Save time, empower your teams and effectively upgrade your processes with access to this practical Open science data Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Open science data related project.
Download the Toolkit and in Three Steps you will be guided from idea to implementation results.
The Toolkit contains the following practical and powerful enablers with new and updated Open science data specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Open science data Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders.
Organized in a data driven improvement cycle RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain), check the…
- Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation
Then find your goals…
STEP 2: Set concrete goals, tasks, dates and numbers you can track
Featuring new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Open science data improvements can be made.
Examples; 10 of the standard requirements:
- How do you measure success?
- What potential environmental factors impact the Open science data effort?
- What are the record-keeping requirements of Open science data activities?
- What charts has the team used to display the components of variation in the process?
- What is your theory of human motivation, and how does your compensation plan fit with that view?
- Does the Open science data performance meet the customer’s requirements?
- Are different versions of process maps needed to account for the different types of inputs?
- Who controls key decisions that will be made?
- Is Open science data currently on schedule according to the plan?
- How will we know that a change is improvement?
Complete the self assessment, on your own or with a team in a workshop setting. Use the workbook together with the self assessment requirements spreadsheet:
- The workbook is the latest in-depth complete edition of the Open science data book in PDF containing requirements, which criteria correspond to the criteria in…
Your Open science data self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:
- The Self-Assessment Excel Dashboard; with the Open science data Self-Assessment and Scorecard you will develop a clear picture of which Open science data areas need attention, which requirements you should focus on and who will be responsible for them:
- Shows your organization instant insight in areas for improvement: Auto generates reports, radar chart for maturity assessment, insights per process and participant and bespoke, ready to use, RACI Matrix
- Gives you a professional Dashboard to guide and perform a thorough Open science data Self-Assessment
- Is secure: Ensures offline data protection of your Self-Assessment results
- Dynamically prioritized projects-ready RACI Matrix shows your organization exactly what to do next:
STEP 3: Implement, Track, follow up and revise strategy
The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage Open science data projects with the 62 implementation resources:
- 62 step-by-step Open science data Project Management Form Templates covering over 6000 Open science data project requirements and success criteria:
Examples; 10 of the check box criteria:
- Procurement Management Plan: Have activity relationships and interdependencies within tasks been adequately identified?
- WBS Dictionary: Are the bases and rates for allocating costs from each indirect pool consistently applied?
- Lessons Learned: What is your overall assessment of the outcome of this Open science data project?
- Source Selection Criteria: How do you consolidate reviews and analysis of evaluators?
- Stakeholder Management Plan: Has a structured approach been used to break work effort into manageable components (WBS)?
- Procurement Management Plan: Are updated Open science data project time & resource estimates reasonable based on the current Open science data project stage?
- Duration Estimating Worksheet: How can the Open science data project be displayed graphically to better visualize the activities?
- Quality Management Plan: Is staff trained on the software technologies that are being used on the Open science data project?
- Risk Audit: Have all involved been advised of any obligations they have to sponsors?
- Schedule Management Plan: Can additional resources be added to subsequent tasks to reduce the durations of those tasks?
Step-by-step and complete Open science data Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Open science data project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Open science data project Management Plan
- 2.2 Scope Management Plan
- 2.3 Requirements Management Plan
- 2.4 Requirements Documentation
- 2.5 Requirements Traceability Matrix
- 2.6 Open science data project Scope Statement
- 2.7 Assumption and Constraint Log
- 2.8 Work Breakdown Structure
- 2.9 WBS Dictionary
- 2.10 Schedule Management Plan
- 2.11 Activity List
- 2.12 Activity Attributes
- 2.13 Milestone List
- 2.14 Network Diagram
- 2.15 Activity Resource Requirements
- 2.16 Resource Breakdown Structure
- 2.17 Activity Duration Estimates
- 2.18 Duration Estimating Worksheet
- 2.19 Open science data project Schedule
- 2.20 Cost Management Plan
- 2.21 Activity Cost Estimates
- 2.22 Cost Estimating Worksheet
- 2.23 Cost Baseline
- 2.24 Quality Management Plan
- 2.25 Quality Metrics
- 2.26 Process Improvement Plan
- 2.27 Responsibility Assignment Matrix
- 2.28 Roles and Responsibilities
- 2.29 Human Resource Management Plan
- 2.30 Communications Management Plan
- 2.31 Risk Management Plan
- 2.32 Risk Register
- 2.33 Probability and Impact Assessment
- 2.34 Probability and Impact Matrix
- 2.35 Risk Data Sheet
- 2.36 Procurement Management Plan
- 2.37 Source Selection Criteria
- 2.38 Stakeholder Management Plan
- 2.39 Change Management Plan
3.0 Executing Process Group:
- 3.1 Team Member Status Report
- 3.2 Change Request
- 3.3 Change Log
- 3.4 Decision Log
- 3.5 Quality Audit
- 3.6 Team Directory
- 3.7 Team Operating Agreement
- 3.8 Team Performance Assessment
- 3.9 Team Member Performance Assessment
- 3.10 Issue Log
4.0 Monitoring and Controlling Process Group:
- 4.1 Open science data project Performance Report
- 4.2 Variance Analysis
- 4.3 Earned Value Status
- 4.4 Risk Audit
- 4.5 Contractor Status Report
- 4.6 Formal Acceptance
5.0 Closing Process Group:
- 5.1 Procurement Audit
- 5.2 Contract Close-Out
- 5.3 Open science data project or Phase Close-Out
- 5.4 Lessons Learned
With this Three Step process you will have all the tools you need for any Open science data project with this in-depth Open science data Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Open science data projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices
- Implement evidence-based best practice strategies aligned with overall goals
- Integrate recent advances in Open science data and put process design strategies into practice according to best practice guidelines
Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role; In EVERY company, organization and department.
Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, ‘What are we really trying to accomplish here? And is there a different way to look at it?’
This Toolkit empowers people to do just that – whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc… – they are the people who rule the future. They are the person who asks the right questions to make Open science data investments work better.
This Open science data All-Inclusive Toolkit enables You to be that person:
Includes lifetime updates
Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.