Data Management and Data Literacy

Data Management Planning 1 Ivaylo Kostadinov, Ph.D. GFBio e.V.  [email protected]  @[email protected] DATA 2 Data fuels research https://upload.wikimedia.org/wikipedia/commons/0/06/DIKW_Pyramid.svg 22.10.25 HeFDI-iDiv Seasonal School 3 Research Funding in DE ? 22.10.25 HeFDI-iDiv Seasonal School 4 Research Funding in DE https://foerderatlas.dfg.de/ $ 161.000.000.000 22.10.25 HeFDI-iDiv Seasonal School 5 Time effort … for discovering and reusing multiple data sources ? 22.10.25 HeFDI-iDiv Seasonal School 6 Time effort 80% Mons, B. et al., doi:10.3233/ISU-1704824 … for discovering and reusing multiple data sources 22.10.25 HeFDI-iDiv Seasonal School 7 22.10.25 HeFDI-iDiv Seasonal School 8 1. Basics of Research Data Management Good Scientific Practice RDM Guidelines FAIR Data Principles Research Data 22.10.25 HeFDI-iDiv Seasonal School 9 •measurement data •documents •laboratory notebooks •photographs •samples •data files •video, audio, text, images •models •algorithms •contents of an application (input, output, logfiles for analysis software, simulation software, schemas) •methodologies and workflows •standard operating procedures and protocols •… Research Data is any information that has been collected, observed, generated or created in the undertaking of research. 22.10.25 HeFDI-iDiv Seasonal School 16 FAIR Data Principles FAIR Data Principles Wilkinson, et al., Scientific Data, 2016 http://doi.org/10.1038/sdata.2016.18 22.10.25 HeFDI-iDiv Seasonal School 18 •a standard •equal to open data •a quality, but a quantity •only for humans or only for machines •only for life sciences •equal to RDF, Linked Data, or Semantic Web What FAIR is NOT B. Mons et al., doi:10.3233/ISU-170824 20 •Good scientific practice •Career boost •article acceptance •data reuse & citation •proposal funding •compatibility with future infrastructures •Career opportunities as a data scientist, manager, steward, custodian, librarian, etc. •Keep your research legal (i.e. avoid biopiracy) Your incentives to be FAIR 23 Biopiracy Biopiracy happens when researchers or research organisations take biological resources without official sanction, largely from less affluent countries or marginalised people. http://theconversation.com/biopiracy-when-indigenous-knowledge-is-patented-for-profit-55589 Image: https://www.flickr.com/photos/ciat/3887465932 24 Nagoya Protocol The Nagoya Protocol on ABS was adopted on 29 October 2010 in Nagoya, Japan and entered into force on 12 October 2014 Its objective is the fair and equitable sharing of benefits arising from the utilization of genetic resources, thereby contributing to the conservation and sustainable use of biodiversity. https://www.cbd.int/abs/about/ 22.10.25 HeFDI-iDiv Seasonal School 25 Nagoya Hub https://www.nagoyaprotocol-hub.de/ 22.10.25 HeFDI-iDiv Seasonal School 26 22.10.25 HeFDI-iDiv Seasonal School 27 2. Day-to-day Handling of Research Data Data Life Cycle 22.10.25 HeFDI-iDiv Seasonal School 28 Data Life Cycle 22.10.25 HeFDI-iDiv Seasonal School 30 Data Life Cycle •Plan •Data Management Plan (DMP) •Collect & Assure •Documentation •File Naming Conventions •Version Control •Electronic Laboratory Notebook (ELN) •Describe & Submit •Terminology •Metadata •Preserve •Data storage •Archival •Discover, Integrate & Analyze •Common metadata •Data types •Publish •Licenses •Data Publication Common metadata Data types Licenses Data publication DMP Documentation Naming Conventions Versioning ELN Terminology Metadata Archival Data storage Plan Collect Assure Describe Submit Preserve Discover Integrate Analyze Publish Parts of a DMP –part 1 22.10.25 HeFDI-iDiv Seasonal School 37 The first part is the basic information about your project. üProject title üPrincipal investigator(s) üProject contact üFunding application (funding program) 1 2 3 4 5 6 Parts of a DMP –part 2 22.10.25 HeFDI-iDiv Seasonal School 38 The project focus is a really short abstract of your project that includes üObject of the project üWhat you want to find out üHow you want to find it out ü10-12 sentences üNo general information on the classification of the topic 1 2 3 4 5 6 Parts of a DMP –part 3 22.10.25 HeFDI-iDiv Seasonal School 39 The third part of a DMP are the relevant policies and guidelines üYou declare that you will follow them üFind them on the website of your funding agency and at your institution 1 2 3 4 5 6 Parts of a DMP –part 4 22.10.25 HeFDI-iDiv Seasonal School 40 General data management includes üInformation about data collection üData handling in general, e.g. use of IDs, documentation of processing steps üMetadata description and standards üData types and their formats 1 2 3 4 5 6 Parts of a DMP –part 4 22.10.25 HeFDI-iDiv Seasonal School 41 General data management continued üData volume and number of data set of each data type üTotal data volume üData exchange between partners üBackup and storage of the data during the project 1 2 3 4 5 6 Parts of a DMP –part 5 22.10.25 HeFDI-iDiv Seasonal School 42 Archiving, publication, and licensing üWhere will the data be archived? üHow the data will be published? üDo you need a persistent identifier? üUnder which license will the data be published? üIs there an exclusive use of the data needed? üWhat will you do with your sensitive data? 1 2 3 4 5 6 Parts of a DMP –part 6 22.10.25 HeFDI-iDiv Seasonal School 43 1 2 3 4 5 6 The last part of a DMP is about the costs üestimate the costs for publishing, backup, and archiving the data üask the curators of the archive or data specialists at your institution üthe information from the first five parts of the DMP are needed for the estimate of costs A little practice please 22.10.25 HeFDI-iDiv Seasonal School 44 •https://dmp.gfbio.dev •Testing and demonstration environment •Perfect for teaching •https://dmp.gfbio.org •Production environment THANK YOU!  nfdi4biodiv  [email protected] (collaboration)  www.nfdi4biodiversity.org Questions?  [email protected] (service help desk)  www.gfbio.org 45