Speaker presentation | Marie Puren & Charles Riondet
We have the pleasure to announce the presence of Marie Puren & Charles Riondet for the Winter School Session 03 Data Management Plan
Marie Puren and Charles Riondet, Ph.D., are junior researchers in Digital Humanities at the French Institute for Research in Computer Science and Automation (INRIA) in Paris, members of the Alpage laboratory (INRIA – Paris Diderot University). As collaborators to the PARTHENOS H2020 project, they focus their research on the development of standards for data management and research tools in Arts and Humanities, and they currently work on the creation of a Data Management Plan for this project.
Marie Puren also contributes to the IPERION H2020 project, especially by upgrading its Data Management Plan. After being a lecturer and a responsible for continuing education projects at the Ecole nationale des chartes, Marie Puren has been a visiting lecturer in Digital Humanities at the Paris Sciences et Lettres (PSL) Research University. Her main publications belong to fields including intellectual history of the XXth century, French studies and digital humanities. Marie Puren has been awarded a Ph.D. in History at the Ecole nationale des chartes – Sorbonne University. She holds Master’s degrees in History and Political Science from the Institut d’Etudes Politiques de Paris, and in Digital Humanities from the Ecole nationale des chartes.
Charles Riondet, History PhD and archivist, is also involved in H2020 EHRI (ehri-project.eu) project as a metadata and standards specialist, with a focus on archival metadata (EAD, EAC-CPF).
Research data management planning: a chance for Open Science. Methods and tutorials to create a Data Management Plan
With the growth of the Open Science movement in the past few years, researchers have been increasingly encouraged by their home institutions, their funders, and by the public, to share the data they produce. A new model of data sharing is emerging, and this issue is becoming more and more crucial for the scientific community and for national and international research policy. As shown by the OECD in 2007, public granting agencies hope that publicly funded research projects would give access to the data produced within their work, in order to provide new resources for economic development. And with the extension of the Open Research Data Pilot in Horizon 2020, H2020 beneficiaries have to make their research data “findable, accessible, interoperable and reusable (FAIR)”, and are therefore asked to provide a Data Management Plan (or DMP) to this end.
More than a constraint, this new model of openness brings direct benefits for researchers. Sharing their data allows the researchers to organise and retrieve them effectively, to ensure their security, to collaborate with fellow researchers within the same discipline or from other disciplines, to reduce costs by avoiding duplication of data collection, to make easier validation of results, to increase the impact and visibility of their research outputs.
In this session, participants will get an overview of research data management principles and learn how to comply with these guidelines. We will define the purpose and the characteristics of a Data Management Plan (or DMP) and propose a method to write a DMP, with examples taken from the academic world. We will also mention the possible hindrances that researchers may encounter. Participants will finally be invited to write a Data Management Plan with a web-based tool, DMPonline. Those who are currently involved in a relevant research project are encouraged to work on their own research data.
European Commission (Directorate-General for Research & Innovation), H2020 Programme Guidelines on FAIR Data Management in Horizon 2020, Version 3.0, 26 July 2016: http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf
OECD (Organisation for Economic Co-operation and Development), OECD Principles and Guidelines for Access to Research Data from Public Funding, OECD, 2007: http://www.oecd.org/science/sci-tech/38500813.pdf
Pienta Amy M., Alter George, Lyle Jared, The Enduring Value of Social Science Research: The Use and Reuse of Primary Research, ISCPR (Inter-university Consortium for Political and Social Research), Institute for Research, University of Michigan: https://deepblue.lib.umich.edu/bitstream/handle/2027.42/78307/pienta_alter_lyle_100331.pdf?sequence=1&isAllowed=y
Romary Laurent, Puren Marie, “Datasets of IPERION-CH”, Atelier interdisciplinaire «Matériaux du patrimoine et patrimoine matériel», Palaiseau, France, March 2016. <hal-01289058>