Research Data Lifecycle: Role of Data Services
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This document summarizes a course for doctoral students on research data management and open data. It discusses: - The complexity and diversity of research methodologies and data types. - An open data project in Slovenia that aimed to establish national policies through stakeholder interviews and workshops. - The research and data lifecycles, highlighting key roles and responsibilities at different stages for researchers, institutions, libraries, and funders. - The role of data services in managing data through the lifecycle, from depositors to curation to access for users.
Research Data Lifecycle: Role of Data Services
- 1. Course for Doctoral Students RESEARCH DATA MANAGEMENT AND OPEN DATA 25th July 2015, Social Science Data Arhives, Faculty of Social Sciences, University of Ljubljana ECPR Summer School 2015
- 2. RESEARCH DATA LIFECYCLE: ROLE OF DATA SERVICES Sonja Bezjak, Social Science Data Archives
- 3. Content • About Social Science Data Archives (ADP) • Complexity and diversity • Open Data project in Slovenia • Research Lifecycle • Research Data Lifecycle • Roles and Responsibilities in Research Data Lifecycle
- 4. Social Science Data Archives, UL • 1997 • national data repository for social sciences • 600 social science surveys • depositors from all 4 (3 public) universities, private research centres, Statistical Office of Slovenia (8-10 research centres per year) • cca. 700 users yearly (90 % education, 10 % scientific/research purpose)
- 5. Single researcher "Island of Research" Prepared by Dr. Ernest Harburg, of the University of Michigan, along with Elaine Stallman, and drawn by William Brudon. Originally published in the journal American Scientist, 54:470, December 1966.
- 7. Diversity of Methodologies I Source: Tropenmuseum, part of the National Museum of World Cultures Source: Students working with an artificial patient (Faculty of Biomedical Engineering, CTU in Prague) Source: Stone hand axes, from Acheulean, by: Didier Descouens • Interview • Medical survey • Geographical location • …
- 8. Diversity of Methodologies II Source: John Paul Thomas' analysis of Vermeer painting "The Love Letter" grid overlay #2 showing module and primary axes, by: John Paul Thomas estate Source: Students arranged according to size. (After Blakeslee.), by: Project Gutenberg Source: The archive of the Thesaurus Linguae Latinae with some of the 10 million slips used in creating the dictionary, by N p holmes Source: EthnoMuse, by: Matija Marolt
- 9. Diversity of Methodologies III Source: Project SCREEN, Center for Climate Change, Universitat Rovira i Virgili, Spain. Source: The CERN datacenter with World Wide Web and Mail servers, by Hugovanmeijeren Source: Mars Science Laboratory parachutes, by: NASA Source: Forest Climate Observatory near Magdeburg, Germany; data retrieval, by André Künzelmann
- 10. Diversity of… • Types • Formats • Size • Sensitive data (Human, State secret) • Long term / Short term value • … One solution for all disciplines?
- 11. Open Data Project (2010-2013) • Goal: to prepare drafts of national policy and strategy, needed for establishing a system of open access to research data in Slovenia • Principle of Flexibility: ‚Specific national, social, economic and regulatory implications should be considered when organisations develop research data access arrangements, and when governments develop policies to promote data access and review the implementation of these Principles and Guidelines.‘ (OECD, 2007, 15)
- 12. Methodology/Approach: ‚bottom to top‘ 1)22 semi-structured interviews: • researchers, librarians, heads of research institutes • 10 research institutes, 6 faculties • 17 research disciplines: physics, biology, medicine, civil engineering, archeology, social work, economy, musicology, anthropology, languages… 2) 3 workshops: • Workshop 1: Problems and Solutions in the Field of Data Services in Slovenia • Workshop 2: Policy of Research Data Management in Slovenia • Workshop 3: Advanced Technology for Establishing Data Infrastructure in Slovenia 3) Individual working visits/consultations: • Information Commissioner • Intellectual Property Institute • Research Centre of the Slovenian Academy of Sciences and Arts • DARIAH, CLARIN representatives in Slovenia …
- 13. What we found out? • Regarding documentation, preservation and access to research data in Slovenia: Researchers have different habits and views Research institutes follow disunited, unwritten rules and practices • But mainly they face identical problems: lack of knowledge, time and finances for dealing with research data, extremely competitive scientific environment
- 14. What we found out? Major barriers in achieving open data: 1) big differences in the development of data infrastructure and services 2) dilemmas and fears emerging from questions related to law (intellectual property, personal data protection) 3) absence of culture of data sharing 4) absence of framework policy, which would help in research data management
- 15. One solution for all disciplines? To overcome the differences in development of infrastructure and services, expactations of researchers, capabilitites of funders and diversity of disciplines (formats, methods etc.): • Data management knowledge, data services and data infrastructure
- 16. •Research Lifecycle •Research Data Lifecycle
- 17. Research Lifecycle Theory Problem, hypothesis Research approach Designing how to measure the concepts Selection of research location Selection of research units Conducting data collection Preparing data Analysis Results / Conclusions Reporting
- 18. Research Data Lifecycle Research planning Funding Creating / Collecting Processing Selection / Evaluation Preservation / Deposition Analysis Access Re-use
- 19. Research planning planning Funding Creating / Collecting Processing Selection / Evaluation Preservation / Deposition Analysis Access Re-use • Start research planning • Check data collections • Locate existing data Contact disciplinary repository, attend workshops…
- 20. Research planning Funding Creating / Collecting Processing Selection / Evaluation Preservation / Deposition Analysis Access Re-use • Policies: institutional, state, EU, disciplinary Check Funder‘s requirements, consult with research office at your institution
- 21. Research planning Funding Creating / Collecting Processing Selection / Evaluation Preservation / Deposition Analysis Access Re-use • Design research • Develop / adjust RDMP • Develop consent form • Collect data • Capture metadata Get involved with repository, ask for assistance, when needed
- 22. Research planning Funding Creating / Collecting Processing Selection / Evaluation Preservation / Deposition Analysis Access Re-use • Enter data: digitize, transcribe, translate… • Check, validate, clean • Anonymize • Describe • Store Get involved with repository: guidelines on data files, anonymization
- 23. Research planning Funding Creating / Collecting Processing Selection / Evaluation Preservation / Deposition Analysis Access Re-use • Quality of data • Type of access • Interesting data • Rare data • Important data Get involved with trusted repository or journal
- 24. Research planning Funding Creating / Collecting Processing Selection / Evaluation Preservation / Deposition Analysis Access Re-use • Appropriate format • Suitable medium • Back-up and store • Assure metadata and documentation • Deposit Get in communication with repository: protocols, standards for depositing
- 25. Research planning Funding Creating / Collecting Processing Selection / Evaluation Preservation / Deposition Analysis Access Re-use • Interpretation • Producing research outputs • Publications Get in communication with repository, library. Editors: might help with interpretation
- 26. Research planning Funding Creating / Collecting Processing Selection / Evaluation Preservation / Deposition Analysis Access Re-use • Sharing data • Regulation access • Copy-right • Promotions Help repository in promotional activities: lectures, hands-on, report about your publications…
- 27. Research planning Funding Creating / Collecting Processing Selection / Evaluation Preservation / Deposition Analysis Access Re-use • Data citation • Avoid: creating, processing, selection, preservation
- 28. Roles and responsibilities in RDLC RESEARCHER: • Scientific principles: quality, transparency, data as public good • RDMP • Trainings • OA
- 29. Roles and responsibilities in RDLC RESEARCH INSTITUTION: • OA policies • trainings • infrastructure • common services and tools
- 30. Roles and responsibilities in RDLC LIBRARY: • information about data sources • information depositing data • Helps select data centre or data archive • Information about OA • Preparation of DMPs • Support with preparation of basic study metadata and documentation, author’s rights, and explains other deposition requirements
- 31. Roles and responsibilities in RDLC FUNDER: • national / disciplinary policies (RDM, OA) • funds to cover OA costs • OA obligations
- 32. Data services Data + metadata + accompanying material DATA DEPOSITORS: - Formats - Standards - Consent - Licenses - Bibliography - Cobiss - … ADP - Selection - Added value - Curation - Access - … DATA USERS: - Search - Use - Tools - Citation - …
- 33. Questions?