This document discusses integrating research data into scientific articles through the Article of the Future platform. It aims to improve online presentation, allow sharing of additional content like datasets and code, and provide valuable context by linking articles to external data repositories. The platform presents articles in an interactive three-pane format and supports additional content like 3D models, phylogenetic trees, and executable papers. Elsevier collaborates with over 10 data repositories to enable article-level and entity-level linking of related data. A new Research Data Services division explores archiving, sharing, and assessing research data to help validate and reproduce findings.
Sources of Change in Modern Knowledge Organization SystemsPaul Groth
Talk covering how knowledge graphs are making us rethink how change occurs in Knowledge Organization Systems. Based on https://arxiv.org/abs/1611.00217
2013 DataCite Summer Meeting - Elsevier's program to support research data (H...datacite
2013 DataCite Summer Meeting - Making Research better
DataCite. Co-sponsored by CODATA.
Thursday, 19 September 2013 at 13:00 - Friday, 20 September 2013 at 12:30
Washington, DC. National Academy of Sciences
http://datacite.eventbrite.co.uk/
Sources of Change in Modern Knowledge Organization SystemsPaul Groth
Talk covering how knowledge graphs are making us rethink how change occurs in Knowledge Organization Systems. Based on https://arxiv.org/abs/1611.00217
2013 DataCite Summer Meeting - Elsevier's program to support research data (H...datacite
2013 DataCite Summer Meeting - Making Research better
DataCite. Co-sponsored by CODATA.
Thursday, 19 September 2013 at 13:00 - Friday, 20 September 2013 at 12:30
Washington, DC. National Academy of Sciences
http://datacite.eventbrite.co.uk/
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
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
Data Communities - reusable data in and outside your organization.Paul Groth
Description
Data is a critical both to facilitate an organization and as a product. How can you make that data more usable for both internal and external stakeholders? There are a myriad of recommendations, advice, and strictures about what data providers should do to facilitate data (re)use. It can be overwhelming. Based on recent empirical work (analyzing data reuse proxies at scale, understanding data sensemaking and looking at how researchers search for data), I talk about what practices are a good place to start for helping others to reuse your data. I put this in the context of the notion data communities that organizations can use to help foster the use of data both within your organization and externally.
Key lecture for the EURO-BASIN Training Workshop on Introduction to Statistical Modelling for Habitat Model Development, 26-28 Oct, AZTI-Tecnalia, Pasaia, Spain (www.euro-basin.eu)
RDAP13 Elizabeth Moss: The impact of data reuseASIS&T
Kathleen Fear, ICPSR, University of Michigan
“The impact of data reuse: a pilot study of 5 measures”
Panel: Data citation and altmetrics
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
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.
Presentation to IASSIST 2013, in the session Expanding Scholarship: Research Journals and Data Linkages. Describes PREPARDE workshop on repository accreditation for data publication and invites comments on guidelines.
Data Citation Implementation Guidelines By Tim Clarkdatascienceiqss
This talk presents a set of detailed technical recommendations for operationalizing the Joint Declaration of Data Citation Principles (JDDCP) - the most widely agreed set of principle-based recommendations for direct scholarly data citation.
We will provide initial recommendations on identifier schemes, identifier resolution behavior, required metadata elements, and best practices for realizing programmatic machine actionability of cited data.
We hope that these recommendations along with the new NISO JATS document schema revision, developed in parallel, will help accelerate the wide adoption of data citation in scholarly literature. We believe their adoption will enable open data transparency for validation, reuse and extension of scientific results; and will significantly counteract the problem of false positives in the literature.
February 18 2015 NISO Virtual Conference
Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Network Effects: RMap Project
Sheila M. Morrissey, Senior Researcher, ITHAKA
Combining Explicit and Latent Web Semantics for Maintaining Knowledge GraphsPaul Groth
A look at how the thinking about Web Data and the sources of semantics can help drive decisions on combining latent and explicit knowledge. Examples from Elsevier and lots of pointers to related work.
The literature contains a myriad of recommendations, advice, and strictures about what data providers should do to facilitate data reuse. It can be overwhelming. Based on recent empirical work (analyzing data reuse proxies at scale, understanding data sensemaking and looking at how researchers search for data), I talk about what practices are a good place to start for helping others to reuse your data.
PIDs, Data and Software: How Libraries Can Support Researchers in an Evolving...Sarah Anna Stewart
Presentation given at the M25 Consortium of Academic Libraries, CPD25 Event on 'The Role of the Library in Supporting Research'. Provides an introduction to data, software and PIDs and a brief look at how libraries can enable researchers to gain impact and credit for their research data and software.
Keynote presentation delivered at ELAG 2013 in Gent, Belgium, on May 29 2013. Discusses Research Objects and the relationship to work my team has been involved in during the past couple of years: OAI-ORE, Open Annotation, Memento.
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
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
Data Communities - reusable data in and outside your organization.Paul Groth
Description
Data is a critical both to facilitate an organization and as a product. How can you make that data more usable for both internal and external stakeholders? There are a myriad of recommendations, advice, and strictures about what data providers should do to facilitate data (re)use. It can be overwhelming. Based on recent empirical work (analyzing data reuse proxies at scale, understanding data sensemaking and looking at how researchers search for data), I talk about what practices are a good place to start for helping others to reuse your data. I put this in the context of the notion data communities that organizations can use to help foster the use of data both within your organization and externally.
Key lecture for the EURO-BASIN Training Workshop on Introduction to Statistical Modelling for Habitat Model Development, 26-28 Oct, AZTI-Tecnalia, Pasaia, Spain (www.euro-basin.eu)
RDAP13 Elizabeth Moss: The impact of data reuseASIS&T
Kathleen Fear, ICPSR, University of Michigan
“The impact of data reuse: a pilot study of 5 measures”
Panel: Data citation and altmetrics
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
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.
Presentation to IASSIST 2013, in the session Expanding Scholarship: Research Journals and Data Linkages. Describes PREPARDE workshop on repository accreditation for data publication and invites comments on guidelines.
Data Citation Implementation Guidelines By Tim Clarkdatascienceiqss
This talk presents a set of detailed technical recommendations for operationalizing the Joint Declaration of Data Citation Principles (JDDCP) - the most widely agreed set of principle-based recommendations for direct scholarly data citation.
We will provide initial recommendations on identifier schemes, identifier resolution behavior, required metadata elements, and best practices for realizing programmatic machine actionability of cited data.
We hope that these recommendations along with the new NISO JATS document schema revision, developed in parallel, will help accelerate the wide adoption of data citation in scholarly literature. We believe their adoption will enable open data transparency for validation, reuse and extension of scientific results; and will significantly counteract the problem of false positives in the literature.
February 18 2015 NISO Virtual Conference
Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Network Effects: RMap Project
Sheila M. Morrissey, Senior Researcher, ITHAKA
Combining Explicit and Latent Web Semantics for Maintaining Knowledge GraphsPaul Groth
A look at how the thinking about Web Data and the sources of semantics can help drive decisions on combining latent and explicit knowledge. Examples from Elsevier and lots of pointers to related work.
The literature contains a myriad of recommendations, advice, and strictures about what data providers should do to facilitate data reuse. It can be overwhelming. Based on recent empirical work (analyzing data reuse proxies at scale, understanding data sensemaking and looking at how researchers search for data), I talk about what practices are a good place to start for helping others to reuse your data.
PIDs, Data and Software: How Libraries Can Support Researchers in an Evolving...Sarah Anna Stewart
Presentation given at the M25 Consortium of Academic Libraries, CPD25 Event on 'The Role of the Library in Supporting Research'. Provides an introduction to data, software and PIDs and a brief look at how libraries can enable researchers to gain impact and credit for their research data and software.
Keynote presentation delivered at ELAG 2013 in Gent, Belgium, on May 29 2013. Discusses Research Objects and the relationship to work my team has been involved in during the past couple of years: OAI-ORE, Open Annotation, Memento.
Staffing Research Data Services at University of EdinburghRobin Rice
Invited remote talk for Georg-August University of Göttingen workshop: RDM costs and efforts on 28 May in Göttingen. Organised by the project Göttingen Research Data Exploratory (GRAcE).
This review demonstrates that using these websites can provide researchers with valuable sources of data and research, facilitating access to current literature and specialized scientific content. For optimal results, diversifying sources of research and using multiple search engines based on need and specialization is recommended
In the last decade, several Scientific Knowledge Graphs (SKG) were released, representing scientific knowledge in a structured, interlinked, and semantically rich manner. But, what kind of information they describe? How they have been built? What can we do with them? In this lecture, I will first provide an overview of well-known SKGs, like Microsoft Academic Graph, Dimensions, and others. Then, I will present the Academia/Industry DynAmics (AIDA) Knowledge Graph, which describes 21M publications and 8M patents according to i) the research topics drawn from the Computer Science Ontology, ii) the type of the author's affiliations (e.g, academia, industry), and iii) 66 industrial sectors (e.g., automotive, financial, energy, electronics) from the Industrial Sectors Ontology (INDUSO). Finally, I will showcase a number of tools and approaches using such SKGs, supporting researchers, companies, and policymakers in making sense of research dynamics.
Research Data Management in GLAM: Managing Data for Cultural HeritageSarah Anna Stewart
Presentation given at the 'Open Science Infrastructures for Big Cultural Data' - Advanced International Masterclass in Plovdiv, Bulgaria. Dec. 13-15, 2018
Enabling better science - Results and vision of the OpenAIRE infrastructure a...Paolo Manghi
Enabling better science: presentation on the results and vision of the OpenAIRE infrastructure and RDA Publishing Data Services Working Group in this direction.
With the advent of Web 2.0 into research, researchers conduct research is changing, as are the resources and infrastructure which increased power their work. In the past e-Science and cyber-infrastructure was dominated by epic science using brave infrastructures. But these days we can find the researchers across all disciplines exploiting new technologies to make new research. More user focused activity is illustrated on the web as a distributed application platform, offering easy access to computational resources jointly with social networking to impart the pieces and practice of digital research. In this paper, it illustrates the tools and techniques of web 2.0 application for conducting research.
Closing address by John Wood on the role of the Research Data Alliance given at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
Presentation by Eefke Smit asking whether publishers should scrap supplementary materials given as a 'provocation' in the final panel session at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
Michener-institutional and subject-specific data repositories-nfdp13DataDryad
Presentation by Bill Michener asking whether Institutional and Subject-Specific Data Repositories can Co-Exist given as a 'provocation' in the final panel session at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
Presentation by Brian Hole on the role of data journals in incentivising data publication and open scholarship given as a 'provocation' in the final panel session at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
Presentation by David Shotton on Force11 and the Amsterdam Manifesto on data citation and then introducing the final panel session at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
Coles partnerships quality and trust-nfdp13DataDryad
Presentation by Simon Coles on issues of partnerships, quality and trust in data publishing given at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
Irving-TeraData: data and science driven big industry-nfdp13DataDryad
Presentation by Duncan Irving on TeraData's approach to data management and data publishing in science driven big industry given at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
Image used by Ross Mounce to illustrate his talk on incentives and researchers' reluctance to publish data given at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
Pfeiffenberger-Data Policies and Sustainability-NFDP13DataDryad
Presentation by Hans Pfeiffenberger on challenges presented by data availability policies and issues of sustainability given at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
Presentation by Liz Lyon of DCC on data publishing challenges for HEIs and for research libraries given at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
Presentation by Rodrigo Costas on research into data metrics and data sharing given at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
Presentation by Tom Mowlam on Ubiquity Press's initiatives in semantic publishing given at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
Presentation by Ruth Wilson on Nature Publishing Group's Scientific Data journal given at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
Presentation by Bernd Pulverer on EMBO's 'Source Data' and the next generation of open access given at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
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Presentation by Rebecca Lawrence on F1000's initiatives for publishing with data given at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
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Keynote given by Unni Karunkara on Médecins Sans Frontières and open data given to the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
Zudilova-Seinstra-Elsevier-data and the article of the future-nfdp13
1. Integrating research data in the Article of the Future
Dr. Elena Zudilova-Seinstra, Content Innovation Manager, Journal & Content Technology, STM Journals
2. Outline
• Data and Scientific Article
• The Article of the Future platform for data integration
• Ongoing data-linking initiatives at Elsevier STM Journals
• Elsevier “Research Data Services”
• Summary
3. Research communication is changing…
• Different kinds of modern research output:
• articles, data, multimedia, code, ...
• More research output:
• Need for efficient selection of relevant information and data
• Be able to explore, build deep insight efficiently
From “print science” to “digital science”
4. … and the scientific article needs to adapt
“The Article of the Future” is a project to improve the scientific
article so that it allows researchers to optimally communicate
scientific research in all (digital) dimensions
Article format (PDF) is still very much print-based:
• “Ink on paper”
• No support for data, multimedia, computer code
• Limits validation and reproducibility
• Geared towards one style of reading: top-left to bottom-right
• Stand-alone - disconnected from relevant, related scientific information
5. Article of the Future: Approach & timeline
◦ Deeply involve researchers through interviews, workshops, forums,
surveys, etc. Over 800 people provided feedback.
◦ Focus on domain-specific enhancements – one size does not fit all
◦ Value- adding content and tools that are integrated with the article –
no “bells and whistles”
◦ Main focus is on HTML
◦ Novel article display format
◦ Continuous enhancements:
The Article of the Future is a
framework rather than an end-point
solution.
Timeline & status
◦ 2009: started with Cell Press
◦ 2011: 13 prototype articles on
articleofthefuture.com
◦ 2012: roll-out on ScienceDirect
◦ Ongoing: further enhancements
6. Article of the Future | Presentation
The three-pane format
Center pane: “Traditional” full-
text view, designed for optimal
online reading experience
Right pane: Additional content
& tools. Shown here: reference
browser
Left pane:
efficient navigation
& browsing
7. Article of the Future: Presentation, Content, Context
Three components of the Article of the Future concept:
◦ Presentation: Offering an optimal online browsing and reading experience
◦ Content: Support authors to share a wider range of research output –
discipline-specific interactive content, executable computer code,
multimedia files, and data sets.
◦ Context: Connecting the online article to trustworthy scientific resources
to present valuable additional information
in the context of the article
8. • Author-provided models
(PDB, PSE, MOL/MOL2 format)
• Fully 3D – enlarge in canvas
• Real-time user interaction
• Supports all major browsers and
mobile devices (without additional plug-ins)
• Huge files: 100s of MBs
• Display modes: “ribbon” and “balls & sticks”
• 9 participating journals
• Molecular biology, food research,
biochemistry
http://dx.doi.org/10.1016/j.jmb.2012.11.040
http://dx.doi.org/10.1016/j.str.2012.10.007
Article of the Future: Content
Interactive Viewer for 3D Molecular Models
http://www.elsevier.com/3DMolecularModels
9. Article of the Future: Content
Interactive phylogenetic tree viewer
http://www.elsevier.com/phylogenetictrees
• Explore phylogenetic trees:
zoom, search,
collapse/expand, change
layout, etc.
• Integrated into the article
• Tree data provided by the
authors
• Newick and NeXML file
formats are supported
• 12 participating journals
• Phylogenetics, genomics,
theoretical biology, etc.
• Validation tool
http://dx.doi.org/10.1016/j.ympev.2012.08.015
http://dx.doi.org/10.1016/j.ygcen.2012.07.023
10. Article of the Future: Content
Collage Executable Paper
• Collage authoring tool lets authors
capture their “numerical experiment”:
data, code, and their relationship
• Readers can re-compute results from
the paper
• Explore and study methodology by
changing parameters
• All code and data elements are
available for download
• Pilot with CS journals
http://www.elsevier.com/executablepaper
http://www.sciencedirect.com/science/article/pii/S0097849313000484
http://www.sciencedirect.com/science/article/pii/S0097849313000472
11. Connecting with Data Repositories
• Supplementary material is not always a good solution
• Many poor solutions in use: data on PCs, university websites,
personal homepages, ...
• Data repositories:
◦ Some scientists prefer independent data repositories
◦ Domain-specific coordination
◦ Centralized information “hubs”
• “Raw data should be freely accessible to researchers”
• Collaboration between Publishers and Data Repositories:
◦ Ensure long-term availability of useful content and context
◦ Coordinate submission process / deposit mechanism
12. DB linking partners of the Elsevier STM Journals
ModelDB
RunMyCode
http://www.elsevier.com/databaselinking
EMAGE
NIF
Dryad
13. Online Linking Schemes
ScienceDirect can support different linking arrangements:
◦ Article-level: associate an article with a data set
• Example: a data set that underlies the analysis in an article
• Could be author-deposited or curated
◦ Entity-level: link entities in articles to relevant data
• Examples: taxons, chemicals, proteins, ...
• Could be manual tagging: accurate, non-ambiguous, but
additional work for the author
• Could be text-mining: retrospective, automatic, but less accurate
(ambiguities)
• Could be embedded applications: enable researchers to
interactive explore data while reading the article
14. Article of the Future: Context
Data-linking via a DB banner
• Link to relevant datasets available in the
external (curated) data repository
• 10+ active banner linking schemes
• In close collaboration with data
repositories
• Links can be added retrospectively
15. Article of the Future: Context
Data-linking based on tagged entities
• For entities (concepts) mentioned
in an article – proteins, genes,
standards planets, cities, etc.
• Available for 20+ data repositories
• Unique identifiers provided by the
authors
http://www.elsevier.com/databaselinking
5
16. Article of the Future: Context
Application-based linking (e.g., with Protein Data Bank)
• Explore protein structures relevant to the article – zoom, rotate, change display settings, etc.
• 3D structure data integrated from Protein Data Bank
• Unique protein codes provided by the authors
• 60+ journals
• Biology,
biochemistry,
neuroscience, food
research, etc.
• In collaboration with
Protein Data Bank
http://dx.doi.org/10.1016/j.jmb.2010.05.030
17. Article of the Future: Context
Application-based linking with NCBI GenBank
• View and analyze sequence data of genes and genomes mentioned in articles
• Flip the strands, zoom in/out, zoom to a sequence, go to a specific position to define a
track of interest within the sequence, "drag" to another location in the sequence
• Unique NCBI accession codes provided by the author
• 50+ journals
• Genetics, toxicology,
neuroscience, etc.
• In collaboration with
NCBI
http://dx.doi.org/10.1016/j.gene.2011.03.004
18. Data articles: Genomics Data Journal
Genomics Data is an open access journal that publishes high
quality and standardized reports on all aspects of genome-scale
analysis
• Limited only to nucleic acids analysis
• Microarray and Next-Generation
Sequencing data
• All organisms
Journal info:
http://www.elsevier.com/locate/gdata
Submission:
http://ees.elsevier.com/gdata
https://basespace.illumina.com/apps/
144144/Genomics-Data
(from BaseSpace)
19. Research Data Services New Division within Elsevier
• Goals: explore role of Elsevier in helping:
◦ Archive and share research data
◦ Increase the value and use of data (with metadata)
◦ Credit and impact assessment of research data
◦ Sustainability of data repositories
• Principles:
◦ Open data – and open software
◦ Collaborative –
work with existing repositories
◦ Transparent and flexible business model
http://researchdata.elsevier.com/
20. 2013: Running pilots to explore data preservation
Data preservation pilot with Carnegie Mellon:
• Tablet app replacing paper lab notebook
• Record all aspects during experiment
Data preservation pilot with Columbia/NASA:
• Enriching and storing NASA’s data on lunar sample (moon rocks)
• Develop process to train data curators: what skills are needed?
Data integration pilot with Duke:
• Scale up image repository including disclosure/annotation services
• Build integrated solution to visualize and share medical imaging data
The 2013 International
Data Rescue Award in the Geosciences
Organised by IEDA and
Elsevier Research Data Services
21. Summary
• Integration of Data and Articles brings value to researchers
• The Article of the Future provides a new platform for improved online
presentation, rich content, and valuable context from data repositories
(and other resources)
• Applications provide tools to directly integrate data and articles
• Elsevier is working together with a great number of data repositories to
establish article/entity-based linking and building applications together
• “Research Data Services” is a new research group exploring how
Elsevier can help researchers share and annotate data
Thank you!
e.zudilova-seinstra@elsevier.com
Editor's Notes
So the key message is that it’s all about adaptation. The way that research is performed has changed considerably over the last 20 or 100 years, moving from a print-based endeavour to an electronic endeavour. That means that researchers who want to disseminate their work have different needs, since it is no longer just about text and images – but also raw data, computer code, multimedia files, etc.At the same time, from a reader’s perspective, there are more and more articles, and it can be a real challenge to keep up with the literature. So it is ever more crucial find relevant article and developer deep insights.
At the same time, the scientific article has remained the same over the past centuries. It has moved from print to PDF which has a lot of advantages in terms of delivery and discoverability but the format is still very much the same as centuries ago – geared for one style of reading, inadequate support for electronic material and disconnected from the rest of the world. A format that does not capture the full richness of modern-day research output and does not take full advantage of modern technologies to offer an optimal user experience.
GoalsIncrease archiving and sharing of research dataIncrease the value and use of shared data (with metadata)Foster and assist with the credit and impact assessment of research data for the researcher, the institution, and the funding bodiesIncrease the sustainability of data repositoriesPrinciplesOpen data – all data remain open and availableCollaborative – with institutions, the research community, funding bodiesTransparent business model – if we make money, some goes back to fund the repositories