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| Autor: | Mark D. Wilkinson, Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, Jan-Willem Boiten, Luiz Bonino da Silva Santos, Philip E. Bourne, Jildau Bouwman, Anthony J. Brookes, Tim Clark, Mercè Crosas, Ingrid Dillo, Olivier Dumon, Scott Edmunds, Chris T. Evelo, Richard Finkers, Alejandra Gonzalez-Beltran, Alasdair J.G. Gray, Paul Groth, Carole Goble, Jeffrey S. Grethe, Jaap Heringa, Peter A.C ’t Hoen, Rob Hooft, Tobias Kuhn, Ruben Kok, Joost Kok, Scott J. Lusher, Maryann E. Martone, Albert Mons, Abel L. Packer, Bengt Persson, Philippe Rocca-Serra, Marco Roos, Rene van Schaik, Susanna-Assunta Sansone, Erik Schultes, Thierry Sengstag, Ted Slater, George Strawn, Morris A. Swertz, Mark Thompson, Johan van der Lei, Erik van Mulligen, Jan Velterop, Andra Waagmeester, Peter Wittenburg, Katherine Wolstencroft, Jun Zhao, Barend Mons |
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| Přispěvatelé: | Bioinformatics, Integrative Bioinformatics, AIMMS, Business Web and Media, Network Institute, Intelligent Information Systems, Data Archiving and Networked Services (DANS), Bioinformatica, RS: FHML MaCSBio, RS: NUTRIM - R4 - Gene-environment interaction, Promovendi NTM, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Medical Informatics |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Medicin och hälsovetenskap Biomedical Innovation Medical and Health Sciences 0302 clinical medicine Life Data Curation media_common Informática PBR Kwantitatieve aspecten PROTEIN DATA-BANK Data Collection Environmental resource management Findability Computer Science Applications Geography Research Design Statistics Probability and Uncertainty Healthy Living Information Systems Statistics and Probability Computer and Information Sciences media_common.quotation_subject BIOLOGY Sample (statistics) Guidelines as Topic Library and Information Sciences Education PBR Quantitative aspects of Plant Breeding 03 medical and health sciences SDG 17 - Partnerships for the Goals Excellence Life Science Biology business.industry International standard Reproducibility of Results Data- och informationsvetenskap Coring Addendum Metadata 030104 developmental biology MSB - Microbiology and Systems Biology 13. Climate action Geospatial metadata Database Management Systems Stewardship ELSS - Earth Life and Social Sciences business 030217 neurology & neurosurgery |
| Zdroj: | Scientific Data, 3:160018. Nature Publishing Group Scientific Data, 3 Wilkinson, M D, Dumontier, M, Aalbersberg, IJ J, Appleton, G, Axton, M, Baak, A, Blomberg, N, Boiten, J W, da Silva Santos, L B, Bourne, P E, Bouwman, J, Brookes, A J, Clark, T, Crosas, M, Dillo, I, Dumon, O, Edmunds, S, Evelo, C T, Finkers, R, Gonzalez-Beltran, A, Gray, A J G, Groth, P, Goble, C, Grethe, J S, Heringa, J, 't Hoen, P A C, Hooft, R, Kuhn, T, Kok, R, Kok, J, Lusher, S J, Martone, M E, Mons, A, Packer, A L, Persson, B, Rocca-Serra, P, Roos, M, van Schaik, R, Sansone, S A, Schultes, E, Sengstag, T, Slater, T, Strawn, G, Swertz, M A, Thompson, M, Van Der Lei, J, Van Mulligen, E, Velterop, J, Waagmeester, A, Wittenburg, P, Wolstencroft, K, Zhao, J & Mons, B 2016, ' The FAIR Guiding Principles for scientific data management and stewardship ', Scientific Data, vol. 3, 160018 . https://doi.org/10.1038/sdata.2016.18 Sci Data Scientific Data, 2016(3), 160018 Scientific Data, ISSN 2052-4463, 2016, Vol. 3 Archivo Digital UPM Universidad Politécnica de Madrid Wilkinson, M D, Dumontier, M, Aalbersberg, IJ J, Appleton, G, Axton, M, Baak, A, Blomberg, N, Boiten, J-W, da Silva Santos, L B, Bourne, P E, Bouwman, J, Brookes, A J, Clark, T, Crosas, M, Dillo, I, Dumon, O, Edmunds, S, Evelo, C T, Finkers, R, Gonzalez-Beltran, A, Gray, A J G, Groth, P T, Goble, C, Grethe, J S, Heringa, J, ’t Hoen, P A C, Hooft, R, Kuhn, T, Kok, R, Kok, J, Lusher, S J, Martone, M E, Mons, A, Packer, A L, Persson, B, Rocca-Serra, P, Roos, M, van Schaik, R, Sansone, S-A, Schultes, E, Sengstag, T, Slater, T, Strawn, G, Swertz, M A, Thompson, M, van der Lei, J, van Mulligen, E, Velterop, J, Waagmeester, A, Wittenburg, P, Wolstencroft, K, Zhao, J & Mons, B 2016, ' The FAIR Guiding Principles for scientific data management and stewardship ', Scientific Data, vol. 3, 160018 . https://doi.org/10.1038/sdata.2016.18 Nature, 3. Nature Publishing Group Scientific Data Scientific data, 3:160018. Nature Publishing Group Scientific data, vol 3, iss 1 Scientific Data 3 (2016) Scientific data, 3:Unsp 160018. Nature Publishing Group |
| ISSN: | 2052-4463 0028-0836 |
| Popis: | Managing paleoscience data is highly challenging to the multiplicity of actors in play, types of sampling, analysis, post-analysis treatments, statistics etc. However, a well-structured curating of data would permit innovative developments based on data and/or sample re-use, such as meta-analysis or the development of new proxies on previously studied cores. In this paper, we will present two recent initiatives that allowed us tackling this objective at a French national level: the “National Cyber Core Repository” (NCCR) and the “LTER-France retro-observatory” (ROZA).NCCR was developed under the umbrella of the French National Center fo Coring and Drilling (C2FN) thanks to the national excellence equipment project CLIMCOR. It aims at gathering on a unique website the locations and metadata of any scientific coring/drilling performed by French teams or using French facilities, whatever the type of archive it is (lake/marine sediment; ice etc.). It uses international standard, notably IGSN (for samples), ORCID (for persons) and DOI (for campaigns). NCC follows the INSPIRE ISO 19115 standard in order to catalogue the data. For continental sediment, NCCR may be fed directly on the field through a specifically developed mobile application.Based on NCCR, further initiatives may be led. In particular, under the umbrella of LTER-France (Long Term Ecological Research), we developed ROZA in order to facilitate the re-use of data and samples. Here the idea is to capitalise the knowledge on a given lake from which several sediment cores can be taken through time. In that aim we selected at least one lake from each of the 13 areas composing the network LTER-France. To enter the database, a set of mandatory data must be provided under a pre-determined format. In that case, the insertion of ROZA within the network LTER will favor to use of paleodata by non-paleodata scientists, in particular ecologists. |
| Databáze: | OpenAIRE |
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