Study Inception

Purpose
Description of view

This document describes all the elements that might be used to record information on the beginning phases of a research study, such as an analysis plan, sampling method, weighting strategies, funding information, and infrastructure requirements, which can be combined into a Data Management Plan. 

View statusPROPOSED
Proposed by

Moving Forward Project

This list is a formal description of a functional view for DDI4.  Functional views are a list of elements and restrictions on their properties and relationships.  Functional views can be used to create XML schemas and/or RDF vocabularies.

 This includes (in general terms) the following stage in the GSBPM:

  • Step 1: Specify Needs/Evaluate

See GLBPM work by Jon and Barry: https://docs.google.com/spreadsheet/ccc?key=0AmjuyyBzwvcodE9Qam5HbFhJRTV6U19rbnY5WUVZZEE&usp=drive_web#gid=1

 

This small group developed some XML for their content, created an XSLT spreadsheet, and then showed the output of what they are calling Study Inception (given below) 

Study Inception View

 

This document describes all the elements that might be used to record information on the beginning phases of a research study, such as an analysis plan, sampling method, weighting strategies, funding information, and infrastructure requirements, which can be combined into a Data Management Plan.  This list is a formal description of a functional view for DDI4.  Functional views are a list of elements and restrictions on their properties and relationships.  Functional views can be used to create XML schemas and/or RDF vocabularies.

 

ResearchQuestion

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

AnnotatedBibliography

 

Properties

 

  1. Topic (0 - Unbounded)

 

Relationships

 


 

Citation

 

Points to research or theory.

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

Annotation

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

Concept

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

Universe

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

DataCitation

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

AccessConsiderations

 

We need to look at existing stuff in 3.2.

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

DataEvaluation

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

PossibleOutput

 

This would include data sets, publications, and visualizations

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

DataSet

 

Might be tabulated data - this is what you might produce.

 

Properties

 

  1. Description (0 - Unbounded)
  2. DataFormat (0 - Unbounded)
  3. DataType (0 - Unbounded)

 

Relationships

 

  1. CollectionMethod (0 - Unbounded)

 


 

OutputMethod

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

AnalysisMethod

 

Look at existing objects; this may even include references to specific variables and their roles in known or proposed data sets.

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

SoftwareRequirement

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

ProgrammingRequirement

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

DataCollectionEvaluation

 

Identifies organizations, infrastructure needs, expertise, budget, capacity, etc.

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

StaffingRequirements

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

EquipmentRequirements

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

TravelRequirements

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

DisseminationRequirements

 

Would include specific fundedr requirements, requirements of target publications - relationship to some organization where data is deposited

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

DataAccessRequirements

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

TrainingRequirements

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

DependentVariables

 

Groups Conceptual Variables or RepresentedVariables

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

IndependentVariables

 

Groups Conceptual Variables or RepresentedVariables

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

ControlVariables

 

Groups Conceptual Variables or RepresentedVariables

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

ProjectTimetable

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

FundingSources

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

DataManagementPlan

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

ProjectProposal

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

FunderRequrements

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

FunderApplication

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

InternalReview

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

ApplicationProcess

 

Links to a Process description - would need a proicess step status field

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

ExpertList

 

Groups a set of qualified individuals.

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

AccessGrantingBodies

 

Organizations needed to grant access to the population of the study or sources of data such as administrative records.

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

InstrumentUseRequirements

 

Legal and financial requirements to use or modify instruments (proprietary scales, etc.)

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

SamplingMethod

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

SubUniverse

 

Sub-populations which will have special sampling applied to them. May not be needed if normal Universe is hierarchical.

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

SamplingFrame

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

SamplingStrategy

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

WeightingStrategy

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

RespondentPool

 

An identification of the individuals who will act as respondents to study the identified population. Would have a reference to an instrument.

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

Question

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

Instrument

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

Questionnaire

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

Category

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

Codelist

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

InstrumentFlow

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

ValidationRule

 

Rules for conducting the questionnaire, and checks made during administration of the questionnaire.

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

InstrumentAssessment

 

Includes all the possiblke ways of assessing the goodness of an Instrument - prior use, modifications to questions or addition of administrative sources, etc.

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

DerivedVariables

 

Groups RepresentedVariables which are created through computatiuon.

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

Derivation

 

Take from 3.2 - associated with each derived variable.

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

TextCoding

 

Query: Is this just a type of derivation?

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

ProcessingMethod

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

ValidationTransformationRule

 

The rules for data cleaning and processing/editing.

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

DataManipulationProcess

 

This is whatever set of process steps are used to transform the raw data into the data set used for analysis.

 

Properties

 

  1. xxxx (0 - Unbounded)

 

Relationships

 


 

AnalysisPlan

 

Properties

 

Relationships

 

  1. AnalysisMethod (0 - Unbounded)

 


 

TrainingPlan

 

Properties

 

Relationships

 

  1. TrainingRequirements (0 - Unbounded)

 


 

StaffingPlan

 

Properties

 

Relationships

 

  1. StaffingRequirements (0 - Unbounded)

 


 

FacilityRequirements

 

Includes requirements like computing infrastructure

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

EthicalRequirements

 

Properties

 

  1. ApplicableRegulation (0 - Unbounded)

 

Relationships

 


 

EthicalConductPlan

 

Describes the process for meeting ethics requirements

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

Project

 

Properties

 

  1. Name (1 - 1)
  2. Purpose (1 - 1)

 

Relationships

 


 

Budget

 

The project budget.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

Duration

 

Overall project duration.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

LeadOrganization

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

PartnerOrganization

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

ResearchInstitutionRequirements

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

Policy

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

PlanCreationDate

 

The creation date of a data management plan. This may just be a property of other objects.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

TargetAudience

 

The target audience for a DMP.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

CollectionRationale

 

Why do you need to collect new data.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

DataFormatRationale

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

QualityAssuranceCriteria

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

QualityManagementPlan

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

RelationToExistingData

 

Existing comparable/harmonized data sets - includes description of methodology.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

DataIntegrationPlan

 

How new data be integrated with existing data.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

ValueAddedRationale

 

How new data will ehance the overall research picture beyond existing data (coverage, detail, etc.)

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

NeededContext

 

Describes needed documentation of the research context.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

MetadataCaptureMethod

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

MetadataForm

 

Standard or format of metadata.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

MetadataFormRationale

 

Excuses why you didn't documebnt squat.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

IntellectualPropertyRights

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 

  1. RightsOwner (0 - Unbounded)

 


 

LicensingPlan

 

The plan for licensing data for use - can include details about release timing, etc. (May use existing embargo object from 3.2).

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

DisputeResolutionProcess

 

For multi-partner research.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

AccessProcessPlan

 

Properties

 

  1. Cost (0 - 1)

 

Relationships

 


 

AccessControlRationale

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

TargetDataUsers

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

DataReuseExpectation

 

What are the expectations for data reuse as regards new technology, metadata, formats, etc.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

ShortTermStoragePlan

 

Includes data transfer.

 

Properties

 

  1. StorageLocation (0 - Unbounded)

 

Relationships

 


 

LongTermStoragePlan

 

Includes data transfer

 

Properties

 

  1. StorageLocation (0 - Unbounded)

 

Relationships

 


 

DataBackupPlan

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

AccessControlPlan

 

Timeline property may need to be its own object.

 

Properties

 

  1. Timeline (0 - Unbounded)

 

Relationships

 

  1. SecurityIssues (0 - Unbounded)

 


 

SecurityIssues

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

DataCurationPlan

 

Plan for data curation, archiving, and preservation. Includes a description of what data will preserved.

 

Properties

 

  1. IntendedArchive (0 - Unbounded)

 

Relationships

 

  1. RelevantStandard (0 - Unbounded)

 


 

DataLifeExpectancy

 

How long after the end of the project will the data be available and relevant, and details about data disposal.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

DataCurationProcess

 

Points to a process. Includes details about data cleaning and anonymization.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

PreservationMetadataPlan

 

How will data be documented for long-term use.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

MetadataCapturePlan

 

How and who will metadata/documentation be captured?

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

CitationMethod

 

DOIs? Etc.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

LongTermMaintainer

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

MainenanceResponsibilityTransferProcess

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

DMPImplementation

 

Staff and organization for implementing the data management plan.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

LongTermBudget

 

What is budget for long-term data management.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships

 


 

DMPEnforcementPlan

 

Includes information about reviews, etc.

 

Properties

 

  1. (0 - Unbounded)

 

Relationships