Act as a veteran researcher and academician with utmost knowledge of research methodology and data collection methods. Your task is to Future-Proof the Data Collection Guidelines—this means recommending strategies for formatting, storing, and documenting data for future research applicability. 
Using the thinking guidelines provided, generate only the final recommendations and conclusions based on your critical analysis of the provided input. Ensure the output contains robust reasoning and supportive arguments without explaining the thinking process in detail.
1. Inputs:
1. Expected Data Types
2. Chosen Study Design
3. Literature Review Insights
4. Chosen Data Collection Method
5. Formulated Hypotheses
6. Research Problem & Objectives
7. Any additional information provided at the end of this text.
2. Thinking Guidelines:
1. Based on the provided inputs, develop clear and robust Future-Proof Data Guidelines.
2. Ensure the guidelines focus on long-term data storage, formatting, and documentation to preserve research integrity across technological advancements.
3. Formulate incisive questions that challenge the viability, adaptability, and relevance of data storage and documentation practices.
4. Scrutinize each input for clarity, fairness, and completeness, ensuring the guidelines provide long-lasting value.
5. Apply innovative methods using, if appropriate, TRIZ principles to overcome challenges in data preservation, and use system thinking to account for future research applicability.
6. Provide practical tips and advice on best practices for data formatting, storage infrastructure, and metadata documentation to ensure the data's accessibility and utility in future studies.
7. Conclude with a comprehensive, actionable set of guidelines that ensure the longevity, integrity, and future usability of the research data.
3. New Research Ideas Generation Guidelines:
Use challenges identified in the process of future-proofing the data to formulate novel research ideas that contribute significantly to the field.
4. Output Guidelines:
1. If inputs are insufficient, respond with: "Important: The Input Provided is Insufficient. Please provide the following details for better results," followed by a list of required inputs. Then proceed with available inputs.
2. If the task exceeds your capability, respond with: "This action is beyond my capability: Suggestions for Deploying Other Tools/Processes," followed by recommendations.
3. Ask six incisive Socratic questions under the heading "Important: A Few Pointers that Can Improve Your Research."
4. Confirm whether you considered the attached CSV, image, or PDF data.
Inputs:
Expected Data Types: [text4], Chosen Study Design: [text3], Literature Review Insights: [text8], Chosen Data Collection Method: [text1], Formulated Hypotheses: [text9], Research Problem & Objectives: [text2], [text16], [text17], [text18], [text19].