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Research Methods ResourcesResearch Data Management course |
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Research Data Management training course resources |
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This document describes the Research Data Management training course organised by the ILRI-ICRAF Research Methods Group. When referring to the document, correct citation should be: Peter Muraya, Cathy Garlick and Richard Coe. 2002. Research Data Management. World Agroforestry Centre, Nairobi, Kenya. 123 pp. ISBN 92 9059 1463 Below we have cut the document in pieces for easier reference and downloading and added the files needed for the exercises and additional support documentation.
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Teaching |
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You can also download each session in MS Word 2000 format. This way you can modify the contents to suit your own teaching needs. You are allowed to modify the contents as long as you acknowledge the original authors. Click on the link on the right to download 3 word files per session. Each word file starts with a letter S, L or E: S = Summary; L = Lecture Note and E = Exercise. |
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| Session2.zip | |||||
| Session3.zip | |||||
| Session4.zip | |||||
| Session5.zip | |||||
| Session6.zip | |||||
| Session7.zip | |||||
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This introduction for resource persons shows them the intended audience, teaching style and necessary preparation.
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Session 7, building a data management strategy, could be run independently of the other sessions. It will have more impact if also managers attend, not only technicians and researchers. |
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Session 1. Why worry about data management. |
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Session 1 - summary |
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Session 1 - Lecture note |
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Session 1 - Exercise |
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Files needed for practical exercises |
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Protocol for the 'Leucaena diversifolia Progeny Trial - cum - Seed Orchard' |
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MS Excel 2000 workbook with 3 worksheets |
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Support documentation |
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Richard Coe, Peter Muraya. 2000. The sock under the bed. Looking after research data. ICRAF, Nairobi. 6 pp. |
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Statistical Services Centre. 1998. Data management guidelines for experimental projects. Statistical Services Centre, The University of Reading. 19 pp. |
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Statistical Services Centre. 1998. Project Data Archiving – Lessons from a Case Study. Statistical Services Centre, The University of Reading. 7 pp. |
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Audit Trail in Research Data Management |
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Data Collection Form designed for use in collecting experiment or survey data. |
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Session 2. Designing a spreadsheet for research data. |
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Session 2 - summary |
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Session 2 - Lecture note |
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Session 2 - Exercise |
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Files needed for practical exercises |
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Protocol for the trial "The influence of improved fallows on soil phosphorus fractions - an on-farm trial" |
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Raw data sheet (jpg image) for the above mentioned trial. |
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Support documentation |
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Statistical Services Centre. 2001. Disciplined Use of Spreadsheet Packages for Data Entry. Statistical Services Centre, The University of Reading. 25 pp. |
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Support on some of the exercises in session 2. |
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Session 3. Spreadsheet data entry and checking |
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Session 3 - summary |
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Session 3 - Lecture note |
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Session 3 - Exercise |
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Files needed for practical exercises |
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Designed MS Excel spreadsheet for the trial "Influence of improved fallows on soil phosphorus fractions" |
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Complete sheet for the above mentioned trial |
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Raw data sheet (jpg image) for the above mentioned trial. |
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Support documentation |
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Support on some of the exercises in session 3. |
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Statistical Services Centre. 2001. Disciplined Use of Spreadsheet Packages for Data Entry. Statistical Services Centre, The University of Reading. 25 pp. |
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Session 4. Why go beyond the spreadsheet |
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Session 4 - summary |
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Session 4 - Lecture note |
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Session 4 - Exercise |
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Files needed for practical exercises |
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Data from the experiment "Mixed intercropping with Gliricidia sepium and relay cropping with Sesbania sesban" |
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Data from the experiment "Soil and water conservation using contour hedgerows of fodder grass and trees" |
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| Data from the experiment "The effect of mulch on crop performance" | |||||
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Session 5. Improving data querying efficiency |
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Session 5 - summary |
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Session 5 - Lecture note |
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Session 5 - Exercise |
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Files needed for practical exercises |
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See session 4. |
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Session 6. Data modeling: organizing data for easier querying |
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Session 6 - summary |
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Session 6 - Lecture note |
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Session 6 - Exercise |
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Files needed for practical exercises |
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Blank questionnaire for survey on timber businesses |
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Data file for the trial "Influence of improved fallows on soil phosphorus fractions" |
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Support documentation |
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Statistical Services Centre. 2000. The Role of a Database Package for Research Projects. Statistical Services Centre, The University of Reading. 27 pp. |
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Session 7. Building a data management strategy |
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Session 7 - summary |
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Session 7 - Lecture note |
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Session 7 - Exercise |
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Files needed for practical exercises |
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A complete dataset |
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Support documentation |
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International Centre for Research in Agroforestry. Research Discussion Paper 2:. Looking after our investments:. Improving Research Data Management (RDM) in ICRAF. by. Peter Muraya and Richard Coe. ICRAF, Nairobi. July 2001. This document is best read on-line. It is non-linear! Links are highlighted and can be clicked in the usual way. If you choose to print it you should still be able to find your way around it. |
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A Review on Current Scientific Journal Requirements for Access to Data: What does it mean for a Data Management Strategy? Peter Muraya, October 2002. |
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Issues in Data Ownership and Access. Ric Coe, June 2001. |
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The "Bromley Principles" Regarding Full and Open Access to "Global Change" Data. Source: Data Management for Global Change Research Policy Statements, U.S. Global Change Research Program, July 1991. |
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Statistical Services Centre. 2000. Good practice in data management. Case Study no 6. Statistical Services Centre, The University of Reading. 6 pp. |
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The Electronic Logbook: an advanced data management tool. |
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Click here to learn more about The Electronic Logbook, a data management tool designed to help you organise research data across projects and sites. |
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