"Tijdens de H2020 bijeenkomst (28-9-2015) te Den Haag met betrekking tot kosten research datamanagement (RDM), hebben Alisa Westerhof (UU), Annemiek van der Kuil (3TU) en Annemie Mordant (UM) zich aangemeld om zich te buigen over een goede definitie (gemeenschappelijke taal) voor Research Data Management. Later heeft zich Tessa Pronk (UU) hierbij aangesloten."
Klik op de afbeelding of hier:
"Data Management bij wetenschappelijk onderzoek méér dan alleen storage".
De inleiding op de tabel is er ook in het Engels:
"During the H2020 meeting on financial aspects of Research Data Management (RDM) which took place on 28-9-2015 in the Hague, Netherlands, Alisa Westerhof (UU), Annemiek van der Kuil (3TU) and Annemie Mordant (UM) volunteered to brainstorm on a good definition (in common language) for Research Data Management. At a later stage, the Working Group was broadened with Tessa Pronk (UU)."
Working Group Members:
Alisa Westerhof (UU), Tessa Pronk (UU), Annemiek van der Kuil (3TU & TUD), Annemie Mordant (UM).
During the H2020 meeting on financial aspects of Research Data Management (RDM) which took place on 28-9-2015 in the Hague, Netherlands, Alisa Westerhof (UU), Annemiek van der Kuil (3TU) and Annemie Mordant (UM) volunteered to brainstorm on a good definition (in common language) for Research Data Management. At a later stage, the Working Group was broadened with Tessa Pronk (UU).
To create a practical and usable overview of possible Costs per Activity within each phase of the Research Process. The format has to be useful not only for Researchers, Data Specialists, but also for Funding Applicants and Funding Bodies. An early start for certain activities within the Data Life Cycle (like for instance metadata specification) will lower the costs for Data Management in the run of the Life Cycle. A good Data Management Plan before gathering the Research Data also helps to prevent extra efforts and costs later on in the Research Cycle.
We first focused on a good definition of Research Data Management and allowed ourselves to choose more variations. This provides a better coverage of the full perspective of Research Data Management and connecting costs during the full Research Data Life Cycle.
The costs are visualised in a Table. The
UK Data Service Data Management costing tool was used as a starting point. This tool was split up in the six categories connected to Data Management throughout the full Research Process. These categories were also used in Data Management Templates and in Checklists of the various Funders and Universities. In addition to this, we added a column for Costs.
Estimates to quantify the sums in this colums only serve as an indication of approximate height. Costs for Data Management are for example influenced by specific guidelines in the domain in which the research is carried out. For each project the costs will need to be estimated over again. The document is not complete and is meant as an organic document. Additions and improvements are very welcome.
Recommendations of the Working Group:
Definitions of Data Management:The broadness of the term Data Management depends on the definition. Many definitions are available, and they all have their own relevance in their own context. To list some possible definitions:
Data management comprises all the disciplines related to managing data as a valuable resource
The activities of data policies, data planning, data element standardization, information management control, data synchronization, data sharing, and database development, including practices and projects that acquire, control, protect, deliver and enhance the value of data and information."
-Casrai Data Dictionary, http://dictionary.casrai.org/Data_management
process by which the
data is acquired, validated, stored, protected, and processed, and by which its
reliability, and timeliness is ensured to satisfy the
needs of the data
whole process of
Information management and
Knowledge extraction and all the activities carried out on these data during and after the research projects.
All efforts focus on the final project result: all research results and underlying/supporting data are reusable and verifyable. Furthermore data should be replicable from source to raw data.
Conclusion: Research Data Management is more than only the storage of Research Data. Data Management is a rather new explicit element of a Research Proposal and of the Research Costs. This leads to the situation that Researchers dont budget the Costs of Data Management at all, or include this in a very late stage. Most chosen tendency is in that case to only include the Costs for Data Storage in the Research Budget.
To help Researchers in calculating their Research Data Management Costs, the following Guide has been drafted:
Guide Research Data Management and Costs.