Dealing with Data: Research Data Management for Social, Behavioural and Humanities Researchers

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1 Dealing with Data: Research Data Management for Social, Behavioural and Humanities Researchers

2 Acknowledgement of Country We would like to acknowledge the traditional custodians of the land on which we are gathering today, pay our respects to Elders, past and present, and extend that respect to other Aboriginal and Torres Strait Islander peoples. Illustration ( Gari - The Sun ) created by Miara Watson

3 On today s agenda Principles and best practice: getting value from your data Katrina Henderson (Nathan) and Bonnie Dixon (Gold Coast) Copyright and research data Antony Ley eresearch Services Krusty - Paul Jardine

4 Principles and best practice: getting value from your data Why is research data important? The research data lifecycle National data guidelines and publishing data Sharing your data Research data planning at Griffith

5

6 /in/photostream/

7 Information Services

8 The research lifecycle 49/ x

9 Best practice guidelines data/assets/pdf_file/0009/528993/best_practice_guidelines.pdf

10

11 Guidelines and policies Managing data well is part of being a responsible researcher Australian Code for the Responsible Conduct of Research (2007)» Section 2 Griffith University Code for the responsible Conduct of Research» Section 6 Best Practice Guidelines for Researchers: Managing research data and primary materials

12 National Guidelines Australian Code for the Responsible Conduct of Research (NHMRC, 2007) Section 2: Management of Research Data & Primary Materials Each institution must have a policy on the retention of materials and research data. It is important that institutions acknowledge their continuing role in the management of research material and data.

13 Funding bodies Australian Research Council Discovery Grant requirements A Researchers and institutions have an obligation to care for and maintain research data in accordance with the Australian Code for the Responsible Conduct of Research (2007). The ARC considers data management planning an important part of the responsible conduct of research and strongly encourages the depositing of data arising from a Project in an appropriate publically accessible subject and/or institutional repository. Researchers are now required as part of the application process for National Competitive Grants Program funding to outline how they plan to manage research data arising from ARC-funded research. Outline plans for the management of data produced as a result of the proposed research, including but not limited to storage, access and re-use arrangements The Final Report must outline how data arising from the Project have been made publicly accessible where appropriate.

14 Publishers Nature An inherent principle of publication is that others should be able to replicate and build upon the authors' published claims. Therefore, a condition of publication in a Nature journal is that authors are required to make materials, data and associated protocols promptly available to readers without undue qualifications

15 Publishers Public Library of Science (PLOS) PLOS journals require authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception.

16 Information Services Data Journals

17 Collaboration and verification The emerging academic culture values collaborations, including the sharing and reuse of research data. This is becoming increasingly important for researchers to be involved in. Verification of research results is also becoming a significant issue in academic research fields and to do this, good access to data is required. The Retraction Watch blog often reports on the retraction of papers when data could not be verified.

18 Emerging evidence of citation advantage

19 Emerging evidence of citation advantage Data reuse of openly available data leads to increased citations The citation benefit intensified over time...»...with publications from 2004 and 2005 cited 30 per cent more often if their data was freely available.» Every 100 papers with open data prompted 150 "data reuse papers" within five years» Original authors tended to use their data for only two years, but others re-used it for up to six years. Piwowar HA, Vision TJ. (2013) Data reuse and the open data citation advantage. PeerJ 1:e175

20 What is a Data Management Plan? A Data Management Plan describes: 1.Data collection 2.Documentation and metadata 3.Ethics and Legal Compliance 4.Storage and Backup 5.Selection and Preservation 6.Data Sharing 7.Responsibilities and Resources Source: DMP Online (UK)

21 Information Services Data Management Plans

22 Planning and before you start What are your obligations to funders, the University, etc.? How will data contribute to the research impact of this project? How much will it cost to manage the data? Intellectual Property considerations How will you retain your data and for how long? What ethical considerations are relevant? asking for consent Set up documentation at this stage

23 During Data formats durable and long-lasting Data security and storage is it backed up, is the storage compliant with privacy, security and other considerations, is it being moved around securely, can you grant access when needed? Organising your data well-documented data is easier to use, find and manage

24 After data collection Using data repositories to share you data and promote your research Licensing your data for re-use Securely destroying data Exit planning and archiving data

25 Support for data management Book a consultation with your Discipline Librarian to discuss data management Attend the Managing your research data HDR workshop in the library Read the Best practice guidelines for researchers : Managing research data and primary materials

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