Research Data Management

Esta es una pagina de discusion del grupo de analisis de los temas de del CSIC

0 Introduccion al grupo

1 El informe "Funding Research Data infrastructure and services"

Resumen AUN en elaboración.

Puntos a considerar en la reunion:

1.1 Detección de puntos de especial interés para el CSIC.

2 Documentos de posicionamiento relacionados con esta tematica en otros paises

Puntos a considerar en la reunion:

2.1 feedback para documento UK?

2.2 acuerdos/desacuerdos con vision de Alemania?

2.3 tiene sentido pensar en un documento similar desde CSIC? o bien mas tecnico ? o bien mas general? o adoptar los puntos UK?

UK

A draft report by RCUK appeared (Monday 17 August): Concordat On Open Research Data http://www.rcuk.ac.uk/media/news/170814/

The OECD published back in 2007 already Principles and Guidelines for Access to Research Data from Public Funding, but these RCUK principles and recommendations are much more concrete.

Feedback is invited (before September 28).

It seems to be worthwhile to discuss these principles in a future SE working group meeting, because a great step forward could be made if these principles would be endorsed or adopted by SE and its member organisations. Probably the explanatory texts for each principle would need to be edited, as the current texts are oriented towards the UK national situation.

Principle #1 - Open access to research data is an enabler of high quality research, a facilitator of innovation and safeguards good research practice.

Principle #2 - Good data management is fundamental to all stages of the research process and should be established at the outset.

Principle #3 - Data must be curated so that they are accessible, discoverable and useable.

Principle #4 - Open access to research data carries a significant cost, which should be respected by all parties.

Principle #5 - There are sound reasons why the openness of research data may need to be restricted but any restrictions must be justified and justifiable.

Principle #6 - The right of the creators of research data to reasonable first use is recognised.

Principle #7 - Use of others’ data should always conform to legal, ethical and regulatory frameworks including appropriate acknowledgement.

Principle #8 - Data supporting publications should be accessible by the publication date and should be in a citeable form.

Principle #9 - Support for the development of appropriate data skills is recognised as a responsibility for all stakeholders.

Principle #10 - Regular reviews of progress towards open access to research data should be undertaken.

Alemania

The Working Group on Research Data in the Priority Initiative “Digital Information” of the Alliance of German Science Organisations has published its position paper "Research Data at Your Fingertips":

• http://www.allianzinitiative.de/fileadmin/user_upload/redakteur/2015_Positionspapier_AG_Forschungsdaten_en.pdf

Keep in mind that this is not an official Allianz position, but just that of the working group.

3 Reunión sobre Text and Data Mining del 27 octubre 2015

Puntos a considerar en la reunion:

3.1 Comentarios sobre el documento propuesto (ver mas abajo link)

3.2 Puntos adicionales en relación con los temas de Open Science, Open Data, Licencias de explotacion de datos, etc.

3.3 Expertos que asistiran el dia 27 a la reunion y posibles sugerencias a SE

TDM Text and Data Mining: info to be distributed

In May 2015 the European Commission (EC) published a communication entitled "A Digital Single Market Strategy for Europe"; it refers to the possibility to introduce an exception for Text and Data Mining (TDM) as part a likely reform of the EU copyright directive, as follows:

“Innovation in research for both non-commercial and commercial purposes, based on the use of text and data mining (e.g. copying of text and datasets in search of significant correlations or occurrences) may be hampered because of an unclear legal framework and divergent approaches at national level. The need for greater legal certainty to enable researchers and educational institutions to make wider use of copyright-protected material, including across borders, so that they can benefit from the potential of these technologies and from cross-border collaboration will be assessed, as with all parts of the copyright proposals in the light of its impact on all interested parties.”

In such context, and awaiting an EC proposal for the European copyright framework reform, Science Europe Working Group on Research Data organises a workshop on the importance of Text and Data (Content) Mining for science on 27 October 2015 in Brussels. The event will aim to demonstrate the relevance of content mining for science and its relevance as a commercial service and to illustrate that the Europe needs a clear legal framework accommodating for such uses.

You are kindly invited to save the date of this workshop and to disseminate this announcement through your channels. Further information will follow in the course of September.

The workshop will address senior representatives from Science Europe Member Organisations and Scientific Committees, research organisations in general and European institutions (European Commission, European Parliament).

The Briefing Paper ‘Text and Data Mining and the Need for a Science-friendly EU Copyright Reform’, by Science Europe Working Group on Research Data, will serve as background to the discussions (See: http://www.scienceeurope.org/urls/tdm).

4 Cuestionario sobre Agenda Digital

Puntos a considerar en la reunion:

4.1 Puntos de interes en este documento de cara a posicionarse en este area

4.2 Pensar si interesa, y como, distribuir este cuestionario (o mas bien pedir que lo contesten)

Cuestionario sobre Digital Science

Esta filtrado "oficialmente":

http://www.politico.eu/wp-content/uploads/2015/09/Platforms-consultation.pdf

Entre otros puntos de interes incluye:

3.4.1 Free flow of data (pagina 16)

y en la pagina 18 cuestion 43: On access and reuse of (non-personal) scientific data

5 Puntos técnicos para CSIC

Puntos a considerar en la reunion:

5.1 Que soluciones tenemos / o podemos tener para Identificación de datos y a que nivel (DOI versus PID)

5.2 Interes de participar en DataCite

5.3 Interes de contar con un Portal de deposito/acceso a datos y de reanalisis

Data Cite

http://datacite.org

Portal de datos basados en Invenio

http://opendata.cern.ch

6 Contextos

Contexto grupos de Science Europe

Papel relevante CSIC en apoyar vision de la importancia de datos

contexto EU

Calls WP 16-17 H2020

=== contexto ESFRIs ===

Portales, DOIs, etc

contexto ES

Rol del CSIC, rol de FECYT...