SlideShare una empresa de Scribd logo
1 de 26
Descargar para leer sin conexión
CoBRA guideline : a tool to facilitate
sharing, reuse, and reproducibility of
bioresource-based research
Elena Bravo
elena.bravo@iss.it
RDA National Event in Italy | 14 -15 November 2016, Florence
FAIR data management: best practices and open issues
*researchers ask the wrong
questions
*study designs are
inadequate or
inappropriate
*studies are not reported
appropriately,
or are either not
published
*Publish or perish -
Predatory journals
* Misconduct, metrics
85% OF RESEARCH IS WASTE
WHY?
October 19th 2013
PERSPECTIVE
The Economics of Reproducibility in
Preclinical Research
Leonard P. Freedman1*, Iain M. Cockburn2, Timothy S. Simcoe2,3
SimcoePLoSBiol13(6):2015
How science
goes wrong:
Scientific
research has
changed the
world. Now it
needs to
change itself
Reduce
CoBRA is a Reporting Guideline
for the Standardized
Citation Of BioResources in scientific journal Articles
What is CoBRA
Author guidelines promote open research culture
help transparency, openness, and reproducibility of the results
SCIENTIFIC STANDARDS POLICY (B. A. Nosek et alScience 26 Jun 2015)
 The Reporting Guidelines help to improve completeness and
clearness of research articles.
 The Reporting Guidelines are essential resources for writing and
publishing health research.
Fam. history
Lab. param.
Treatm. outcome
Lifestyle
PBMC
Serum
FFPE
tissues
Frozen
tissues
Cells
Antibodies
Affinity binders
Recomb. proteins
Gene clone collections*
siRNA libraries*
Cell lines*
Model organisms*
Sample storage
Healthy
Population
Patients
Analysis tools Application
Basic research
Life sciences
Targets for
Drug discovery
Biomarkers for
Drug development
New diagnostics
Personalized medicine
Public health
Infrastructure
Data storage
Biocomputing
DNA
Key Components of human
biobanking
The biological material is essential
raw material for research and for
development of biotechnological
applications
It is crucial to share this
patrimony
Biological samples
with associated data
Health Databases
organized collection of data and
information by inputting, storing,
retrieving and managing and updating,
registry
Bioresources
Bioresources: It includes biological samples and associated data
(classification / characterization, epidemiological and /or clinical
data as well as omics, imaging etc)..
The “concrete” part of sample decrease in quantity
The “data” associated to sample, that is the "knowledge" of the
sample, increase over the time.
the samples are transformed in data and data…do not move!!
Bioresources data are :
 static (i.e.: provenance, primary material description)
 dynamic (i.e.: sequence of steps is relevant
 some steps occur repeatedly (transport – processing – storage)
Limitations of existing concepts
● inconsistent data items
● no common vocabulary
● highly application and/or domain specific
● scarce information on handling, processing,
storage
● no indicators for data quality
● data measured, inferred, guessed?
● sequence of actions not documented
● lacking information on time course (only
duration)
● predominantly free text
⇒ not interoperable
⇒ digital processing difficult.
File format needed
● reflecting the whole
sequence of
processing
● including methods (eg.
by stable reference)
● continued collection of
data along the
process path (from
acquisition to analysis)
● full traceability
comparability of samples from different sources
reproducibility of data generated from the samples
Sample data
Advantages of data sharing
OA as a moral imperative 2000
OA policies – institutions, funding bodies, governments
Size of OA citation advantage when found
(and where explicitly stated by discipline)
% increase
in citations
with Open
Access
Physics/astronomy 170 to 580
Mathematics 35 to 91
Biology -5 to 36
Electrical engineering 51
Computer science 157
Political science 86
Philosophy 45
Medicine 300 to 450
Communications studies (IT) 200
Agricultural sciences 200 to 600
Citation advantage
Swan, Alma (2010) The Open Access citation advantage
BRIF initiative is a an international and multidisciplinary work in
progress initiative that is developing a framework for recognition of
bioresources contribution to Research
Final objective is to create tools that will:
- Facilitate the practice of sharing policies for data and samples
- Promote a philosophy of sharing in the biomedical community
- Facilitate accurate acknowledgement of resource use
in scientific publications and grants via unique resource identifiers
- Develop tools that enable to establish frequency of use of
bioresources and evaluate their impact (develop algorithm metrics)
• Biobank partners
• Computational biologists
• Computer scientists
• Genome/genetics scientists
• Epidemiologists
• Jurists, lawyers
• Ethicists
• Experts in impact factors
• Bibliometricists
• Journal Editors, Publisher
• Researchers/users
The Bioresource Research Impact Factor initiative (BRIF)
* Organization : Working subgroups
‘BRIF & Digital Identifiers’
‘BRIF Parameters’
‘BRIF in Access & Sharing Policies’
‘BRIF dissemination’
‘BRIF and Journal Editors’
 Sensitize journal editors to BRIF issues
 Standardize citations in journal articles
 To develop tool for literature tracing of the bioresource use
* Current citation of bioresources use in scientific
literature
- multiplicity of sections where
bioresources are acknowledged
(Material & Methods,
Acknowledgements, References…)
- bioresource acknowledgement or
citation placed outside the main paper
(or in online supplementary materials)
- typing errors or approximation of the
bioresource name/identification:
multiplicity of names for a given
bioresource; different languages;
- cascade use of resources (e.g. Family
samples that are themselves part of
several other projects
- absence of citation (negligence)
- acknowledgement of persons
instead of bioresources itself
- absence of acknowledgement for
the bioresource used (negligence)
- suitable to refer to one type of
bioresource but not for any
derived, or secondary
bioresources
- No standardized way to
incentivise researchers to
acknowledge properly the
bioresource used
- Websites that no more exist
With minor changes from.: Mabile et al. GigaScience 2013, 2:7
Most of the citation can be detected via full-text mining (not
indexed in Pubmed or Web of Science)
 Literature tracking inadequate, difficult to trace
(not indexed in PubMed or Web of Science)
 Scarce Visibility of researcher, institution, sponsor
 Lack of recognition for work of setting up and
maintaining a valid bioresource
 Biobank USE has not measureable value for career
development (bibliometric issues)
 Lack of incentives for sharing – Underutilization of
bioresources – Waste of existing patrimony
 Lack of simple formats to give information on samples
and data used for research - Reduced reproducibility
* Citation: Lack of standard,
lack of incentives
* Citation of BioResources
in journal Articles
The more you give access to the resources
the more you are cited !!!
standardizing citation of bioresources in
scientific trace their use on the web and
promote access
* CoBRA checklist
Article text section Guidance
* Abstract Indicate whether the work has used one or more bioresources,
and specify their number if relevant.
* Introduction Indicate that the work used one or more bioresources.
Specify the type.
* Methods Report each individual bioresource used to perform the study:
- by their name and other ID, if existent, and
- by a single bibliographic reference.
*(Bioresource) Reference
Cite each bioresource used as follows:
 ID/Bioresource Name (acronym if available)/
 Organisation or network partnership/
 Number of access(es), Date of last access;
 [BIORESOURCE]
*Main CoBRA features
The [BIORESOURCE] reference:
 ID/ DOI/ Bioresource Name (acronym if available)/
How: specific indications for ID / DOI / Name
Significance: It is immediately implementable
 Organisation or network partnership/
How: report membership / partnership in consortia / networks
organizations
Significance: The biobank is individually cited and recognized
Recognize value of partnership /networking
Number of access(es), Date of last access
How: Number of access(es); date of last access
Significance: Recognition of “quantitative work” and appreciation
connected to routinely specialized activities
[BIORESOURCE]
How: Add the tag [BIORESOURCE] ONLY for bioresource USED for
Significance: TRACK the USE of bioresource for research/ application
(bioresource) Reference
Example 5: The bioresource has a DOI and has to be cited
 Case 1: NO-USE: Citation for any case but “use” of the bioresource.
Consuegra I, Jimenez J L, D. The Spanish HIV HGM BioBank (SHIVBB). Biopreservation
and Biobanking. 2013, 11(4): 253-254. doi:10.1089/bio.2013.1133.
Case 2: USE: Citation for a bioresource that contributed to the article with samples and /
or data.
Consuegra I, Jimenez J L,D. The Spanish HIV HGM BioBank (SHIVBB). Biopreservation
and Biobanking. 2013, 11(4): 253-254. doi:10.1089/bio.2013.1133; No. Access: 2, Last:
April 15, 2014. [BIORESOURCE]
[BIORESOURCE]
tag to indicate USE of the bioresource
To differentiate citation of bioresources not used from citation of bioresource
used as a source of material for the study
CoBRA : Example
EQUATOR supports wider practical implementation of
reporting guidelines by all relevant parties to increase the
usability and value of health research
EQUATOR
The EASE Guidelines for Authors and
Translators of Scientific Articles to be
Published in English provide simple, clear
advice aimed at making international scientific
communication more efficient. The updated
edition is freely available in more than 20
languages:
•English (December 2015)
•Arabic (December 2015)
•Bangla (December 2015)
•Bosnian (December 2015)
•Bulgarian (December 2015)
•Chinese (December 2015)
•Croatian (December 2015)
•Czech (December 2015)
•Estonian (December 2015)
•French (December 2015)
•German (December 2015)
•Hungarian (December 2015)
•Italian (December 2015)
•Japanese (December 2015)
•Korean (December 2015)
•Persian (December 2015)
•Polish (December 2015)
•Portuguese (December 2015)
•Romanian (December 2015)
•Russian (December 2015)
•Serbian (December 2015)
•Spanish (December 2015)
•Turkish (December 2015)
•Vietnamese (December 2015)
Methods: ….
”All factors that could have
affected the results need to be
considered. Sources of
experimental materials obtained
from biobanks should be mentioned
with full names and identifiers, if
available (Bravo et al 2015)".
EASE
CoBRA endorsement by IRDIC
Biobank Education Tools
https://zenodo.org/record/55785
Title: How to use the CoBRA guideline
Alessia Calzolari, Filippo Santoro, Elena Bravo
What it is:
Scope: to facilitate the use of the CoBRA guideline
Presented at ISBER 2016
Format: Full HD (1080p), MPEG-4 Part 10 (H.264)
Screencasting: video and audio tracks were recorded in digital
multimedia format, by using Camtasia Studio (trial version,
TechSmith Corporation, Okemos MI, US).
FREE e-learning tool :
Disseminate and facilitate
European Research Infrastructure Consortium (ERIC)
in Biomedicine
At the end of 2013, BBMRI, EATRIS and ECRIN were officially
awarded the Community legal framework and ISS has the mandate
to ensure Italian participation
The ERIC Legal framework
 Internationally recognized legal entity
 ERIC facilitate the joint establishment and operation of research
infrastructures of European interest (ESFRI roadmap)
 Member States annual fee ensure long-term economic sustainability
 Operational sites (National Node) in different countries that operate
under one legislation
 VAT exemption
• BBMRI (Research Biobanks)
• ECRIN (clinical studies and biotherapies)
• EATRIS (translational research)
*BBMRI-ERIC
BBMRI-ERIC promotes CoBRA and
suggests to include the
specification of the reference to be
used in MTA/DTA templates
CoBRA as a service
RDA builds the social and technical bridges
that enable open sharing of data
CoBRA implementation is a tool
to track the use and favor the access to samples
and data
.. complementarity, synergy and collaboration
among the initiatives are necessary to move
forward
* a long list of things to do…
Thank you
CoBRA: BRIF Journal Editor
Paola De Castro
Federica Napolitani
Anna Maria Rossi
Alessia Calzolari
Istituto Superiore di Sanita (ISS), Rome, IT
Anne Cambon-Thomsen
Laurence Mabile
UMR1027 Inserm-Université Toulouse III, FR

Más contenido relacionado

La actualidad más candente

NCBO Tools and Web services
NCBO Tools and Web servicesNCBO Tools and Web services
NCBO Tools and Web servicesTrish Whetzel
 
NCBO Overview and Biositemaps
NCBO Overview and BiositemapsNCBO Overview and Biositemaps
NCBO Overview and BiositemapsTrish Whetzel
 
Model Organism Linked Data
Model Organism Linked DataModel Organism Linked Data
Model Organism Linked DataMichel Dumontier
 
Sample Tracker: A web-based application for tracking and managing environment...
Sample Tracker: A web-based application for tracking and managing environment...Sample Tracker: A web-based application for tracking and managing environment...
Sample Tracker: A web-based application for tracking and managing environment...Gerard Devine
 
Resource Identification Initiative
Resource Identification InitiativeResource Identification Initiative
Resource Identification InitiativeMaryann Martone
 
Data sharing - Data management - The SysMO-SEEK Story
Data sharing - Data management - The SysMO-SEEK StoryData sharing - Data management - The SysMO-SEEK Story
Data sharing - Data management - The SysMO-SEEK StoryResearch Information Network
 
Coursera datascitoolbox 2015
Coursera datascitoolbox 2015Coursera datascitoolbox 2015
Coursera datascitoolbox 2015tushansu
 
Bioinformatics Databases
Bioinformatics DatabasesBioinformatics Databases
Bioinformatics Databasescschlos2
 
KnetMiner - Knowledge Network Miner
KnetMiner - Knowledge Network MinerKnetMiner - Knowledge Network Miner
KnetMiner - Knowledge Network MinerKeywan Hassani-Pak
 
Ensc 5530 jan2017 ci my draft
Ensc 5530 jan2017 ci my draftEnsc 5530 jan2017 ci my draft
Ensc 5530 jan2017 ci my draftciakov
 
2016 ACS Semantic Approaches for Biochemical Knowledge Discovery
2016 ACS Semantic Approaches for Biochemical Knowledge Discovery2016 ACS Semantic Approaches for Biochemical Knowledge Discovery
2016 ACS Semantic Approaches for Biochemical Knowledge DiscoveryMichel Dumontier
 
Introducing the KnetMiner Knowledge Graph: things, not strings
Introducing the KnetMiner Knowledge Graph: things, not stringsIntroducing the KnetMiner Knowledge Graph: things, not strings
Introducing the KnetMiner Knowledge Graph: things, not stringsKeywan Hassani-Pak
 
Data for AI models, the past, the present, the future
Data for AI models, the past, the present, the futureData for AI models, the past, the present, the future
Data for AI models, the past, the present, the futurePistoia Alliance
 
Public Sharing of Research Datasets: A Pilot Study of Associations
Public Sharing of Research Datasets: A Pilot Study of Associations Public Sharing of Research Datasets: A Pilot Study of Associations
Public Sharing of Research Datasets: A Pilot Study of Associations Heather Piwowar
 
Collaborative Research: Scopus & RefWorks
Collaborative Research: Scopus & RefWorksCollaborative Research: Scopus & RefWorks
Collaborative Research: Scopus & RefWorksRobin Featherstone
 
Biology spring 2012_ecology_evolutiion
Biology spring 2012_ecology_evolutiionBiology spring 2012_ecology_evolutiion
Biology spring 2012_ecology_evolutiionBruce Slutsky
 

La actualidad más candente (20)

NCBO Tools and Web services
NCBO Tools and Web servicesNCBO Tools and Web services
NCBO Tools and Web services
 
NCBO Overview and Biositemaps
NCBO Overview and BiositemapsNCBO Overview and Biositemaps
NCBO Overview and Biositemaps
 
Sabina Leonelli
Sabina LeonelliSabina Leonelli
Sabina Leonelli
 
Model Organism Linked Data
Model Organism Linked DataModel Organism Linked Data
Model Organism Linked Data
 
Sample Tracker: A web-based application for tracking and managing environment...
Sample Tracker: A web-based application for tracking and managing environment...Sample Tracker: A web-based application for tracking and managing environment...
Sample Tracker: A web-based application for tracking and managing environment...
 
Pub med
Pub medPub med
Pub med
 
Resource Identification Initiative
Resource Identification InitiativeResource Identification Initiative
Resource Identification Initiative
 
Data sharing - Data management - The SysMO-SEEK Story
Data sharing - Data management - The SysMO-SEEK StoryData sharing - Data management - The SysMO-SEEK Story
Data sharing - Data management - The SysMO-SEEK Story
 
Coursera datascitoolbox 2015
Coursera datascitoolbox 2015Coursera datascitoolbox 2015
Coursera datascitoolbox 2015
 
Bioinformatics Databases
Bioinformatics DatabasesBioinformatics Databases
Bioinformatics Databases
 
KnetMiner - Knowledge Network Miner
KnetMiner - Knowledge Network MinerKnetMiner - Knowledge Network Miner
KnetMiner - Knowledge Network Miner
 
MLA CE Course: Third-Party PubMed Tools
MLA CE Course: Third-Party PubMed ToolsMLA CE Course: Third-Party PubMed Tools
MLA CE Course: Third-Party PubMed Tools
 
Third-Party PubMed Tools
Third-Party PubMed ToolsThird-Party PubMed Tools
Third-Party PubMed Tools
 
Ensc 5530 jan2017 ci my draft
Ensc 5530 jan2017 ci my draftEnsc 5530 jan2017 ci my draft
Ensc 5530 jan2017 ci my draft
 
2016 ACS Semantic Approaches for Biochemical Knowledge Discovery
2016 ACS Semantic Approaches for Biochemical Knowledge Discovery2016 ACS Semantic Approaches for Biochemical Knowledge Discovery
2016 ACS Semantic Approaches for Biochemical Knowledge Discovery
 
Introducing the KnetMiner Knowledge Graph: things, not strings
Introducing the KnetMiner Knowledge Graph: things, not stringsIntroducing the KnetMiner Knowledge Graph: things, not strings
Introducing the KnetMiner Knowledge Graph: things, not strings
 
Data for AI models, the past, the present, the future
Data for AI models, the past, the present, the futureData for AI models, the past, the present, the future
Data for AI models, the past, the present, the future
 
Public Sharing of Research Datasets: A Pilot Study of Associations
Public Sharing of Research Datasets: A Pilot Study of Associations Public Sharing of Research Datasets: A Pilot Study of Associations
Public Sharing of Research Datasets: A Pilot Study of Associations
 
Collaborative Research: Scopus & RefWorks
Collaborative Research: Scopus & RefWorksCollaborative Research: Scopus & RefWorks
Collaborative Research: Scopus & RefWorks
 
Biology spring 2012_ecology_evolutiion
Biology spring 2012_ecology_evolutiionBiology spring 2012_ecology_evolutiion
Biology spring 2012_ecology_evolutiion
 

Destacado

Stories of “Glocality"—Nations in a Global Infrastructure
Stories of “Glocality"—Nations in a Global InfrastructureStories of “Glocality"—Nations in a Global Infrastructure
Stories of “Glocality"—Nations in a Global InfrastructureResearch Data Alliance
 
Parsons citation geodata2014
Parsons citation geodata2014Parsons citation geodata2014
Parsons citation geodata2014Mark Parsons
 
Parsons scidatacon2016
Parsons scidatacon2016Parsons scidatacon2016
Parsons scidatacon2016Mark Parsons
 
Data Policy for Open Science
Data Policy for Open ScienceData Policy for Open Science
Data Policy for Open ScienceMark Parsons
 
Cultural Heritage: when data are much worst than one can believe
Cultural Heritage: when data are much worst than one can believe Cultural Heritage: when data are much worst than one can believe
Cultural Heritage: when data are much worst than one can believe Research Data Alliance
 
Why Data Citation Currently Misses the Point
Why Data Citation Currently Misses the PointWhy Data Citation Currently Misses the Point
Why Data Citation Currently Misses the PointMark Parsons
 
Removing Barriers to Data Sharing: the Research Data Alliance
Removing Barriers to Data Sharing: the Research Data AllianceRemoving Barriers to Data Sharing: the Research Data Alliance
Removing Barriers to Data Sharing: the Research Data AllianceResearch Data Alliance
 
Open Data is Not Enough: Making Data Sharing Work
Open Data is Not Enough: Making Data Sharing WorkOpen Data is Not Enough: Making Data Sharing Work
Open Data is Not Enough: Making Data Sharing WorkResearch Data Alliance
 
Efficient and effective: can we combine both to realize high-value, open, sca...
Efficient and effective: can we combine both to realize high-value, open, sca...Efficient and effective: can we combine both to realize high-value, open, sca...
Efficient and effective: can we combine both to realize high-value, open, sca...Research Data Alliance
 
SoBigData. European Research Infrastructure for Big Data and Social Mining
SoBigData. European Research Infrastructure for Big Data and Social MiningSoBigData. European Research Infrastructure for Big Data and Social Mining
SoBigData. European Research Infrastructure for Big Data and Social MiningResearch Data Alliance
 
OpenAIRE and Eudat services and tools to support FAIR DMP implementation
OpenAIRE and Eudat services and tools to support FAIR DMP implementation OpenAIRE and Eudat services and tools to support FAIR DMP implementation
OpenAIRE and Eudat services and tools to support FAIR DMP implementation Research Data Alliance
 
Rda in a_nutshell_february_2017_updated
Rda in a_nutshell_february_2017_updatedRda in a_nutshell_february_2017_updated
Rda in a_nutshell_february_2017_updatedResearch Data Alliance
 

Destacado (17)

Research Data Alliance Overview
Research Data Alliance OverviewResearch Data Alliance Overview
Research Data Alliance Overview
 
Stories of “Glocality"—Nations in a Global Infrastructure
Stories of “Glocality"—Nations in a Global InfrastructureStories of “Glocality"—Nations in a Global Infrastructure
Stories of “Glocality"—Nations in a Global Infrastructure
 
Parsons citation geodata2014
Parsons citation geodata2014Parsons citation geodata2014
Parsons citation geodata2014
 
Parsons scidatacon2016
Parsons scidatacon2016Parsons scidatacon2016
Parsons scidatacon2016
 
Data Policy for Open Science
Data Policy for Open ScienceData Policy for Open Science
Data Policy for Open Science
 
Cultural Heritage: when data are much worst than one can believe
Cultural Heritage: when data are much worst than one can believe Cultural Heritage: when data are much worst than one can believe
Cultural Heritage: when data are much worst than one can believe
 
Why Data Citation Currently Misses the Point
Why Data Citation Currently Misses the PointWhy Data Citation Currently Misses the Point
Why Data Citation Currently Misses the Point
 
Removing Barriers to Data Sharing: the Research Data Alliance
Removing Barriers to Data Sharing: the Research Data AllianceRemoving Barriers to Data Sharing: the Research Data Alliance
Removing Barriers to Data Sharing: the Research Data Alliance
 
Open Data is Not Enough: Making Data Sharing Work
Open Data is Not Enough: Making Data Sharing WorkOpen Data is Not Enough: Making Data Sharing Work
Open Data is Not Enough: Making Data Sharing Work
 
Efficient and effective: can we combine both to realize high-value, open, sca...
Efficient and effective: can we combine both to realize high-value, open, sca...Efficient and effective: can we combine both to realize high-value, open, sca...
Efficient and effective: can we combine both to realize high-value, open, sca...
 
Research Data Alliance Overview
Research Data Alliance OverviewResearch Data Alliance Overview
Research Data Alliance Overview
 
SoBigData. European Research Infrastructure for Big Data and Social Mining
SoBigData. European Research Infrastructure for Big Data and Social MiningSoBigData. European Research Infrastructure for Big Data and Social Mining
SoBigData. European Research Infrastructure for Big Data and Social Mining
 
"Cool" metadata for FAIR data
"Cool" metadata for FAIR data"Cool" metadata for FAIR data
"Cool" metadata for FAIR data
 
OpenAIRE and Eudat services and tools to support FAIR DMP implementation
OpenAIRE and Eudat services and tools to support FAIR DMP implementation OpenAIRE and Eudat services and tools to support FAIR DMP implementation
OpenAIRE and Eudat services and tools to support FAIR DMP implementation
 
Whole brain optical imaging
Whole brain optical imagingWhole brain optical imaging
Whole brain optical imaging
 
Rda in a_nutshell_february_2017_updated
Rda in a_nutshell_february_2017_updatedRda in a_nutshell_february_2017_updated
Rda in a_nutshell_february_2017_updated
 
Data curator: who is s/he?
Data curator: who is s/he?Data curator: who is s/he?
Data curator: who is s/he?
 

Similar a CoBRA guideline : a tool to facilitate sharing, reuse, and reproducibility of bioresource-based research

NIH iDASH meeting on data sharing - BioSharing, ISA and Scientific Data
NIH iDASH meeting on data sharing - BioSharing, ISA and Scientific DataNIH iDASH meeting on data sharing - BioSharing, ISA and Scientific Data
NIH iDASH meeting on data sharing - BioSharing, ISA and Scientific DataSusanna-Assunta Sansone
 
Scientific Data overview of Data Descriptors - WT Data-Literature integration...
Scientific Data overview of Data Descriptors - WT Data-Literature integration...Scientific Data overview of Data Descriptors - WT Data-Literature integration...
Scientific Data overview of Data Descriptors - WT Data-Literature integration...Susanna-Assunta Sansone
 
Metadata challenges research and re-usable data - BioSharing, ISA and STATO
Metadata challenges research and re-usable data - BioSharing, ISA and STATOMetadata challenges research and re-usable data - BioSharing, ISA and STATO
Metadata challenges research and re-usable data - BioSharing, ISA and STATOAlejandra Gonzalez-Beltran
 
Open Access Week - Oxford, 20-24 Oct 2014
Open Access Week - Oxford, 20-24 Oct 2014Open Access Week - Oxford, 20-24 Oct 2014
Open Access Week - Oxford, 20-24 Oct 2014Susanna-Assunta Sansone
 
Oxford DTP - Sansone - Data publications and Scientific Data - Dec 2014
Oxford DTP - Sansone - Data publications and Scientific Data - Dec 2014Oxford DTP - Sansone - Data publications and Scientific Data - Dec 2014
Oxford DTP - Sansone - Data publications and Scientific Data - Dec 2014Susanna-Assunta Sansone
 
BRIF: Bioresource Research Impact Factor - Anne Cambon-Thomsen - INSERM
BRIF: Bioresource Research Impact Factor - Anne Cambon-Thomsen - INSERMBRIF: Bioresource Research Impact Factor - Anne Cambon-Thomsen - INSERM
BRIF: Bioresource Research Impact Factor - Anne Cambon-Thomsen - INSERMLisette Giepmans
 
SciDataCon 2014 Data Papers and their applications workshop - NPG Scientific ...
SciDataCon 2014 Data Papers and their applications workshop - NPG Scientific ...SciDataCon 2014 Data Papers and their applications workshop - NPG Scientific ...
SciDataCon 2014 Data Papers and their applications workshop - NPG Scientific ...Susanna-Assunta Sansone
 
2015 12 ebi_ganley_final
2015 12 ebi_ganley_final2015 12 ebi_ganley_final
2015 12 ebi_ganley_finalEmma Ganley
 
Identifying and tracking research resources using RRIDs: a practical approach
Identifying and tracking research resources using RRIDs:  a practical approachIdentifying and tracking research resources using RRIDs:  a practical approach
Identifying and tracking research resources using RRIDs: a practical approachdkNET
 
In metrics we trust?
In metrics we trust?In metrics we trust?
In metrics we trust?ORCID, Inc
 
Gaining credit for sharing research data
Gaining credit for sharing research dataGaining credit for sharing research data
Gaining credit for sharing research dataVarsha Khodiyar
 
The Diversity of Biomedical Data, Databases and Standards (Research Data Alli...
The Diversity of Biomedical Data, Databases and Standards (Research Data Alli...The Diversity of Biomedical Data, Databases and Standards (Research Data Alli...
The Diversity of Biomedical Data, Databases and Standards (Research Data Alli...Peter McQuilton
 
Data sharing as part of the research workflow
Data sharing as part of the research workflowData sharing as part of the research workflow
Data sharing as part of the research workflowVarsha Khodiyar
 
Showcasing your Research Impact using Bibliometrics
Showcasing your Research Impact using BibliometricsShowcasing your Research Impact using Bibliometrics
Showcasing your Research Impact using BibliometricsCiarán Quinn
 
Overview of standards/stakeholders in life science (RDA Engagement Interest G...
Overview of standards/stakeholders in life science (RDA Engagement Interest G...Overview of standards/stakeholders in life science (RDA Engagement Interest G...
Overview of standards/stakeholders in life science (RDA Engagement Interest G...Susanna-Assunta Sansone
 
Altmetrics 101 - Altmetrics in Libraries
Altmetrics 101 - Altmetrics in LibrariesAltmetrics 101 - Altmetrics in Libraries
Altmetrics 101 - Altmetrics in LibrariesIUPUI
 
Atmiya university. shree m n virani college of science 14 oct 2021. researc...
Atmiya university. shree m n virani college of science 14 oct 2021.   researc...Atmiya university. shree m n virani college of science 14 oct 2021.   researc...
Atmiya university. shree m n virani college of science 14 oct 2021. researc...Saurashtra University
 
2021-01-27--biodiversity-informatics-gbif-(52slides)
2021-01-27--biodiversity-informatics-gbif-(52slides)2021-01-27--biodiversity-informatics-gbif-(52slides)
2021-01-27--biodiversity-informatics-gbif-(52slides)Dag Endresen
 
Sansone bio sharing introduction
Sansone bio sharing introductionSansone bio sharing introduction
Sansone bio sharing introductionMIBBI Checklists
 

Similar a CoBRA guideline : a tool to facilitate sharing, reuse, and reproducibility of bioresource-based research (20)

NIH iDASH meeting on data sharing - BioSharing, ISA and Scientific Data
NIH iDASH meeting on data sharing - BioSharing, ISA and Scientific DataNIH iDASH meeting on data sharing - BioSharing, ISA and Scientific Data
NIH iDASH meeting on data sharing - BioSharing, ISA and Scientific Data
 
Scientific Data overview of Data Descriptors - WT Data-Literature integration...
Scientific Data overview of Data Descriptors - WT Data-Literature integration...Scientific Data overview of Data Descriptors - WT Data-Literature integration...
Scientific Data overview of Data Descriptors - WT Data-Literature integration...
 
Metadata challenges research and re-usable data - BioSharing, ISA and STATO
Metadata challenges research and re-usable data - BioSharing, ISA and STATOMetadata challenges research and re-usable data - BioSharing, ISA and STATO
Metadata challenges research and re-usable data - BioSharing, ISA and STATO
 
Open Access Week - Oxford, 20-24 Oct 2014
Open Access Week - Oxford, 20-24 Oct 2014Open Access Week - Oxford, 20-24 Oct 2014
Open Access Week - Oxford, 20-24 Oct 2014
 
Oxford DTP - Sansone - Data publications and Scientific Data - Dec 2014
Oxford DTP - Sansone - Data publications and Scientific Data - Dec 2014Oxford DTP - Sansone - Data publications and Scientific Data - Dec 2014
Oxford DTP - Sansone - Data publications and Scientific Data - Dec 2014
 
Sansone mibbi-intro
Sansone mibbi-introSansone mibbi-intro
Sansone mibbi-intro
 
BRIF: Bioresource Research Impact Factor - Anne Cambon-Thomsen - INSERM
BRIF: Bioresource Research Impact Factor - Anne Cambon-Thomsen - INSERMBRIF: Bioresource Research Impact Factor - Anne Cambon-Thomsen - INSERM
BRIF: Bioresource Research Impact Factor - Anne Cambon-Thomsen - INSERM
 
SciDataCon 2014 Data Papers and their applications workshop - NPG Scientific ...
SciDataCon 2014 Data Papers and their applications workshop - NPG Scientific ...SciDataCon 2014 Data Papers and their applications workshop - NPG Scientific ...
SciDataCon 2014 Data Papers and their applications workshop - NPG Scientific ...
 
2015 12 ebi_ganley_final
2015 12 ebi_ganley_final2015 12 ebi_ganley_final
2015 12 ebi_ganley_final
 
Identifying and tracking research resources using RRIDs: a practical approach
Identifying and tracking research resources using RRIDs:  a practical approachIdentifying and tracking research resources using RRIDs:  a practical approach
Identifying and tracking research resources using RRIDs: a practical approach
 
In metrics we trust?
In metrics we trust?In metrics we trust?
In metrics we trust?
 
Gaining credit for sharing research data
Gaining credit for sharing research dataGaining credit for sharing research data
Gaining credit for sharing research data
 
The Diversity of Biomedical Data, Databases and Standards (Research Data Alli...
The Diversity of Biomedical Data, Databases and Standards (Research Data Alli...The Diversity of Biomedical Data, Databases and Standards (Research Data Alli...
The Diversity of Biomedical Data, Databases and Standards (Research Data Alli...
 
Data sharing as part of the research workflow
Data sharing as part of the research workflowData sharing as part of the research workflow
Data sharing as part of the research workflow
 
Showcasing your Research Impact using Bibliometrics
Showcasing your Research Impact using BibliometricsShowcasing your Research Impact using Bibliometrics
Showcasing your Research Impact using Bibliometrics
 
Overview of standards/stakeholders in life science (RDA Engagement Interest G...
Overview of standards/stakeholders in life science (RDA Engagement Interest G...Overview of standards/stakeholders in life science (RDA Engagement Interest G...
Overview of standards/stakeholders in life science (RDA Engagement Interest G...
 
Altmetrics 101 - Altmetrics in Libraries
Altmetrics 101 - Altmetrics in LibrariesAltmetrics 101 - Altmetrics in Libraries
Altmetrics 101 - Altmetrics in Libraries
 
Atmiya university. shree m n virani college of science 14 oct 2021. researc...
Atmiya university. shree m n virani college of science 14 oct 2021.   researc...Atmiya university. shree m n virani college of science 14 oct 2021.   researc...
Atmiya university. shree m n virani college of science 14 oct 2021. researc...
 
2021-01-27--biodiversity-informatics-gbif-(52slides)
2021-01-27--biodiversity-informatics-gbif-(52slides)2021-01-27--biodiversity-informatics-gbif-(52slides)
2021-01-27--biodiversity-informatics-gbif-(52slides)
 
Sansone bio sharing introduction
Sansone bio sharing introductionSansone bio sharing introduction
Sansone bio sharing introduction
 

Más de Research Data Alliance

The Value of the Research Data Alliance to Individuals
The Value of the Research Data Alliance to IndividualsThe Value of the Research Data Alliance to Individuals
The Value of the Research Data Alliance to IndividualsResearch Data Alliance
 
The Value of the Research Data Alliance to Individuals
The Value of the Research Data Alliance to IndividualsThe Value of the Research Data Alliance to Individuals
The Value of the Research Data Alliance to IndividualsResearch Data Alliance
 
RDA Value for Infrastructure Providers
RDA Value for Infrastructure ProvidersRDA Value for Infrastructure Providers
RDA Value for Infrastructure ProvidersResearch Data Alliance
 
The Value of the Rda Value for Organisations Performing Research
The Value of the Rda Value for Organisations Performing ResearchThe Value of the Rda Value for Organisations Performing Research
The Value of the Rda Value for Organisations Performing ResearchResearch Data Alliance
 

Más de Research Data Alliance (20)

RDA in a Nutshell - September 2020
RDA in a Nutshell - September 2020RDA in a Nutshell - September 2020
RDA in a Nutshell - September 2020
 
RDA in a Nutshell - August 2020
RDA in a Nutshell - August 2020RDA in a Nutshell - August 2020
RDA in a Nutshell - August 2020
 
RDA in a Nutshell - July 2020
RDA in a Nutshell - July 2020RDA in a Nutshell - July 2020
RDA in a Nutshell - July 2020
 
RDA in a Nutshell - June 2020
RDA in a Nutshell - June 2020RDA in a Nutshell - June 2020
RDA in a Nutshell - June 2020
 
RDA in a Nutshell - May 2020
RDA in a Nutshell - May 2020RDA in a Nutshell - May 2020
RDA in a Nutshell - May 2020
 
RDA in a Nutshell - April 2020
RDA in a Nutshell - April 2020RDA in a Nutshell - April 2020
RDA in a Nutshell - April 2020
 
RDA in a Nutshell - March 2020
RDA in a Nutshell - March 2020RDA in a Nutshell - March 2020
RDA in a Nutshell - March 2020
 
RDA in a Nutshell - February 2020
RDA in a Nutshell - February 2020RDA in a Nutshell - February 2020
RDA in a Nutshell - February 2020
 
RDA in a Nutshell - January 2020
RDA in a Nutshell - January 2020RDA in a Nutshell - January 2020
RDA in a Nutshell - January 2020
 
Rda in a Nutshell - December 2019
Rda in a Nutshell - December 2019Rda in a Nutshell - December 2019
Rda in a Nutshell - December 2019
 
Rda in a Nutshell - November 2019
Rda in a Nutshell - November 2019Rda in a Nutshell - November 2019
Rda in a Nutshell - November 2019
 
RDA in a Nutshell - October 2019
RDA in a Nutshell - October 2019RDA in a Nutshell - October 2019
RDA in a Nutshell - October 2019
 
The Value of the Research Data Alliance to Individuals
The Value of the Research Data Alliance to IndividualsThe Value of the Research Data Alliance to Individuals
The Value of the Research Data Alliance to Individuals
 
The Value of the Research Data Alliance to Individuals
The Value of the Research Data Alliance to IndividualsThe Value of the Research Data Alliance to Individuals
The Value of the Research Data Alliance to Individuals
 
RDA Value for Infrastructure Providers
RDA Value for Infrastructure ProvidersRDA Value for Infrastructure Providers
RDA Value for Infrastructure Providers
 
Rda in a nutshell september 2019
Rda in a nutshell september 2019Rda in a nutshell september 2019
Rda in a nutshell september 2019
 
The Value of the Rda Value for Organisations Performing Research
The Value of the Rda Value for Organisations Performing ResearchThe Value of the Rda Value for Organisations Performing Research
The Value of the Rda Value for Organisations Performing Research
 
RDA Value for Libraries
RDA Value for LibrariesRDA Value for Libraries
RDA Value for Libraries
 
The Value of the RDA for Funders
The Value of the RDA for FundersThe Value of the RDA for Funders
The Value of the RDA for Funders
 
Rda in a nutshell august 2019
Rda in a nutshell august 2019Rda in a nutshell august 2019
Rda in a nutshell august 2019
 

Último

Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Boston Institute of Analytics
 
Cyber awareness ppt on the recorded data
Cyber awareness ppt on the recorded dataCyber awareness ppt on the recorded data
Cyber awareness ppt on the recorded dataTecnoIncentive
 
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...Amil Baba Dawood bangali
 
What To Do For World Nature Conservation Day by Slidesgo.pptx
What To Do For World Nature Conservation Day by Slidesgo.pptxWhat To Do For World Nature Conservation Day by Slidesgo.pptx
What To Do For World Nature Conservation Day by Slidesgo.pptxSimranPal17
 
modul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptxmodul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptxaleedritatuxx
 
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...Dr Arash Najmaei ( Phd., MBA, BSc)
 
The Power of Data-Driven Storytelling_ Unveiling the Layers of Insight.pptx
The Power of Data-Driven Storytelling_ Unveiling the Layers of Insight.pptxThe Power of Data-Driven Storytelling_ Unveiling the Layers of Insight.pptx
The Power of Data-Driven Storytelling_ Unveiling the Layers of Insight.pptxTasha Penwell
 
World Economic Forum Metaverse Ecosystem By Utpal Chakraborty.pdf
World Economic Forum Metaverse Ecosystem By Utpal Chakraborty.pdfWorld Economic Forum Metaverse Ecosystem By Utpal Chakraborty.pdf
World Economic Forum Metaverse Ecosystem By Utpal Chakraborty.pdfsimulationsindia
 
Principles and Practices of Data Visualization
Principles and Practices of Data VisualizationPrinciples and Practices of Data Visualization
Principles and Practices of Data VisualizationKianJazayeri1
 
Rithik Kumar Singh codealpha pythohn.pdf
Rithik Kumar Singh codealpha pythohn.pdfRithik Kumar Singh codealpha pythohn.pdf
Rithik Kumar Singh codealpha pythohn.pdfrahulyadav957181
 
Digital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing worksDigital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing worksdeepakthakur548787
 
Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Seán Kennedy
 
Networking Case Study prepared by teacher.pptx
Networking Case Study prepared by teacher.pptxNetworking Case Study prepared by teacher.pptx
Networking Case Study prepared by teacher.pptxHimangsuNath
 
Learn How Data Science Changes Our World
Learn How Data Science Changes Our WorldLearn How Data Science Changes Our World
Learn How Data Science Changes Our WorldEduminds Learning
 
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis model
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis modelDecoding Movie Sentiments: Analyzing Reviews with Data Analysis model
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis modelBoston Institute of Analytics
 
SMOTE and K-Fold Cross Validation-Presentation.pptx
SMOTE and K-Fold Cross Validation-Presentation.pptxSMOTE and K-Fold Cross Validation-Presentation.pptx
SMOTE and K-Fold Cross Validation-Presentation.pptxHaritikaChhatwal1
 
Decoding Patterns: Customer Churn Prediction Data Analysis Project
Decoding Patterns: Customer Churn Prediction Data Analysis ProjectDecoding Patterns: Customer Churn Prediction Data Analysis Project
Decoding Patterns: Customer Churn Prediction Data Analysis ProjectBoston Institute of Analytics
 
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Boston Institute of Analytics
 

Último (20)

Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
 
Insurance Churn Prediction Data Analysis Project
Insurance Churn Prediction Data Analysis ProjectInsurance Churn Prediction Data Analysis Project
Insurance Churn Prediction Data Analysis Project
 
Cyber awareness ppt on the recorded data
Cyber awareness ppt on the recorded dataCyber awareness ppt on the recorded data
Cyber awareness ppt on the recorded data
 
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
 
Data Analysis Project: Stroke Prediction
Data Analysis Project: Stroke PredictionData Analysis Project: Stroke Prediction
Data Analysis Project: Stroke Prediction
 
What To Do For World Nature Conservation Day by Slidesgo.pptx
What To Do For World Nature Conservation Day by Slidesgo.pptxWhat To Do For World Nature Conservation Day by Slidesgo.pptx
What To Do For World Nature Conservation Day by Slidesgo.pptx
 
modul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptxmodul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptx
 
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
 
The Power of Data-Driven Storytelling_ Unveiling the Layers of Insight.pptx
The Power of Data-Driven Storytelling_ Unveiling the Layers of Insight.pptxThe Power of Data-Driven Storytelling_ Unveiling the Layers of Insight.pptx
The Power of Data-Driven Storytelling_ Unveiling the Layers of Insight.pptx
 
World Economic Forum Metaverse Ecosystem By Utpal Chakraborty.pdf
World Economic Forum Metaverse Ecosystem By Utpal Chakraborty.pdfWorld Economic Forum Metaverse Ecosystem By Utpal Chakraborty.pdf
World Economic Forum Metaverse Ecosystem By Utpal Chakraborty.pdf
 
Principles and Practices of Data Visualization
Principles and Practices of Data VisualizationPrinciples and Practices of Data Visualization
Principles and Practices of Data Visualization
 
Rithik Kumar Singh codealpha pythohn.pdf
Rithik Kumar Singh codealpha pythohn.pdfRithik Kumar Singh codealpha pythohn.pdf
Rithik Kumar Singh codealpha pythohn.pdf
 
Digital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing worksDigital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing works
 
Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...
 
Networking Case Study prepared by teacher.pptx
Networking Case Study prepared by teacher.pptxNetworking Case Study prepared by teacher.pptx
Networking Case Study prepared by teacher.pptx
 
Learn How Data Science Changes Our World
Learn How Data Science Changes Our WorldLearn How Data Science Changes Our World
Learn How Data Science Changes Our World
 
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis model
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis modelDecoding Movie Sentiments: Analyzing Reviews with Data Analysis model
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis model
 
SMOTE and K-Fold Cross Validation-Presentation.pptx
SMOTE and K-Fold Cross Validation-Presentation.pptxSMOTE and K-Fold Cross Validation-Presentation.pptx
SMOTE and K-Fold Cross Validation-Presentation.pptx
 
Decoding Patterns: Customer Churn Prediction Data Analysis Project
Decoding Patterns: Customer Churn Prediction Data Analysis ProjectDecoding Patterns: Customer Churn Prediction Data Analysis Project
Decoding Patterns: Customer Churn Prediction Data Analysis Project
 
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
 

CoBRA guideline : a tool to facilitate sharing, reuse, and reproducibility of bioresource-based research

  • 1. CoBRA guideline : a tool to facilitate sharing, reuse, and reproducibility of bioresource-based research Elena Bravo elena.bravo@iss.it RDA National Event in Italy | 14 -15 November 2016, Florence FAIR data management: best practices and open issues
  • 2. *researchers ask the wrong questions *study designs are inadequate or inappropriate *studies are not reported appropriately, or are either not published *Publish or perish - Predatory journals * Misconduct, metrics 85% OF RESEARCH IS WASTE WHY? October 19th 2013 PERSPECTIVE The Economics of Reproducibility in Preclinical Research Leonard P. Freedman1*, Iain M. Cockburn2, Timothy S. Simcoe2,3 SimcoePLoSBiol13(6):2015 How science goes wrong: Scientific research has changed the world. Now it needs to change itself Reduce
  • 3. CoBRA is a Reporting Guideline for the Standardized Citation Of BioResources in scientific journal Articles What is CoBRA Author guidelines promote open research culture help transparency, openness, and reproducibility of the results SCIENTIFIC STANDARDS POLICY (B. A. Nosek et alScience 26 Jun 2015)  The Reporting Guidelines help to improve completeness and clearness of research articles.  The Reporting Guidelines are essential resources for writing and publishing health research.
  • 4. Fam. history Lab. param. Treatm. outcome Lifestyle PBMC Serum FFPE tissues Frozen tissues Cells Antibodies Affinity binders Recomb. proteins Gene clone collections* siRNA libraries* Cell lines* Model organisms* Sample storage Healthy Population Patients Analysis tools Application Basic research Life sciences Targets for Drug discovery Biomarkers for Drug development New diagnostics Personalized medicine Public health Infrastructure Data storage Biocomputing DNA Key Components of human biobanking
  • 5. The biological material is essential raw material for research and for development of biotechnological applications It is crucial to share this patrimony
  • 6. Biological samples with associated data Health Databases organized collection of data and information by inputting, storing, retrieving and managing and updating, registry Bioresources Bioresources: It includes biological samples and associated data (classification / characterization, epidemiological and /or clinical data as well as omics, imaging etc).. The “concrete” part of sample decrease in quantity The “data” associated to sample, that is the "knowledge" of the sample, increase over the time. the samples are transformed in data and data…do not move!!
  • 7. Bioresources data are :  static (i.e.: provenance, primary material description)  dynamic (i.e.: sequence of steps is relevant  some steps occur repeatedly (transport – processing – storage)
  • 8. Limitations of existing concepts ● inconsistent data items ● no common vocabulary ● highly application and/or domain specific ● scarce information on handling, processing, storage ● no indicators for data quality ● data measured, inferred, guessed? ● sequence of actions not documented ● lacking information on time course (only duration) ● predominantly free text ⇒ not interoperable ⇒ digital processing difficult. File format needed ● reflecting the whole sequence of processing ● including methods (eg. by stable reference) ● continued collection of data along the process path (from acquisition to analysis) ● full traceability comparability of samples from different sources reproducibility of data generated from the samples Sample data
  • 9. Advantages of data sharing OA as a moral imperative 2000 OA policies – institutions, funding bodies, governments Size of OA citation advantage when found (and where explicitly stated by discipline) % increase in citations with Open Access Physics/astronomy 170 to 580 Mathematics 35 to 91 Biology -5 to 36 Electrical engineering 51 Computer science 157 Political science 86 Philosophy 45 Medicine 300 to 450 Communications studies (IT) 200 Agricultural sciences 200 to 600 Citation advantage Swan, Alma (2010) The Open Access citation advantage
  • 10. BRIF initiative is a an international and multidisciplinary work in progress initiative that is developing a framework for recognition of bioresources contribution to Research Final objective is to create tools that will: - Facilitate the practice of sharing policies for data and samples - Promote a philosophy of sharing in the biomedical community - Facilitate accurate acknowledgement of resource use in scientific publications and grants via unique resource identifiers - Develop tools that enable to establish frequency of use of bioresources and evaluate their impact (develop algorithm metrics) • Biobank partners • Computational biologists • Computer scientists • Genome/genetics scientists • Epidemiologists • Jurists, lawyers • Ethicists • Experts in impact factors • Bibliometricists • Journal Editors, Publisher • Researchers/users The Bioresource Research Impact Factor initiative (BRIF)
  • 11. * Organization : Working subgroups ‘BRIF & Digital Identifiers’ ‘BRIF Parameters’ ‘BRIF in Access & Sharing Policies’ ‘BRIF dissemination’ ‘BRIF and Journal Editors’  Sensitize journal editors to BRIF issues  Standardize citations in journal articles  To develop tool for literature tracing of the bioresource use
  • 12. * Current citation of bioresources use in scientific literature - multiplicity of sections where bioresources are acknowledged (Material & Methods, Acknowledgements, References…) - bioresource acknowledgement or citation placed outside the main paper (or in online supplementary materials) - typing errors or approximation of the bioresource name/identification: multiplicity of names for a given bioresource; different languages; - cascade use of resources (e.g. Family samples that are themselves part of several other projects - absence of citation (negligence) - acknowledgement of persons instead of bioresources itself - absence of acknowledgement for the bioresource used (negligence) - suitable to refer to one type of bioresource but not for any derived, or secondary bioresources - No standardized way to incentivise researchers to acknowledge properly the bioresource used - Websites that no more exist With minor changes from.: Mabile et al. GigaScience 2013, 2:7 Most of the citation can be detected via full-text mining (not indexed in Pubmed or Web of Science)
  • 13.  Literature tracking inadequate, difficult to trace (not indexed in PubMed or Web of Science)  Scarce Visibility of researcher, institution, sponsor  Lack of recognition for work of setting up and maintaining a valid bioresource  Biobank USE has not measureable value for career development (bibliometric issues)  Lack of incentives for sharing – Underutilization of bioresources – Waste of existing patrimony  Lack of simple formats to give information on samples and data used for research - Reduced reproducibility * Citation: Lack of standard, lack of incentives
  • 14. * Citation of BioResources in journal Articles The more you give access to the resources the more you are cited !!! standardizing citation of bioresources in scientific trace their use on the web and promote access
  • 15. * CoBRA checklist Article text section Guidance * Abstract Indicate whether the work has used one or more bioresources, and specify their number if relevant. * Introduction Indicate that the work used one or more bioresources. Specify the type. * Methods Report each individual bioresource used to perform the study: - by their name and other ID, if existent, and - by a single bibliographic reference. *(Bioresource) Reference Cite each bioresource used as follows:  ID/Bioresource Name (acronym if available)/  Organisation or network partnership/  Number of access(es), Date of last access;  [BIORESOURCE]
  • 16. *Main CoBRA features The [BIORESOURCE] reference:  ID/ DOI/ Bioresource Name (acronym if available)/ How: specific indications for ID / DOI / Name Significance: It is immediately implementable  Organisation or network partnership/ How: report membership / partnership in consortia / networks organizations Significance: The biobank is individually cited and recognized Recognize value of partnership /networking Number of access(es), Date of last access How: Number of access(es); date of last access Significance: Recognition of “quantitative work” and appreciation connected to routinely specialized activities [BIORESOURCE] How: Add the tag [BIORESOURCE] ONLY for bioresource USED for Significance: TRACK the USE of bioresource for research/ application
  • 17. (bioresource) Reference Example 5: The bioresource has a DOI and has to be cited  Case 1: NO-USE: Citation for any case but “use” of the bioresource. Consuegra I, Jimenez J L, D. The Spanish HIV HGM BioBank (SHIVBB). Biopreservation and Biobanking. 2013, 11(4): 253-254. doi:10.1089/bio.2013.1133. Case 2: USE: Citation for a bioresource that contributed to the article with samples and / or data. Consuegra I, Jimenez J L,D. The Spanish HIV HGM BioBank (SHIVBB). Biopreservation and Biobanking. 2013, 11(4): 253-254. doi:10.1089/bio.2013.1133; No. Access: 2, Last: April 15, 2014. [BIORESOURCE] [BIORESOURCE] tag to indicate USE of the bioresource To differentiate citation of bioresources not used from citation of bioresource used as a source of material for the study CoBRA : Example
  • 18. EQUATOR supports wider practical implementation of reporting guidelines by all relevant parties to increase the usability and value of health research EQUATOR
  • 19.
  • 20. The EASE Guidelines for Authors and Translators of Scientific Articles to be Published in English provide simple, clear advice aimed at making international scientific communication more efficient. The updated edition is freely available in more than 20 languages: •English (December 2015) •Arabic (December 2015) •Bangla (December 2015) •Bosnian (December 2015) •Bulgarian (December 2015) •Chinese (December 2015) •Croatian (December 2015) •Czech (December 2015) •Estonian (December 2015) •French (December 2015) •German (December 2015) •Hungarian (December 2015) •Italian (December 2015) •Japanese (December 2015) •Korean (December 2015) •Persian (December 2015) •Polish (December 2015) •Portuguese (December 2015) •Romanian (December 2015) •Russian (December 2015) •Serbian (December 2015) •Spanish (December 2015) •Turkish (December 2015) •Vietnamese (December 2015) Methods: …. ”All factors that could have affected the results need to be considered. Sources of experimental materials obtained from biobanks should be mentioned with full names and identifiers, if available (Bravo et al 2015)". EASE
  • 22. Biobank Education Tools https://zenodo.org/record/55785 Title: How to use the CoBRA guideline Alessia Calzolari, Filippo Santoro, Elena Bravo What it is: Scope: to facilitate the use of the CoBRA guideline Presented at ISBER 2016 Format: Full HD (1080p), MPEG-4 Part 10 (H.264) Screencasting: video and audio tracks were recorded in digital multimedia format, by using Camtasia Studio (trial version, TechSmith Corporation, Okemos MI, US). FREE e-learning tool : Disseminate and facilitate
  • 23. European Research Infrastructure Consortium (ERIC) in Biomedicine At the end of 2013, BBMRI, EATRIS and ECRIN were officially awarded the Community legal framework and ISS has the mandate to ensure Italian participation The ERIC Legal framework  Internationally recognized legal entity  ERIC facilitate the joint establishment and operation of research infrastructures of European interest (ESFRI roadmap)  Member States annual fee ensure long-term economic sustainability  Operational sites (National Node) in different countries that operate under one legislation  VAT exemption • BBMRI (Research Biobanks) • ECRIN (clinical studies and biotherapies) • EATRIS (translational research)
  • 24. *BBMRI-ERIC BBMRI-ERIC promotes CoBRA and suggests to include the specification of the reference to be used in MTA/DTA templates CoBRA as a service
  • 25. RDA builds the social and technical bridges that enable open sharing of data CoBRA implementation is a tool to track the use and favor the access to samples and data .. complementarity, synergy and collaboration among the initiatives are necessary to move forward * a long list of things to do…
  • 26. Thank you CoBRA: BRIF Journal Editor Paola De Castro Federica Napolitani Anna Maria Rossi Alessia Calzolari Istituto Superiore di Sanita (ISS), Rome, IT Anne Cambon-Thomsen Laurence Mabile UMR1027 Inserm-Université Toulouse III, FR