Moderator: Salvatore Mele, Head of Open Access at CERN
Presenters:
Robin Haw, Scientific Associate and Reactome Outreach Coordinator, Department of Informatics and Bio-computing, OICR
Rick Johnson, Co-Program Director, Digital Library Initiatives and Scholarship E-Research and Digital Initiatives, Notre Dame University
Ann Campion Riley, Associate Director for Access, Collections and Technical Services, University of Missouri Library
Sarah Shreeves, Coordinator, Illinois Digital Environment for Access to Learning and Scholarship (IDEALS), University Library. University of Illinois at Urbana-Champaign
Michael Witt, Head, Distributed Data Curation Center, Purdue University
Lesson 8 in a set of 10 created by DataONE on Best Practices for Data Management. The full module can be downloaded from the DataONE.org website at: http://www.dataone.org/educaiton-modules. Released under a CC0 license, attribution and citation requested.
Presentation by Todd Carpenter during the Project Muse Publishers meeting in Baltimore, MD on April 24, 2014. During this talk, Todd discussed standards related to scholarly publishing and the output of several NISO initiatives.
Has anyone seen my data? Incentivising #opendata sharing with altmetricsNick Sheppard
As an important component of the scholarly record, research data, software and code are increasingly managed as research outputs in their own right, though are not typically subject to peer review.
In line with the broader ‘open research’ movement there is a growing impetus for datasets, software and code to be curated in repositories, openly available wherever possible subject to relevant legal and ethical constraints.
Data repositories such as Figshare, Dryad and Zenodo routinely allocate DOIs for deposited data while many universities in the UK also allocate and mint DOIs in their nascent institutionally based data repositories through Datacite which means they will be automatically tracked by altmetric.com in the same way as journal articles.
While the repository infrastructure continues to develop and there are pockets of best practice, data sharing and reuse is not yet fully established across UK HE. Reward mechanisms are immature and data citation, for example, is limited and not easy to track. Clarivate Analytics’ Data Citation Index coverage of UK based repositories is still relatively low and, as a subscription based product, is not widely accessible. COUNTER compliant downloads can be derived from IRUSdata-UK (beta) which currently tracks 27 UK based institutional data repositories.
Altmetrics therefore offers a low barrier method to track engagement with datasets and, in lieu of a more formal process, might be regarded as a type of informal peer review. We have undertaken a preliminary analysis of repositories that participate in IRUSdata-UK (beta) using it as a source of DOIs to run against the altmetric.com API to discover to what extent research data, software and code is being shared.
This talk will present these preliminary results and explore how and why datasets are being shared across the various platforms tracked by altmetric.com and potential barriers. It will consider how data repository managers can encourage and facilitate data sharing through social media networks, blogs and “data journalism” and will draw on the Research Data Management (RDM) Engagement Award at the University of Leeds which is exploring linking RDM with the Open Science movement via the Wikimedia suite of tools. What does the altmetric data currently tell us about how research data is being linked to this global platform
Sitations are the way that researchers communicate how
their work builds on and relates to the work of others and
they can be used to trace how a discovery spreads and is
used by researchers in different disciplines and countries.
Creating a truly comprehensive map of scholarship,
however, relies on having a curated machine-readable
database of citation information, where the provenance of
every citation is clear and reusable. The Initiative for Open
Citations (I4OC), a campaign launched on 6 April 2017,
sought to make publisher members of Crossref aware that
they could open up the citation metadata they already give
to Crossref simply by asking them. With the support of
major publishers and the endorsement of funders and other
organisations, more than 50% of citation data in Crossref
is now freely available, up from less than 1% before the
campaign. This provides the foundation of a well-structured,
open database of literally millions of datapoints that anyone
can query, mine, consume and explore. The presenter will
discuss the aims of the campaign, the new innovative
services that are already using the data, what more still
needs to be done and how you can support the initiative.
Catriona J MacCallum, Hindawi
ODIN: Connecting research and researchersSergio Ruiz
The document discusses the ODIN project which aims to explore opportunities for linking ORCID and DataCite identifiers to support open science. It notes that ORCID and DataCite are emerging as participative initiatives that could play a significant role in underpinning a sustainable persistent identifier e-infrastructure. The project conducted a gap analysis and developed a roadmap. It carried out proofs-of-concept in the humanities/social sciences and high energy physics domains. The second year of ODIN focused on promoting adoption of ORCID and DataCite, encouraging interoperability with other systems, establishing workflows for specific domains, and exploring common approaches across domains.
NISO Two Day Virtual Conference:
Using the Web as an E-Content Distribution Platform:
Challenges and Opportunities
Oct 21-22, 2014
Maryann Martone, Ph.D., Professor of Neuroscience, University of California, San Diego
Philip Bourne presented his viewpoint on the future of open science at an NIAID workshop. He argued that as science becomes more democratized, it will lead to more scrutiny of research, a need for new types of rewards beyond publications and citations, and a removal of artificial boundaries between fields. As an example, he discussed how open science allowed two researchers working in different areas to connect via common data references in their notebooks. Bourne believes this digitization and interconnection of research will accelerate, transforming institutions into digital enterprises where digital assets are identifiable and interoperable. However, fully realizing this vision will require coordinating tools across the research lifecycle through common frameworks and developing new support structures.
Big Data (SOCIOMETRIC METHODS FOR RELEVANCY ANALYSIS OF LONG TAIL SCIENCE D...AKSHAY BHAGAT
This document discusses the DataBridge project, which aims to enable easier discoverability and use of long tail science data. DataBridge will create a multidimensional network and social network for scientific data by mapping datasets connected by relationships between their metadata, usage, and the methods used to analyze them. This will allow researchers to more easily find relevant datasets by automatically forming communities of similar data. The document outlines DataBridge's vision and progress to date, including the algorithms it is investigating for measuring similarity between datasets in order to facilitate searching for collaborators and discoveries.
This document provides guidance on developing a knowledge mobilization plan. It defines knowledge mobilization and different related terms used across funding agencies. An effective plan must identify the research outcomes, target audiences and how they will be reached. It should also explain how impact will be evaluated over time. The plan requires determining appropriate knowledge products and resources like budgets, timelines, and ensuring open access of research outputs. Support services are available to help with workshops on clear writing, digital identity, and engaging events on social media. Developing a strong knowledge mobilization plan is important for sharing research broadly and creating real-world impact.
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Learning to Curate Research Data
Jennifer Doty, Research Data Librarian, Emory Center for Digital Scholarship, Emory University, Robert W. Woodruff Library
Moving from an IR to a CRIS, the why & howDavid T Palmer
IRs collect, manage and display publications, and their metadata. However, an institution’s research, expertise and capacity is described by more than publications. The HKU Scholars Hub, hosted in DSpace, began as the IR of The University of Hong Kong (HKU) in 2005. Asking for voluntary deposit of publications from HKU academics, it received little notice, and more importantly, little support from University senior management. In 2009 a new HKU initiative, Knowledge Exchange, adopted the Hub as a key vehicle to share knowledge and skill with the community outside HKU. With funding support from the Office of KE, we extended the data model of DSpace to include relational tables on non-publication objects, including people, grants, and patents, holding attributes of these objects, such as co-investigators, co-inventors, co-prize winners, research interests, languages spoken, supervision of postgraduate theses, etc. The DSpace user interface now delivers an integrated search and display on these objects and attributes, as well as on ones newly derived, such as authority work on name disambiguation and synonymy in Roman and Hanzi (漢字), visualizations on networks of co-authors, co-investigators, etc, metrics extracted from external sources such as Scopus, WoS, PubMed, Google Scholar Citations, internal alt-metrics of view and download counts, and more. Beyond the functions of an IR, the Hub now performs as a system for reputation management, impact management, and research networking and profiling -- all of which are concepts included in the broad term, “Current Research Information System” (CRIS). These new objects and attributes curated from several trusted sources, and integrated into the present mashup, contextualize and highlight HKU research, and attract more hits, than an IR with only publications.
The HKU Office of Knowledge Exchange has now funded the modularization of these new HKU features of DSpace. Together with our partner, CINECA of Italy, we are making this work available in open source for the DSpace community.
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ODIN Final Event - Supporting the research lifecycle: Discovery and Analysis
1. ODIN – ORCID and DATACITE Interoperability Network
Title
This project has received funding from the European
Union's Seventh Framework Programme for research,
technological development and demonstration under
grant agreement no. 312788
2. Supporting the research lifecycle:
Discovery Analysis
Rachael Kotarski (British Library)
ORCID and DataCite: Towards Holistic Open Research, September 24 2014
3. Scenario 1: Starting from the data
• I am looking for data
to combine with my
own for meta-analysis
• I search a subject-data
centre for data of
interest
• I find interesting data
and see that the
author is linked
ORCID and DataCite: Towards Holistic Open Research, September 24 2014
4. • Following the link I end up at the data creator’s ORCID record
• Here I can see plenty more of their data and publications, across
ORCID and DataCite: Towards Holistic Open Research, September 24 2014
many data centres
Not possible before ODIN
5. How has ODIN helped this?
• Creation of a DataCite claim tool for ORCID
• Allows ORCID users to claim datasets with DOIs from DataCite
ORCID and DataCite: Towards Holistic Open Research, September 24 2014
6. How has ODIN helped this?
• Linking from a data centre landing page is promoted with out work on
integrating identifiers into archive workflows
ORCID and DataCite: Towards Holistic Open Research, September 24 2014
7. Scenario 2: Starting from the literature
• This research paper is an important
new advancement in my research
area
• But I now have more questions
• I look at the citations, and see that
they cite the datasets they have used.
There are 2 of them.
• DataCite DOIs have allowed me to
access the data for the citation
ORCID and DataCite: Towards Holistic Open Research, September 24 2014
8. • The data citation has taken me to
a page that gives more details
about the dataset
• Details about this data link into
more papers and further datasets
• These datasets are relevant to my
field, but wont quite help me
answer the new questions I have.
• How can I find more data?
ORCID and DataCite: Towards Holistic Open Research, September 24 2014
9. • I see the creators names are
linked
• I click them and it takes me to
their ORCID record
• Their current work has moved
away from the question I’m
interested in
• But I find older datasets by these
creators that seem very relevant
ORCID and DataCite: Towards Holistic Open Research, September 24 2014
Not possible before ODIN
10. • The DOI takes me to a new
data centre
• I see a graph of the authors
on this dataset and how they
link to various publications
and datasets
• On clicking around, I see that
the creators of these older
datasets have previously
worked with similar
collaborators to me
ORCID and DataCite: Towards Holistic Open Research, September 24 2014
Not possible before ODIN
11. • I follow the links back to their
ORCID profiles and see their
work touches on some of the
questions I’m now starting to
ask
• I have an idea that would help
to pursue those questions, so I
contact them to find out more
about their current work
ORCID and DataCite: Towards Holistic Open Research, September 24 2014
Not possible before ODIN
Editor's Notes
ODIN has helped to support research throughout the whole lifecycle. Let’s start by looking at discovery of new knowledge and information, through to analysis of that new information.
Let’s say I’m a researcher looking for data that could be combined with my own to produce a meta analysis.
I know of a data centre that holds data on my subject of interest, so I search it and turn up this dataset.
This data is what I need, but I still need more to produce a convincing analysis.
I see that the author of this dataset is linked. When I click that link…
I’m taken to the author’s ORCID record.
This lists many more works from other publishers and data centres.
I now have a wealth of data I can use in my analysis.
This is now possible because of three developments:
The first development was the data centre implementing DataCite DOIs for its data and so their metadata is available in DataCite
The second was the direct involvement of ODIN in developing a DataCite claim tool for researchers to add dataset records to their ORCID profile
The third is work by the data centre to enable inclusion of name identifiers in their own metadata.
This scenario only shows us what’s possible when you find data.
Let’s imagine another scenario, which is more familiar to researchers at present.
This paper describes an important development in my area of research. But reading their analysis, I actually now have more unanswered questions.
Looking at their citations, I can see two referring to data. They are cited with DOIs and so I can click through to find out more about this data.
Following the linked DOI, I get to page with details about the datasets.
This dataset in turn references other data. They are relevant to my field, but not quite appropriate for answering the new questions I have.
I see that the creators of this dataset are linked.
On clicking the linked creator names, I am taken to their ORCID record.
I see that their most recent work isn’t really interesting, but going back through their record, I see publications that are more relevant to me.
Clicking on one of these older datasets, takes me to a page describing a dataset that also has this graph.
The graph shows connections between the authors of this dataset and other datasets, publications and software.
I can see the connections between these collaborators and my own research network.
The graphing tool is one of the developments from ODIN that has made a journey like this possible.
Following the links back to their ORCID profiles, I now feel confident that I can contact these authors and propose collaborations to help build on the paper that started this journey.