Welcome to the CCAFS-CIAT Data Management Support Pack. This pack is designed to help you produce high quality, reusable and open data from your research activities. It consists of documents, templates and videos covering the different aspects of data management and ranging from the overarching concepts and strategies through to the day-to-day activities. For each of the videos in the pack we have included a transcript of the narrative. The Data Management Support Pack was created to support the implementation of the CCAFS Data Management strategy.
Structure of the pack
The pack is divided into nine areas:
In this section we look at writing research protocols for the research activities, which detail exactly how the research activity will be carried out. Producing a research protocol would be one of the first activities when you are planning your project. We provide a guide and a case study produced by the SSC as part of a series of guides funded by the Department for International Development of the United Kingdom. We have also included a couple of videos explaining what we mean by a “Research Protocol” and what such a document should contain.
1. Policy documents
In this section we include a set of guidance documents, which help us to fulfil the aim with respect to making data and the relevant supporting documentation from its research activities available to the world community.
2.DATA OWNERSHIP and Authorship
Data ownership is a controversial issue in many research projects and we had often encountered reluctance on the part of researchers to share their data – even with other team members. In this section we discuss these issues and give some example agreements including the CCAFS agreement that forms part of the Programme Participant Agreement.
Developing a data management plan will help you to produce high quality data and more robust results by considering and detailing the data management tasks needed throughout the research project, you can ensure you have the necessary resources in place in terms of time, people skills, equipment, and finances. In our years of experience we have had many requests for data management support for research projects only to find there were finances to cover just a day or two for all data management tasks. This document, together with terms of reference for a data manager and technician, can help you to consider the resources needed from the beginning of the project.
4. DATA & DOCUMENT STORAGE
A Data Document Storage Facility (DDS) is basically an area where project data and documents are stored and the rules that enable a team to use it effectively. This section includes videos introducing the concept and videos on DDS organisation and ownership. We also have a short video introducing Dropbox as an example of cloud storage for your DDS.
This section provides the needed documentation for survey fieldworks and training of field staff. This include detail manuals, questionnaire and codebook from the CCAFS Household Baseline Survey and an Example of Consent form.
6. managing data
In this section we include documents that describe the more hands-on technical data management tasks. They include storing numerical and non-numerical data, converting “raw” data into “primary” data, and data quality assurance.
Before data are archived they need to be adequately documented; such documentation is often called the “metadata”. In this section we include a video and document about metadata and also the CG Core Metadata for Researchers.
8. Archiving and sharing
Leading on from data ownership we next consider the principles of archiving and sharing data, including Open Access, which is now official CGIAR policy. This guide lists some of the advantages of sharing data and also considers issues such as anonymity and confidentiality. This section also include documents giving a brief introduction of several data portals currently being used by CCAFS.