The Benefits of Research Data Management
RDM and preservation of data are key parts of responsible research. Good practice in managing your data will ensure benefits ensue for you, your fellow researchers, your institution, and the wider public. These benefits include,
- Increased visibility of your research with a data citation
- Funding and regulatory body requirements are met.
- Research data remains accurate, authentic, reliable and complete.
- Duplication of effort is kept to a minimum.
- With documentation, research data keeps its integrity and research results may be replicated.
- Data security is enhanced, thus minimising the risk of data loss.
- Support Open Access to your results
RDM Requirements of HKU, Grant Funders & Journals
HKU. Understanding that RDM is valuable in ensuring research integrity, and fulfilling the University's mission for disseminating knowledge, HKU has taken a lead position with regards to RDM in Hong Kong. It is expected that other universities, funders and journals in Hong Kong will soon also require RDM.
- With the creation of the HKU Policy on the Management of Research Data & Records in 2015, HKU researchers became responsible for properly managing research data, before, during and after their research. This includes, "planning for the ongoing custodianship (at the University or using third-party services) of their data..." HKU is responsible for,
- providing access to services and facilities for the storage, backup, deposit and retention of research data and records that allow researchers to meet their requirements under this policy and those of the funders of their research;
- providing researchers with access to training, support and advice in research data and records management; and
- providing the necessary resources to those operational units charged with the provision of these services, facilities and training.
- The HKU Policy on Research Integrity approved by the Council in 2013 holds clause 2.4 on Proper Data Handling, which reads, " Research data must be collected in an ethical manner, and there should be clear record on the data collection process. Data should be kept in a secured and accessible form, preferably in more than one medium and at more than one location, and be documented and archived for a substantial period of time (at least 5 years, and preferably 10 years) to allow for verification and replication by other researchers."
Funders. More and more funders across the world are requiring Data Management Plans (DMP) as conditions of grant. Among other requirements, they ask that these DMPs show proper long term storage and sharing. These DMPs then ensure that research will be properly accomplished, replicable, and that the dataset produced could possibly be re-purposed and re-used by other funded researchers in the future. As written below, the HK Research Grants Council (RGC) has not yet made RDM a hard requirement. However, if HKU researchers as PIs or Co-Is on a research project funded by other funders that do require RDM and DMPs, they will then need to comply with those requirements.
- Sherpa/Juliet lists funders' policies on open access data archiving and open access publishing.
- The Hong Kong Research Grants Council (RGC) revised the General Research Fund (GRF) Explanatory Notes for 2016/17 applications. Paragraph 12 writes,
- the "PI should assess data archive potential and opportunities for data sharing. Due additional weight will be given to an application where the applicants are willing to make resea4rch data available to others."
- This policy further writes that acquisition and storage of data, " must be approved by the appropriate Ethics Committee (the Human Research Ethics Committee for Non-Clinical Faculties ( HRECNCF )*, the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster ( IRB ), or the Committee for the Use of Live Animals in Teaching and Research ( CULATR ))."
- Selected Overseas Funders
- European Commission now only has a pilot on Research Data? Not yet mandatory?
- Australian Research Council (ARC) in the ARC Funding Agreement for Discovery Projects for 2016 sets out data management requirements in Section 15, on page 17.
Journals. The number of scholarly journals requiring replicating datasets is increasing. Ensuring the availability of replicating datasets is good science, and protects against possible retraction and withdrawal of published articles.