Bibliometrics in practice: how to generate reports for institutions.Torres Salinas
In an institutional context and at a professional level, one of our main tasks is to carry out bibliometric reports; actually these studies are essential because they are used by managers to make decisions (distribution of funds, recruitment of personnel, planning of research lines, …). In this talk we will explain how to make a global bibliometric report of an institution, we use as a case study the University of Granada. We focus in these topics. 1) General considerations: target, selection of indicators, objetives, …) 2) what sources of information can be used. 3) How to contextualize and interpret the indicators. 4) How to compare the results with other institutions (Benchmarking). 5) How to make graphs and tables. 6) dissemination of results and data
Presentación de CLACSO-FOLEC (Rovelli-Babini) en Global Research Council (GRC), Americas Regional Meeting side event. 3 diciembre 2021. https://fapesp.br/files/upload/15191/program3011.pdf
Bibliometrics in practice: how to generate reports for institutions.Torres Salinas
In an institutional context and at a professional level, one of our main tasks is to carry out bibliometric reports; actually these studies are essential because they are used by managers to make decisions (distribution of funds, recruitment of personnel, planning of research lines, …). In this talk we will explain how to make a global bibliometric report of an institution, we use as a case study the University of Granada. We focus in these topics. 1) General considerations: target, selection of indicators, objetives, …) 2) what sources of information can be used. 3) How to contextualize and interpret the indicators. 4) How to compare the results with other institutions (Benchmarking). 5) How to make graphs and tables. 6) dissemination of results and data
Presentación de CLACSO-FOLEC (Rovelli-Babini) en Global Research Council (GRC), Americas Regional Meeting side event. 3 diciembre 2021. https://fapesp.br/files/upload/15191/program3011.pdf
Vortrag im Rahmen der EERA-Session: Open Science and Educational Research? Inclusion and Exclusion at the European Open Science Cloud; am 5. September 2018 in Bolzano (Italien).
European Commission
DG Research and Innovation
RTD.A2. Open Data Policy and Science Cloud
Katarzyna Szkuta
Presentation during the 14th Association of African Universities (AAU) Conference and African Open Science Platform (AOSP)/Research Data Alliance (RDA) Workshop in Accra, Ghana, 7-8 June 2017.
Open Science as-a-Service for research communities: OpenAIRE-Connect project ...OpenAIRE
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Presentation given to the first conference Pubmet, Zadar, Croatia, 2014
For the live presentation having all the rich media, please access: http://kosson.ro/webpedia/presentationsnicolaiec/Croatia2014/#/
UK Research Data Management: overview to ADBU congress, 19 Sep 2013 by Laura ...L Molloy
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Organisational Interoperability in Practice at Universidad Politécnica de MadridOscar Corcho
Presentation on EOSC Interoperability Framework in relation to Organisational Interoperability, and how it can be applied to a Research Performing Organisation such as UPM
Due to the increasing uptake of semantic technologies, ontologies are becoming part of a growing number of software development projects. As a result, ontology development teams have to combine their activities with software development practices. In this presentation some practices, tools and examples of new trends in ontological engineering are provided.
Topics covered at the workshop address basic questions related to Research Data Management for open data, which include preparing a Research Data Management (RDM) plan, licensing data and intellectual property, metadata and contextual description (documentation), ethical and legal aspects of sharing sensitive or confidential data, anonymizing research data for reuse, data archiving and long-term preservation, and data security and storage.
Event: http://conferences.nib.si/AS2015/default.htm
Related material: http://conferences.nib.si/AS2015/BookAS15.pdf
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Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
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Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
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MAREDATA. Red española sobre datos de investigación en abierto. Remedios Melero, en colaboración con Alexandre López-Borrull, Antonia Ferrer, et al.
1. MAREDATA. Red española sobre datos de investigación en abierto
Remedios Melero & Equipo Maredata
CRECS 20166ª Conferencia internacional
sobre revistas de ciencias sociales yHumanidades
Barcelona, 5-6 de mayo de 2016
2. MINECO. Plan Estatal de Investigación Científica y Técnica y de
Innovación 2013-2016
Redes de Excelencia 2015
AREA TEMÁTICA GESTIÓN: Ciencias Sociales
Título: Red española sobre datos de investigación en abierto
Acrónimo: MAREDATA
Referencia: CSO2015-71867-REDT
Duración: 2 años (2016-2017)
Financiación (costes directos): 30.000 €
IP: Ernest Abadal Falgueras (UB)
Siete grupos: CSIC-IATA, CSIC-INGENIO-UV, UA, UB, UC3M, UOC, UPV
WEB: maredata.net (en breve activa)
Algunos datos……
6. Panton Principles, Principles for open data in science. Murray-Rust, Peter; Neylon,
Cameron; Pollock, Rufus; Wilbanks, John; (19 Feb 2010). http://pantonprinciples.org/
6
Open data must be accessible,
useable, assessable and intelligible
( extracted from Science as an
Open Enterprise, 2012 )
FAIR Data Principles: Findable,
Accessible, Interoperable, and Re-usable
https://www.force11.org/group/fairgroup/fairprinciples
http://thehaguedeclaration.com
7. Research Data Pilot in H2020
A novelty in Horizon 2020 is the Open
Research Data Pilot which aims to improve
and maximise access to and re-use of
research data generated by projects. The
legal requirements for projects
participating in this pilot are contained in
the optional article 29.3 of the Model
Grant Agreement.
http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_p
ilot/h2020-hi-oa-data-mgt_en.pdf
7
10. Draft European Open Science
Agenda. 26 February 2016
Based on 5 policy actions:
• Foster Open Science
• Remove barriers to Open Science
• Develop research infrastructures for Open Science
• Mainstream Open Access to research results
• Embed Open Science in Society
https://ec.europa.eu/research/openscience/pdf/draft_european_open_science_agenda.pdf
10
11. This document is a living document reflecting the
present state of open science evolution. It is based on
the input of many participating experts and
stakeholders of the Amsterdam Conference ‘Open
Science – From Vision to Action’, hosted by the
Netherlands’ EU Presidency on 4 and 5 April 2016.
Formulated to reach two important pan-European goals for 2020:
1. Full open access for all scientific publications
2. A fundamentally new approach towards optimal reuse of research data
To reach these goals by 2020 we need flanking policy:
• New assessment, reward and evaluation systems
• Alignment of policies and exchange of best practices
http://english.eu2016.nl/documents/reports/2016/04/04/amsterdam-call-for-action-on-
open-science 11
12. Removing barriers to open science
1. Change assessment, evaluation and reward systems in science
2. Facilitate text and data mining of content
3. Improve insight into IPR and issues such as privacy
4. Create transparency on the costs and conditions of academic communication
Developing research infrastructures
5. Introduce FAIR and secure data principles
6. Set up common e-infrastructures
Fostering and creating incentives for open science
7. Adopt open access principles
8. Stimulate new publishing models for knowledge transfer
9. Stimulate evidence-based research on innovations in open science
Mainstreaming and further promoting open science policies
10. Develop, implement, monitor and refine open access plans
Stimulating and embedding open science in science and society
11. Involve researchers and new users in open science
12. Encourage stakeholders to share expertise and information on open science
Twelve actions grouped around the five cuttig themes that follow the
structure of the European Open Science Agenda proposed by the EC
12
13. http://edison-project.eu/
“Data Scientist is a complex profession”
..”data scientists range from pure e-Science driven by research communities, to applications
of Data Science Professionals in Public Institutions”
“future Data Scientists must posses knowledge (and obtain competencies and skills) in data
mining and analytics, information visualisation and communication, as well as in statistics,
engineering and computer science, and acquire experiences in the specific research or
industry domain of their future work and specialisation.
13
14. • Promover
• Aglutinar
• Colaborar
• Participar
• Crear cambio
• ……..
Una red para:
Open
Research
Data
…Data
Open
Data
15. Objetivos :
• Coordinar la actuación de los grupos integrantes de la red
• Contribuir a estructurar un marco de ciencia abierta en
España que cuente con los diferentes agentes interesados en
los datos de investigación.
• Promover sinergias transversales entre diferentes sectores
no sólo en el ámbito académico (industrial, el sector
infomediario y a la sociedad española en general).
16. Cronología de Actuaciones durante 2016:
Enero 2016. • Constitución de los grupos de la RED.
Maredata.
• Primer Seminario sobre Gestión de datos de Investigación
(http://bd.ub.edu/grups/ccd/seminari_maredata)
Mayo 2016. • Anuncio del Portal MAREDATA ( maredata.net, hay que esperar un
poquito).
• Presentación en CRECS. Segunda reunión coordinadores de la Red
• Llamada a grupos interesados en integrase en la Red.
Sept. 2016. • Segundo seminario durante el Workshop de Rebiun, Univ Jaume I.
• Presentación de grupos y contenidos del portal
Octubre 2016. Madrid. International Open Data Conference 2016 (Pre- Workshop
+ sesión)
17. Los inicios siempre cuestan,
pero el arranque, con decisión….
¡¡¡Gracias!!!
El equipo de Maredata