• Aucun résultat trouvé

The Rise of “Digital Biology”: We need not only open, FAIR but also sustainable data!

N/A
N/A
Protected

Academic year: 2021

Partager "The Rise of “Digital Biology”: We need not only open, FAIR but also sustainable data!"

Copied!
3
0
0

Texte intégral

(1)

HAL Id: halshs-02281795

https://halshs.archives-ouvertes.fr/halshs-02281795

Submitted on 13 Sep 2019

HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

The Rise of “Digital Biology”: We need not only open, FAIR but also sustainable data!

Philippe Grandcolas

To cite this version:

Philippe Grandcolas. The Rise of “Digital Biology”: We need not only open, FAIR but also sustain-

able data!. Biodiversity Next : Building a global infrastructure for biodiversity data. Together., Oct

2019, Leiden, Netherlands. pp.e37508, �10.3897/biss.3.37508�. �halshs-02281795�

(2)

Biodiversity Information Science and Standards 3: e37508 doi: 10.3897/biss.3.37508

Conference Abstract

The Rise of “Digital Biology”: We need not only open, FAIR but also sustainable data!

Philippe Grandcolas

‡ Institut de Systematique, Evolution, Biodiversite, Museum National d'Histoire Naturelle, CNRS, Sorbonne Universite, EPHE, UA, Paris, France

Corresponding author: Philippe Grandcolas (pg@mnhn.fr) Received: 19 Jun 2019 | Published: 26 Jun 2019

Citation: Grandcolas P (2019) The Rise of “Digital Biology”: We need not only open, FAIR but also sustainable data!

Biodiversity Information Science and Standards 3: e37508. https://doi.org/10.3897/biss.3.37508

Abstract

Biology has already experienced great divides that decreased its global coherence and its ability to answer important scientific and societal concerns. For example in the XXth century, the so-called “Life Sciences” developed remarkably in comparison to Natural History sciences. This way, the approaches on model organisms dominated or prevented other approaches from being carried out on more diverse organisms, which may have given a misleading feeling of generality for the results obtained. Another great divide is at risk of developing now with the rise of what could be called “Digital Biology,” separating from other “material-based” approaches in its tendency to consider digital data only. Some biologists adopt a somewhat essentialist view of species and DNA, considering that enough knowledge is now accumulated, and that species records can be kept and saved as digital data only (Grandcolas 2017). Examples of this include occurrence records without specimens or auxiliary documents, taxonomic descriptions based on photographs, DNA sequences without vouchers, and, lastly, DNA sequences without taxonomic names.

This tendency puts at risk the sustainability, growth, and coherence of biological knowledge that is organized in a system wherein all data and notions are connected via specimens, with names and sequences being a retrieval means (Troudet et al. 2018). This tendency also ignores the robust foundation of biology, the data of which are linked to collections, vouchers, and stocks. The foundation of physical specimens exists for data concerning any live beings, be they rare wild species or selected lines of model organisms. There are now many calls for open and FAIR science, with results, methods, tools, and data not only

© Grandcolas P. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

(3)

findable, accessible, and interoperable but also re-usable. More than FAIR and digitally re- usable, data need to be sustainable. It is needed that their meaning and significance can be re-analysed, re-interpreted by going back as far as possible to material vouchers. We urge then scientists to consider this question by providing all necessary material elements to make open and FAIR data sustainable as well.

Keywords

digital, biology, open science, FAIR data, sustainable

Presenting author

Philippe Grandcolas

Presented at

Biodiversity_Next 2019

References

• Grandcolas P (2017) Loosing the connection between the observation and the specimen: a by-product of the digital era or a trend inherited from general biology? Bionomina 12:

57‑62. https://doi.org/10.11646/bionomina.12.1.7

• Troudet J, Vignes-Lebbe R, Grandcolas P, Legendre F (2018) The increasing

disconnection of primary biodiversity data from specimens: How does it happen and how to handle It? Systematic Biology 67: 1110‑1119. https://doi.org/10.1093/sysbio/syy044

2 Grandcolas P

Références

Documents relatifs

Indeed, for smooth surfaces, the probability of colliding with the surface after desorption is too low for recapture to be signi fi cant, while for high degrees of roughness ( i.e.,

We generated and characterized site-directed HA mutants on the genetic backbone of H5N1 clade 2.3.4 virus pref- erentially binding to α-2,3 receptors in order to identify the

CD154 Costimulation Shifts the Local T-Cell Receptor Repertoire Not Only During Thymic Selection but Also During Peripheral T-Dependent Humoral Immune Responses...

Thus, while isolated and sorted stem cells should be used in studies such as cell fate determination, regener- ation potential, and stem cell recruitment, there is Bno shame^ in

We all want to be friendly with our neighbours, but we also need our privacy. Some neighbours may be too friendly to the point that they start to become nosy, and far too friendly

In this paper, we analyze to which extent citation data of publications are openly available, using the intersection of the Cross- ref metadata and unpaywall snapshot as

Due to the work of initiatives such as CODATA, Research Data Alliance (RDA), those who resulted in the FAIR principles and some others we can observe a trend towards

It is funded by the Russian Presidential Academy of National Economy and Public Ad- ministration (RANEPA, http://www.ranepa.ru/eng/). The project has two main aims: 1) to create