1. Research data management: an introduction Basic training course for information specialists Library – RDM Support Project

2. RDMS Introduction to research data2 Programme 1. Researchers 2. Research 3. Research data 4. Research data management

3. Researchers  Researchers (individual, group)  Post-docs  PhD students  Research Master's students RDMS Introduction to research data3

4. 4 questionstructureexecutionanalysispublication Research

5. RDMS Introduction to research data5 questionstructureexecutionanalysispublication Research

6. RDMS Introduction to research data6 questiondesignexecutionanalysispublication Research

7. RDMS Introduction to research data7 questiondesignexecutionanalysispublication Research

8. RDMS Introduction to research data8 questiondesignexecutionanalysispublication Research

9. RDMS Introduction to research data9 questiondesignexecutionanalysispublication Research

10. Research: possible objectives RDMS Introduction to research data10 Hypothesis Synoptic survey Describe phenomena Experimental Short term Long term Theoretical Model system Christine L. Borgman, "Research Data: Who will share what, with whom, when, and why?" China-North America Library Conference, Beijing, 2010, 4

11. Research: possible methods RDMS Introduction to research data11 Individual investigatorCollaborative teams Hand-collect samples Hand markup Local control of data Community repositories Machine markup Machine-collect samples Christine L. Borgman, "Research Data: Who will share what, with whom, when, and why?" China-North America Library Conference, Beijing, 2010, 5

12. Research data “In the specific arena of academic research, data is the output from any systematic investigation involving a process of observation, experiment or the testing of a hypothesis, which when assembled in context and interpreted expertly will produce new knowledge.” Graham Pryor, Managing research data (London 2012), 3 RDMS Introduction to research data12

13. RDMS Introduction to research data13 All researchers work with data, but how exactly they define it depends on their field of study.  qualitative, quantitative  print, digital, physical  existing, to be collected, to be created  observational  experimental  simulation  derived or compiled  reference or canonical  text  numbers  multimedia  models  software  field-specific  instrument-specific file formats types of data

14. Research data: origin  Observation  Experiment  Simulation  Data processing  Source research RDMS Introduction to research data14

15. Research data management “the organisation of data, from its entry to the research cycle through to the dissemination and archiving of valuable results. It aims to ensure reliable verification of results, and permits new and innovative research built on existing information.” Angus Whyte and Jonathan Tedds, Making the case for research data management (Edinburgh 2011), [1] Mary Auckland, Re-skilling for research (RLUK 2012) RDMS Introduction to research data15

16. RDMS Introduction to research data16 questiondesignexecutionanalysispublication research & data collecting interpreting sharing planning citation storing managing describing anonymising combining reuse

17. RDMS Introduction to research data17 Creating data Processing data Analysing data Preserving data Giving access to data Reusing data UK Data Service Research data lifecycle

18. RDMS Introduction to research data18 University of Bath, Research360 Institutional research lifecycle model

19. RDMS Introduction to research data19 Digital Curation Centre DCC Curation Lifecycle Model

20. RDMS Introduction to research data20 Data Curation Continuum Andrew Treloar, Australian National Data Service

21. RDMS Introduction to research data21 Information sources Borgman, Christine L., “Research Data: Who will share what, with whom, when, and why," China- North America Library Conference, 17 August 2010 http://works.bepress.com/borgman/238/ University of Bath, Research360 project http://blogs.bath.ac.uk/research360/about/ DCC Curation Lifecycle Model http://www.dcc.ac.uk/resources/curation-lifecycle-model Andrew Treloar, Data Curation Continuum http://andrew.treloar.net/research/diagrams/data_curation_continuum.pdf

22. RDMS Introduction to research data22 Publication information Presentation: Mariëtte van Selm | selm@uva.nlselm@uva.nl Image on title slide: Jørgen Stamp | http://www.digitalbevaring.dk/http://www.digitalbevaring.dk/ M. van Selm, RDM Support - basic training course for information specialists, course material for session 1. January 2014 This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International licenceCreative Commons Attribution-ShareAlike 4.0 International