Topic outline

  • Research Data Management

    Overview

    The collection and organization of data is an integral and critical part of a research process. Management of research data is a service area of increasing interest to researchers and data managers.  It covers the planning, creating, storing, organizing, accessing, sharing, describing, publishing and curating of data. Most public funded research have listed data as a key deliverable hence the need for skills on how to access, preserve and archive data.

    Marine information managers are increasingly seen as major contributors to RDM activities in general and in the design of research data services (RDS) in particular. They promote research by providing services for storage, discovery and access, liaise and partner with researchers and data centers to foster an interoperable infrastructure for the above services. Most information managers are looking for opportunities to develop their RDM related skills.

    This training recognizes the potential that librarians/ information managers can offer and hence the need to develop their skills in research data management process.

    Venue: KMFRI, Mombasa, Kenya

    Dates: 3 - 7 July 2017

    Event details and list of participants available on the IODE Calendar: https://www.iode.org/index.php?option=com_oe&task=viewEventRecord&eventID=2008

    • Course objectives and timetable

      This course on Research Data Management (RDM) will cover the planning, creating, storing, organizing, accessing, sharing, describing, publishing and curating of data. The course content has broad applicability in the field of research data management in general.

    • Data and Information Management in IIOE-2

      Louise Wicks

      IIOE-2 Implementation Strategy. The second International Indian Ocean Expedition (2015-2020) was officially launched on 4 December 2015. Under the sponsorship of the Intergovernmental Oceanographic Commission (IOC), the Scientific Committee for Oceanic Research (SCOR) and the Indian Ocean Global Oceans Observing System (IOGOOS) Regional Alliance, the international scientific community will be engaged in collaborative oceanographic and atmospheric research over the next five years, focused upon the Indian Ocean, extending between its coastal environments and out to the deep sea. This presentation will provide an overview of the planning for IIOE-2 that has been underway since 2011, culminating in the programs launch in 2015 and the release of the IIOE-2 Implementation Strategy. The current activities and arrangements with respect to data and information management under IIOE-2 will also be discussed. Presentation (PDF)

      IndOOS and other sources of IO data. IndOOS is the Indian Ocean's integrated observing system and a regional contribution to the Global Ocean Observing System (GOOS). It has been operational for over 10 years and consists of a number of basin-scale observing platforms (i.e. moorings, Argo floats, XBT lines etc.)  as well as boundary arrays which collectively help to provide a picture of the key physical and biological characteristics of the Ocean.  IndOOS data is utilised for a number of operational forecasting and climate research purposes and IIOE-2 seeks to enhance IndOOS. This presentation will provide an overview of IndOOS and include information on how IndOOS and other Indian Ocean data can be accessed. Presentation (PDF)

      • Introduction to IODE and data management

        Greg Reed

        International Oceanographic Data and Information Exchange (IODE). IODE is the programme of the Intergovernmental Oceanographic Commission (IOC) of UNESCO, which was established in 1961, to enhance marine research, exploitation and development, by facilitating the exchange of oceanographic data and information between participating Member States, and by meeting the needs of users for data and information products.

        IODE

      • Open Science Data

        Greg Reed

        Open science data is a type of open data focused on publishing observations and results of scientific activities available for anyone to analyze and reuse. The concept of open access to scientific data was institutionally established with the formation of the World Data Centre system (now the World Data System), in preparation for the International Geophysical Year of 1957-1958. (from Wikipedia).

        This session will discuss open data, data accessibility, ethics, copyright, licensing,open data policies.

      • Research data and publication lifecycles

        Linda Pikula

        This session will discuss new and developing methodologies as well as data mandates by scientific funding agencies, governments, etc.

        Research lifecycleImage credit: UCF Libraries

        Following this session you will be able to:

        • Understand the e-science mandate and life-cycle and their possible future role in this
        • Be acquainted with benchmarks in managing the scientific output of an organization and/or country
        • Understand  the roles of Data Managers and Information Managers in Research Data Management  and how they can become collaborators
        • Recognize the importance of good research data management practice
        •  Scholarly Communication Cycle and Research Data and Information File 2.8MB Powerpoint presentation Uploaded 3/07/17, 15:11
        •  Pikula File 351.9KB Word document
      • Research data organization and standards

        Greg Reed

        Standards are an important aspect of open data, as they ensure data is accessible and interoperable.

        • There are a wide range of standards that may be relevant to data projects, relating to issues like geospatial information and metadata
        • Data owners should, wherever possible, consider relevant international and national standards for organizing and storing their data

        This session provides an overview of best practices for organizing and storing research data.

        open data standards

        Image credit: opensource.com

      • Data management plans

        Daryl Superio & Greg Reed

        A data management plan or DMP is a formal document that outlines how you will handle your data both during your research, and after the project is completed. The goal of a data management plan is to consider the many aspects of data management, metadata generation, data preservation, and analysis before the project begins; this ensures that data are well-managed in the present, and prepared for preservation in the future (from Wikipedia). data management plan
      • Data publication and data citation

        Dr Fadzil Bin Mohd Akhir (with Pauline Simpson) Supplemented and presented by Linda Pikula NOAA for KMFRI July 5th, 2017

        This topic discusses why it is important to publish data and how to promote research datasets as legitimate, internationally-recognized citable contributions to the scientific record.  It includes a Class Exercise on preparing citations for datasets.

      • Access to research data

        Greg Reed

        Research data by scholarly projects through experiments, measurements, surveys or interviews can be provided to a data repository that provides long-term storage and access to data. These repositories can expose data and metadata via interfaces or provide a portal service that can harvest the metadata of research data from data providers to build value-added services.

        This session will review examples of global, regional and thematic data portals that provide access to research data.

        Illustration credit: Ainsley Seago
        Image credit: Ainsley Seago
      • Management of sensitive data

        Daryl Superio

        Sensitive data are data that can be used to identify an individual, species, object, or location that introduces a risk of discrimination, harm, or unwanted attention (Australian National Data Service).
      • Repositories for data management

        Daryl Superio

        Institutional Repository (IR) is an online archive that collect, preserve, and disseminate the intellectual output of an institution’s communities (faculty, students, staff, and alumni) and historical materials produced by the institution (Gibney, 2015).

        Data Repository (DR) is a place that holds data, makes data available to use, and organizes data in a logical . It is the appropriate, subject-specific location where researchers can submit their data (E-Science Thesaurus, 2016).

        This session will provide an overview of repositories for data management.

      • Data management resources

        Greg Reed

      • About the course

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