All Learning Resources

  • Demonstration of DMPOnline (Data Management Planning Tool)

    Slide presentation demonstration of DMPOnline is part of a workshop offered at Riga Technical University, Riga giving an introduction to research data management for research support staff.  The slide presentation is designed to help research support staff help researchers create, review, and share data management plans that meet institutional and funder requirements.  The slides can be downloaded by going to item 12:15 on the agenda.  More information can be found about the DMPonline tool at:  http://www.dcc.ac.uk/dmponline.

  • How to Customise DMPonline

    This downloadable slide presentation is part of a workshop offered at the Stratford Library and Learning Centre in 2016, and discusses what to consider when customising the Data Management Planning Tool (DMPTool) which is used to create, review, and share data management plans that meet institutional and funder requirements. See instructions for downloading the slides below.  The presentation covers:

    • The concept of guidance by theme
    • An overview of options and follow-along demo
    • Adding templates
    • Adding guidance
    • Customising funder templates

    This PowerPoint slide presentation can be downloaded from the provided web page by clicking on "How to customise DMPonline" (10:00) on the agenda. More information about the DMPonline tool can be found at:  http://www.dcc.ac.uk/dmponline. 

  • Demonstration of Customising DMPonline

    This slide presentation is part of a workshop offered at the Stratford Library and Learning Centre, and provides a practical lab exercise for using the administrative interface to customise the DMPonline tool.  More information about the DMPonline tool can be found at:  http://www.dcc.ac.uk/dmponline. 

  • Introduction to Research Data Management

    This slide presentation is part of a workshop presented at the Library of Birmingham, Birmingham U.K., and provides an introduction to the research data management landscape, data sharing, and data management planning.

    This PowerPoint slide presentation can be downloaded from the provided web page by clicking on "Introduction to Research Data Management" (10:10) on the agenda.

  • Analyzing DMPs to Inform Research Data Services

    Presentation about lessons learned from the DART project, which developed an analytic rubric to standardize the review of data management plans as a means to inform targeted expansion or development of research data services at academic libraries. 
     
     

  • Data Sharing and Management Snafu in Three Short Acts

    A data management horror story by Karen Hanson, Alisa Surkis, and Karen Yacobucci. This is what shouldn't happen when a researcher makes a data sharing request! Topics include storage, documentation, and file formats.

  • DCC Curation Webinar: Customising DMPonline

    Demonstration of DMPonline functionality, followed by a demonstration of how to customize DMPonline for your institution. ​DMPonline helps you to create, review, and share data management plans that meet institutional and funder requirements.

  • DMPonline: Recent Updates and New Functionality

    This presentation covers updates and enhancements to the DMPonline  DMPonline helps you to create, review, and share data management plans that meet institutional and funder requirements. Six areas are discussed:

    1. Usability improvements
    2. Lifecycle and review
    3. API for systems integration
    4. Institutional enhancements 
    5. Locale-aware support
    6. Maintenance
  • Organizing and Modeling Data

    This presentation is part of the World Geodetic System (WGS) Data Management Planning Course. It provides a brief overview of data management, databases, and data modeling. Presentation sections include:

    • Why manage data?
    • What is a database?
    • Information systems cycle and models
    • Database design in research
    • A database modeling exercise
    • Structured Query Language (SQL)
    • Tips and tricks/good practice

    Access this downloadable PowerPoint slide presentation called "Data Management for Library Ph.D." course at the 13.15 - 14.15 time slot on the agenda. 

  • Diversity Workbench (DWB) in 15 Steps

    Introduction and demonstration of the Diversity Workbench (DWB), ​a "virtual research environment for multiple scientific purposes with regard to management and analysis of life and environmental sciences data. ​The framework is appropriate to store different kinds of bio- and geodiversity data, taxonomies, terminologies, and facilitates the processing of ecological, molecular biological, observational, collection and taxonomic data" (DWB).

    For detailed information about DWB, go to ​https://diversityworkbench.net/Portal/Diversity_Workbench.

  • Providing and Using (Open) Biodiversity Data through the Infrastructure of the Global Diversity Information Facility (GBIF)

    Introduction to the Global Biodiversity Information Facility (GBIF), including lessons and achievements from the first ten years of using GBIF. This presentation was part of the Conference Connecting Data for Research held at VU University in Amsterdam. Topics include:

    • What is biodiversity?
    • Biodiversity data
    • History of GBIF
    • GBIF usage trends
    • Primary GBIF data
    • Using GBIF
    • Darwin Core
    • Integrated Publishing Toolkit (IPT)
  • OpenEarth: A Flood of Dutch Coastal Data in Your Browser

    OpenEarth is a free and open source initiative to deal with data, models, and tools in earth science and engineering projects, currently mainly marine and coastal. This presentation was part of the Conference Connecting Data for Research held at VU University in Amsterdam. Presentation topics include:

    • What is OpenEarth?
    • Community
    • Philosophy
    • Features
  • Open Access Publishing: A User Perspective

    Part of the Embracing Data Management, Bridging the Gap Between Theory and Practice workshop, held in Brussels, this talk provides an introduction to open access publishing. Topics include:

    • Benefits
    • Philosophy
    • Requirements
    • Preprints and postprints
    • Tips
  • Tools for Version Control of Research Data

    Research data tend to change over time (get expanded, corrected, cleaned, etc.). Version control is the management of changes to data or documents. This talk addresses why version control is a crucial component of research data management and introduces software tools that are available for this purpose. ​This workshop was part of the Conference Connecting Data for Research held at VU University in Amsterdam.

  • Modern Research Management Workshop

    Introduction to research data management (RDM). Topics include:

    • Data organization, storage, backup, security, and deposit 
    • Benefits of managing and sharing data
    • File formats
    • File naming
    • Data publishing
    • Data reuse
    • Open data
    • Sensitive data
    • Data management plans and the DMPonline tool
  • Data Management Tools

    An overview of research management tools:

    • Re3data to find repositories
    • FAIRsharing and RDA Data Standards Catalogue
    • DMPonline for writing data management plans
    • OpenAIRE for managing outputs and reporting results
  • How NOT to Share Your Data: Avoiding Data Horror Stories

    This presentation is designed to encourage best practice from researchers when sharing their data. It covers basic issues such as repositories, file formats, and cleaning spreadsheets. It was designed for researchers in the sciences who already have some basic awareness that data sharing has many benefits and is expected by many UK research funders. Topics include:

    • Where you should and should not share your data
    • What data should you include?
    • Choosing a file format
    • Spreadsheet use
    • How you should and should not describe your data
  • Dash: Making Data Sharing Easier

    Dash is a self-service tool for researchers to select, describe, identify, upload, update, and share their research data. 

    For more information about Dash go to ​https://www.cdlib.org/services/uc3/dash.html.

  • Research Data Lifecycle

    Data often have a longer lifespan than the research project that creates them. Researchers may continue to work on data after funding has ceased, follow-up projects may analyse or add to the data, and data may be re-used by other researchers.

    Adhering to a well-defined research data lifecycle results in organised, well documented, preserved and shared data that advance scientific inquiry and increase opportunities for learning and innovation.

  • Bringing Research Data into the Library: Expanding the Horizons of Institutional Repositories

    The focus of library-managed institutional repositories has so far been on document-like items (published articles, preprints, theses, reports, working papers, etc.) but there is growing demand to expand their use into new genres such as scientific research datasets (sensor readings, genomics data, neuroimages, etc.). This webcast explains how institutional repositories are including this type of collection, what librarians need to know in order to manage such collections, and a few case studies from the MIT Libraries. ​

     
  • Marine GIS Applications (using QGIS)

    This course provides an in-depth overview of the application of Geographic Information Systems (GIS) to the marine environment using QGIS. All resources can be accessed from the provided URL. 

    Topic 1:
    Aims and Objectives:

    • Provide an introduction to GIS for marine applications
    • Focus on some publicly available marine datasets
    • Show the potential applications of GIS for the marine environment

    Learning Outcomes:

    • Knowledge and understanding of GIS, spatial data, raster, and vector models
    • Core tasks involved in the GIS analysis process including data acquisition, management, manipulation and analysis, and presentation and output
    • Core functionality of QGIS Desktop and QGIS Browser
    • Creating and editing spatial data
    • Appreciation of coastal and marine GIS data applications

    Topic 2: Introduction to Marine GIS

    • A brief explanation of GIS
    • GIS components
    • GIS data models
    • Marine GIS applications
    • Spatial analysis

    Topic 3: Introduction to QGIS

    • Why QGIS?
    • Exercise: Introduction To QGIS

    Topic 4: View data in QGIS Desktop

    • QGIS provides several windows, convenient for the user
    • Exercise

    Topic 5: Map Projections and Coordinate Systems

    • Geographic Coordinate Systems
    • Coordinate Systems And Map Projections
    • Video: Map projections 
    • Exercise

    Topic 6: Create Base Map in QGIS

    • Define the Area of Interest (AOI)
    • Exercise

    Topic 7: Creating Data Collection from the World Ocean Database

    • Exercise: Obtaining Marine Data from the World Ocean Database

    Topic 8: Introduction to Ocean Data View

    • Video: Ocean Data View (ODV) by Reiner Schlitzer
    • Exercise: Creating Data Collection from the World Ocean Database
    • Exercise: Export Marine Data from the Ocean Data View

    Topic 9: Working with Spreadsheet Data

    • Exercise: Adding Spreadsheet Data

    Topic 10: Edit Data in QGIS

    • Exercise

    Topic 11: Edit Data: Area of Interest and Analysis Mask

    • Exercise

    Topic 12: Interpolating surfaces

    • Map Interpolation
    • Interpolating Surfaces: Summary 
    • Exercise: Interpolate to Raster

    Topic 13: Rendering Raster Data

    • Exercise

    Topic 14: Raster Calculator

    • Exercise: Using the Raster Calculation

    Topic 15: Working with NetCDF

    • Exercise

    Topic 16: Plotting Vector Arrows from U and V Component Grids

    • Marine Geospatial Ecology Tools (MGET)

    Topic 17: Downloading species observations from the Ocean Biogeographic Information System (OBIS)

    • Exercise: Downloading OBIS Data in CSV Format

    Topic 18: Creating KML files for Google Earth

    • Example KML document
    • Exercise

    Topic 19: Publication Quality Maps

    • Exercise: Create Publication Quality Maps
  • Quality Management System Essentials for IODE National Oceanographic Data Centres (NODC) and Associate Data Units (ADU)

    Course overview

    The International Oceanographic Data and Information Exchange (IODE) maintains a global network of National Oceanographic Data Centres (NODC) and Associate Data Units (ADU) responsible for the collection, quality control, archive and online publication of many millions of ocean observations. The concept of quality management has become increasingly significant for these centres to meet national and international competency standards for delivery of data products and services. The IODE Quality Management Framework encourages NODCs and ADUs to implement a quality management system which will lead to the accreditation.

    This workshop provides an introduction for NODCs and ADUs involved in the development, implementation, and management of a Quality Management System based on ISO 9001:2015.

    Aims and objectives

    • To introduce the IODE Quality Management Framework
    • To introduce the ISO 9000 series of standards
    • To provide a description of a Quality Management System
    • To describe the importance of quality management for oceanographic data
    • To describe the accreditation process for NODCs and ADU

    Note that the exercises are no longer accessible.

    Topics include:

    • Introduction to Quality Management Systems
    • QMS Implementation in Meteorological Services
    • Introduction to ISO standards
    • Understanding ISO 9001:2015
      • Overview
      • ISO 9001:2015 Clause 4. Context of the Organization
      • ISO 9001:2015 Clause 5. Leadership
      • ISO 9001:2015 Clause 6. Planning
      • ISO 9001:2015 Clause 7.Support
      • ISO 9001:2015 Clause 8. Operation
      • ISO 9001:2015 Clause 9. Performance Evaluation
      • ISO 19115:2015 Clause 10. Improvement
    • Developing a quality system manual
    • Experiences and lessons learned from implementing a QMS: SISMER
    • Implementing the Quality Management System
    • IODE Quality Management Framework and Accreditation
  • Administración de Datos Biogeográficos Marinos (Contribuyendo al Uso de OBIS) (2016)

    The course provides an introduction to the Ocean Biogeographic Information System (OBIS). It includes best practices in the management of marine biogeographic data, publication of data for free access (IPT), access to data, organization, analysis, and visualization. 

    Goals:

    • Expand the network of OBIS collaborators.
    • Improve the quality of marine biogeographic data.
    • Increase knowledge of international standards and best practices related to marine biogeographic data.
    • Increase the amount of freely accessible data published through OBIS and its OBIS nodes.
    • Increase the use of OBIS data for science, species conservation, and area-based management applications.

    There are four modules consisting of Spanish language slide presentations and videos:

    • MODULE 1 - General and concepts
    • Introduction to IOC, IODE, OTGA and OBIS and related to WORMS, Marine Regions, DarwinCore biodiversity data standard, and metadata.
    •  
    • MODULE 2 - Data Quality Control Procedures
    •  
    • MODULE 3 - Best practices in the management and policy of marine biogeographic data and access, organization, analysis and visualization of OBIS data
    •  
    • MODULE 4 - Publication of data for free access (Integrate Publishing Toolkit -IPT)
  • Marine Biogeographic Data Management (Contributing and Using Ocean Biogeographic Information System) (2015)

    The course provided an introduction to the Ocean Biogeographic Information System (OBIS). This includes best practices in marine biogeographic data management, data publication, data access, data analysis, and data visualization. Content consists of slide presentations and videos.

    Aims and Objectives

    • Expand the OBIS network of collaborators
    • Improve marine biogeographic data quality
    • Increase awareness of international standards and best practices related to marine biogeographic data
    • Increase the amount of open access data published through OBIS and its OBIS nodes
    • Increase the use of data from OBIS for science, species conservation, and area-based management applications

    Learning Outcomes

    • Knowledge and understanding of OBIS structure, mission, and objectives
    • Installation and management of IPT
    • Use of Darwin Core standards for species occurrence records, taxonomy, event/sample records and additional biological and environmental parameters.
    • Data quality control tools
    • Publishing data through IPT and contributing datasets to OBIS
    • Use of OBIS data access (SQL, web service, API/R). 
    • Data visualization tools (ArGIS online, CartoDB, QGIS, …) 

    Target Audience

    • Marine data managers
    • Staff of NODCs or ADUs/OBIS nodes working with marine biodiversity data
    • Principle Investigators of major marine biodiversity expeditions
    • National marine biodiversity focal points

    Sections 

    • Introductions to IOC, IODE, OTGA, and OBIS
    • Biodiversity Data Standards
    • Data Quality Control Procedures
    • Data Access and Visualisation
    • Social Aspects of Data Management
  • Plan, a chapter of the CESSDA Expert Tour Guide on Data Management

    This introductory chapter features a brief introduction to research data management and data management planning.

    Before we get you started on making your own Data Management Plan (DMP), we will guide you through the concepts which provide the basic knowledge for the rest of your travels. Research data, social science data and FAIR data are some of the concepts you will pass by.

    After completing your travels through this chapter you should be:

    Familiar with concepts such as (sensitive) personal data and FAIR principles;
    Aware of what data management and a data management plan (DMP) is and why it is important;
    Familiar with the content elements that make up a DMP;
    Able to answer the DMP questions which are listed at the end of this chapter and adapt your own DMP.

  • Organise & Document, a chapter of the CESSDA Expert Tour Guide on Data Management

    In this chapter, we provide you with tips and tricks on how to properly organise and document your data and metadata.

    We begin with discussing good practices in designing an appropriate data file structure, file naming and organising your data within suitable folder structures. You will find out how the way you organise your data facilitates orientation in the data file, contributes to understanding the information contained and helps to prevent errors and misinterpretations.

    In addition, we will focus on an appropriate documentation of your data. Development of rich metadata is required by FAIR data principles and any other current standards promoting data sharing.

    After completing your travels through this chapter on organising and documenting your data you should:

    Be aware of the elements which are important in setting up an appropriate structure and organisation of your data for intended research work and data sharing;
    Have an overview of best practices in file naming and organising your data files in a well-structured and unambiguous folder structure;
    Understand how comprehensive data documentation and metadata increases the chance your data are correctly understood and discovered;
    Be aware of common metadata standards and their value;
    Be able to answer the DMP questions which are listed at the end of this chapter and adapt your own DMP.

  • Research Data Management

    Marine information managers are increasingly seen as major contributors to research data management (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 and liaise and partner with researchers and data centers to foster an interoperable infrastructure for the above services.

    The series of units within this training course recognizes the potential contributions that librarians/information managers can offer and hence the need to develop their skills in the research data management process. Course materials consist of slide presentations and student activities. Topics include:

    • Data and information management in International Indian Ocean Expedition-2 (IIOE-2)
    • Open science data
    • Research data and publication lifecycles
    • Research data organization and standards
    • Data management plans
    • Data publication and data citation
    • Access to research data
    • Management of sensitive data
    • Repositories for data management
    • Data management resources
  • Process, a chapter of the CESSDA Expert Tour on Data Management

    In this chapter we focus on data operations needed to prepare your data files for analysis and data sharing. Throughout the different phases of your project, your data files will be edited numerous times. During this process it is crucial to maintain the authenticity of research information contained in the data and prevent it from loss or deterioration.

    However, we will start with the topics of data entry and coding as the first steps of your work with your data files. Finally, you will learn about the importance of a comprehensive approach to data quality.

    After completing your travels through this chapter you should:

    Be familiar with strategies to minimise errors during the processes of data entry and data coding;
    Understand why the choice of file format should be planned carefully;
    Be able to manage the integrity and authenticity of your data during the research process;
    Understand the importance of a systematic approach to data quality;
    Able to answer the DMP questions which are listed at the end of this chapter and adapt your own DMP.

  • Store, a chapter of the CESSDA Expert Tour on Data Management

    The data that you collect, organise, prepare, and analyse to answer your research questions, and the documentation describing it are the lifeblood of your research. Put bluntly: without data, there is no research. It is therefore essential that you take adequate measures to protect your data against accidental loss and against unauthorised manipulation.

    Particularly when collecting (sensitive) personal data it is necessary to ensure that these data can only be accessed by those authorized to do so. In this chapter, you will learn more about measures to help you address these threats.
    After completing your travels through this chapter you should:

    Be familiar with strategies to minimise errors during the processes of data entry and data coding;
    Understand why the choice of file format should be planned carefully;
    Be able to manage the integrity and authenticity of your data during the research process;
    Understand the importance of a systematic approach to data quality;
    Able to answer the DMP questions which are listed at the end of this chapter and adapt your own DMP.

  • Making Research Data Available

    There is a growing awareness of the importance of research data. Elsevier is committed to encouraging and supporting researchers who want to store, share, discover and reuse data. To this end, Elsevier has set up several initiatives that allow authors to make their data available when they publish with Elsevier. The webinars in the collection (located on the bottom half of the web page) cover:

    • Ways for researchers to store, share, discover, and use data
    • How to create a good research data management plan  
    • Data Citation: How can you as a researcher benefit from citing data? 
  • Protect, a chapter of the CESSDA Expert Tour on Data Management

    This part of the tour guide focuses on key legal and ethical considerations in creating shareable data.

    We begin with clarifying the different legal requirements of Member States, and the impact of the upcoming General Data Protection Regulation (GDPR) on research data management. Subsequently, we will show you how sharing personal data can often be accomplished by using a combination of obtaining informed consent, data anonymisation and regulating data access. Also, the supporting role of ethical review in managing your legal and ethical obligations is highlighted.

    After completing your trips around this chapter you should:

    Be aware of your legal and ethical obligations towards participants and be informed of the different legal requirements of Member States;
    Understand how well-protecting your data, protects you against violating laws and promises made to participants;
    Understand the impact of the upcoming General Data Protection Regulation (GDPR; European Union, 2016);
    Understand how a combination of informed consent, anonymisation and access controls allows you to create shareable personal data;
    Be able to define what elements should be integrated into a consent form;
    Be able to apply anonymisation techniques to your data;
    Be able to answer the DMP questions which are listed at the end of this chapter and adapt your own DMP.

  • Archive & Publish, a chapter of the CESSDA Expert Tour on Data Management

    High-quality data have the potential to be reused in many ways. Archiving and publishing your data properly will enable both your future self as well as future others to get the most out of your data.

    In this chapter, we venture into the landscape of research data archiving and publication. We will guide you in making an informed decision on where to archive and publish your data in such a way that others can properly access, understand, use and cite them.

    Understand the difference between data archiving and data publishing;
    Be aware of the benefits of data publishing;
    Be able to differentiate between different data publication services (data journal, self-archiving, a data repository);
    Be able to select a data repository which fits your research data's needs;
    Be aware of ways to promote your research data publication;
    Be able to answer the DMP questions which are listed at the end of this chapter and adapt your own DMP.

  • Hivebench Electronic Lab Notebook

    The time it takes to prepare, analyze and share experimental results can seem prohibitive, especially in the current, highly competitive world of biological research. However, not only is data sharing mandated by certain funding and governmental bodies, it also has distinct advantages for research quality and impact. Good laboratory practices recommend that all researchers use electronic lab notebooks (ELN) to save their results. This resource includes numerous short video demonstrations of Hivebench:

    • Start using Hivebench, the full demo
    • Creating a Hivebench account
    • Managing protocols & methods
    • Storing experimental findings in a notebook
    • Managing research data
    • Doing research on iPhone and iPad
    • Editing experiments
    • Collaborating with colleagues
    • Searching for results
    • Staying up to date with the newsfeed
    • Planning experiments with the calendar
    • Using open science protocols
    • Mendeley Data Export
    • Managing inventory of reagents
    • Signing and counter signing experiments
    • Archiving notebooks
    • How to keep data alive when researchers move on? Organizing data, methods, and protocols.
  • Metadata Recommendations, Dialects, Evaluation & Improvement

    This webinar describes a flexible, multifaceted approach to evaluating and improving metadata collections (in multiple dialects).

    The initial goal of many metadata efforts was discoverable data but, like many other elements of data management, the metadata landscape has evolved considerably over the last decade to include new use cases and requirements. The approach that has been developed includes web-based tools for understanding and comparing recommendations and dialects, flexible comparisons of completeness of metadata collections (in multiple dialects) with respect to particular recommendations, evaluation of completeness of single metadata records, identification of specific metadata improvement needs and an open forum for sharing information, experiences, and examples. Recommendations for metadata requirements and metadata improvement needs are discussed and shared.
     

  • FAIR Data in Trustworthy Data Repositories

    Everybody wants to play FAIR, but how do we put the principles into practice?

    There is a growing demand for quality criteria for research datasets. The presenters argue that the DSA (Data Seal of Approval for data repositories) and FAIR principles get as close as possible to giving quality criteria for research data. They do not do this by trying to make value judgments about the content of datasets, but rather by qualifying the fitness for data reuse in an impartial and measurable way. By bringing the ideas of the DSA and FAIR together, we will be able to offer an operationalization that can be implemented in any certified Trustworthy Digital Repository. In 2014 the FAIR Guiding Principles (Findable, Accessible, Interoperable and Reusable) were formulated. The well-chosen FAIR acronym is highly attractive: it is one of these ideas that almost automatically get stuck in your mind once you have heard it. In a relatively short term, the FAIR data principles have been adopted by many stakeholder groups, including research funders. The FAIR principles are remarkably similar to the underlying principles of DSA (2005): the data can be found on the Internet, are accessible (clear rights and licenses), in a usable format, reliable and are identified in a unique and persistent way so that they can be referred to. Essentially, the DSA presents quality criteria for digital repositories, whereas the FAIR principles target individual datasets. In this
    webinar the two sets of principles will be discussed and compared and a tangible operationalization will be presented.

  • ORCID Communications Toolkit: Interactive Outreach Presentation

    This presentation includes information about ORCID (Open Researcher and Contributor ID), short quizzes, and workshop activities. Select content for your presentation according to how long you have, what is suitable for your audience’s level of knowledge, and if you want to include practical tasks. After downloading, the slides can be edited to include your institution's name and presentation details.

  • How to Import Works into Your ORCID Record Using a Search & Link Wizard

    Several ORCID (Open Researcher and Contributor ID) member organizations have built search and link tools that allow you to import information about publications and other works into your ORCID record from other databases. The linking process can begin on the ORCID site, or at the organization's website. Note that ORCID does not store preprints or content. Rather we require that works data added to your record include a link that allows users to easily navigate to the source document. 

     

  • ORCID Registry: How to Group Works on Your ORCID Record

    Learn how and why to group works that have been added to your ORCID (Open Researcher and Contributor ID) record from different sources, so that they are displayed together on your record.

  • Getting Started with ORCID & ORCID API

    This presentation introduces ORCID (Open Researcher and Contributor ID), ORCID features, and ORCID's approach to API development.

  • Data Management Support for Researchers

    Tips and advice from a variety of researchers, data managers, and service providers, to help with data management. Titles include:

    • Sharing data: good for science, good for you
    • What support needs to be provided to assist researchers with data management?
    • How can choices about data capture open up, or limit, opportunities for researchers?
    • What should researchers do to help their data survive?
    • Why should researchers share their data?
    • How can repositories and data centres help researchers?