Finding the Law for Sharing Data in Academia
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The document discusses strategies for universities to navigate the legal complexities of research data management while promoting data sharing and scientific integrity. It outlines a framework emphasizing mutual trust between academia, industry, and society, as well as the importance of open data supported by the European Commission. The proposed approach includes providing legal research support, identifying potential barriers, and ensuring compliance with laws and guidelines in data sharing initiatives.
Finding the Law for Sharing Data in Academia
- 1. Finding the Law for Sharing Data in Academia ELPUB Conference 2015 Esther Hoorn & Marlon Domingus September 2
- 2. The challenge How can universities provide good advice about the legal aspects of research data management? At the same time, how can universities prevent that perceived legal risks become barriers to: • conducting research, • sharing research data, • valorisation of research data, • and control mechanisms for the purpose of scientific integrity? A Dutch expert group developed a creative approach based on some core ideas about regulation in the field of academic research.
- 3. The framework: the Ecosystem View Academia IndustrySociety data
- 4. Sharing data based on mutual trust Academia IndustrySociety Data Data Data Trust
- 5. Legal Dimensions: Finding the Law Academia IndustrySociety Hard Law: Privacy Law, Patent Law, … Hard Law: Contracts, Agreements, ... Soft Law: Code of Conduct, Guidelines, ... Responsible Research and Innovation Good Citizenship Corporate Social Responsibility
- 6. Dimensions in data openness The European Commission supports open data. Open data refers to the idea that certain data should be freely available for use and re-use. It is the engine for innovation, growth and transparent governance. The Netherlands Organization for Scientific Research (NWO) holds that research results paid for by public funds should be freely accessible worldwide. In principle, it should be possible to share the research data with others as well. In this way, valuable knowledge can be utilised by researchers, businesses and civil society organisations. From the point of view of Academia however, research data is made available to colleagues who want to replicate the study or elaborate on its findings. To be realistic: within many disciplines, sharing too much data too soon, could endanger an academic career.
- 7. The Approach: Legal Research Support We propose not so much a staff / responsibilities matrix, but rather suggest that within a university the following basic steps should be taken by experts: 1. identify barriers and pitfalls, for instance in a research project plan, 2. acquire accurate knowledge of the rules and requirements regarding to research data, 3. take proper legal advice and applying this legal knowledge correctly and timely, for instance by writing tailored paragraphs in a Consortium Agreement.
- 8. Starting point: researcher and research process Research planning Data collection Data processing Data analysis Publishing Archiving Time Metadata: data types, formats, provenance, … Snapshots of the data and description of hereof with relevant timeline Database queries used, and when carried out, used syntax / code / variables, … Used documents: signed informed consent forms, original questionnaire, … Lab journals, Code books: observations, relevant context, used code, … Documentation Budget and resources Contracts and Agreements on data use, storage, curation and preservation Project plan, study design or study protocol Data Management Plan: Data access, use, storage, curation and preservation Research Design Description: methods, protocols, standards, privacy Planning data The final version of the publication Communication with the editor (also in case of rejection), the reviews and your answers to the reviewers' questions Versions of the publication: submitted / reviewed / revised Publishing data Published files Research documentation files Research planning files Archiving data
- 9. Starting Point: Planning Phase Research planning Data collection Data processing Data analysis Publishing Archiving Time Budget and resources Contracts and Agreements on data use, storage, curation and preservation Project plan, study design or study protocol Data Management Plan: Data access, use, storage, curation and preservation Research Design Description: methods, protocols, standards, privacy Planning Template texts Discipline specific texts For every aspect hands on support for research staff
- 10. Wiki • Topics (IPR, Privacy by Design, Data Ownership, Contracts, ...) • The landscape of present rules and requirements regarding to research data
- 11. Legal Landscape Dutch Perspective • Data is not a bicycle
- 12. Further Information mr. Esther Hoorn legal advisor Legal Affairs University of Groningen +31 50 363 9155 e.hoorn@rug.nl drs. Marlon Domingus project manager Research Support Office Erasmus University Rotterdam +31 10 4088006 domingus@ubib.eur.nl
- 13. Legal Landscape Dutch Perspective • Data is not a bicycle