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 - xxxx (0 - Unbounded)
Relationships
AnnotatedBibliography Properties - Topic (0 - Unbounded)
Relationships
Citation Points to research or theory. Properties - xxxx (0 - Unbounded)
Relationships
Annotation Properties - xxxx (0 - Unbounded)
Relationships
Concept Properties - xxxx (0 - Unbounded)
Relationships
Universe Properties - xxxx (0 - Unbounded)
Relationships
DataCitation Properties - xxxx (0 - Unbounded)
Relationships
AccessConsiderations We need to look at existing stuff in 3.2. Properties - xxxx (0 - Unbounded)
Relationships
DataEvaluation Properties - xxxx (0 - Unbounded)
Relationships
PossibleOutput This would include data sets, publications, and visualizations Properties - xxxx (0 - Unbounded)
Relationships
DataSet Might be tabulated data - this is what you might produce. Properties - Description (0 - Unbounded)
- DataFormat (0 - Unbounded)
- DataType (0 - Unbounded)
Relationships - CollectionMethod (0 - Unbounded)
OutputMethod Properties - 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 - xxxx (0 - Unbounded)
Relationships
SoftwareRequirement Properties - xxxx (0 - Unbounded)
Relationships
ProgrammingRequirement Properties - xxxx (0 - Unbounded)
Relationships
DataCollectionEvaluation Identifies organizations, infrastructure needs, expertise, budget, capacity, etc. Properties - xxxx (0 - Unbounded)
Relationships
StaffingRequirements Properties - xxxx (0 - Unbounded)
Relationships
EquipmentRequirements Properties - xxxx (0 - Unbounded)
Relationships
TravelRequirements Properties - xxxx (0 - Unbounded)
Relationships
DisseminationRequirements Would include specific fundedr requirements, requirements of target publications - relationship to some organization where data is deposited Properties - xxxx (0 - Unbounded)
Relationships
DataAccessRequirements Properties - xxxx (0 - Unbounded)
Relationships
TrainingRequirements Properties - xxxx (0 - Unbounded)
Relationships
DependentVariables Groups Conceptual Variables or RepresentedVariables Properties - xxxx (0 - Unbounded)
Relationships
IndependentVariables Groups Conceptual Variables or RepresentedVariables Properties - xxxx (0 - Unbounded)
Relationships
ControlVariables Groups Conceptual Variables or RepresentedVariables Properties - xxxx (0 - Unbounded)
Relationships
ProjectTimetable Properties - xxxx (0 - Unbounded)
Relationships
FundingSources Properties - xxxx (0 - Unbounded)
Relationships
DataManagementPlan Properties - xxxx (0 - Unbounded)
Relationships
ProjectProposal Properties - xxxx (0 - Unbounded)
Relationships
FunderRequrements Properties - xxxx (0 - Unbounded)
Relationships
FunderApplication Properties - xxxx (0 - Unbounded)
Relationships
InternalReview Properties - xxxx (0 - Unbounded)
Relationships
ApplicationProcess Links to a Process description - would need a proicess step status field Properties - xxxx (0 - Unbounded)
Relationships
ExpertList Groups a set of qualified individuals. Properties - 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 - xxxx (0 - Unbounded)
Relationships
InstrumentUseRequirements Legal and financial requirements to use or modify instruments (proprietary scales, etc.) Properties - xxxx (0 - Unbounded)
Relationships
SamplingMethod Properties - 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 - xxxx (0 - Unbounded)
Relationships
SamplingFrame Properties - xxxx (0 - Unbounded)
Relationships
SamplingStrategy Properties - xxxx (0 - Unbounded)
Relationships
WeightingStrategy Properties - 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 - xxxx (0 - Unbounded)
Relationships
Question Properties - xxxx (0 - Unbounded)
Relationships
Instrument Properties - xxxx (0 - Unbounded)
Relationships
Questionnaire Properties - xxxx (0 - Unbounded)
Relationships
Category Properties - xxxx (0 - Unbounded)
Relationships
Codelist Properties - xxxx (0 - Unbounded)
Relationships
InstrumentFlow Properties - xxxx (0 - Unbounded)
Relationships
ValidationRule Rules for conducting the questionnaire, and checks made during administration of the questionnaire. Properties - 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 - xxxx (0 - Unbounded)
Relationships
DerivedVariables Groups RepresentedVariables which are created through computatiuon. Properties - xxxx (0 - Unbounded)
Relationships
Derivation Take from 3.2 - associated with each derived variable. Properties - xxxx (0 - Unbounded)
Relationships
TextCoding Query: Is this just a type of derivation? Properties - xxxx (0 - Unbounded)
Relationships
ProcessingMethod Properties - xxxx (0 - Unbounded)
Relationships
ValidationTransformationRule The rules for data cleaning and processing/editing. Properties - 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 - xxxx (0 - Unbounded)
Relationships
AnalysisPlan Properties Relationships - AnalysisMethod (0 - Unbounded)
TrainingPlan Properties Relationships - TrainingRequirements (0 - Unbounded)
StaffingPlan Properties Relationships - StaffingRequirements (0 - Unbounded)
FacilityRequirements Includes requirements like computing infrastructure Properties - (0 - Unbounded)
Relationships
EthicalRequirements Properties - ApplicableRegulation (0 - Unbounded)
Relationships
EthicalConductPlan Describes the process for meeting ethics requirements Properties - (0 - Unbounded)
Relationships
Project Properties - Name (1 - 1)
- Purpose (1 - 1)
Relationships
Budget The project budget. Properties - (0 - Unbounded)
Relationships
Duration Overall project duration. Properties - (0 - Unbounded)
Relationships
LeadOrganization Properties - (0 - Unbounded)
Relationships
PartnerOrganization Properties - (0 - Unbounded)
Relationships
ResearchInstitutionRequirements Properties - (0 - Unbounded)
Relationships
Policy Properties - (0 - Unbounded)
Relationships
PlanCreationDate The creation date of a data management plan. This may just be a property of other objects. Properties - (0 - Unbounded)
Relationships
TargetAudience The target audience for a DMP. Properties - (0 - Unbounded)
Relationships
CollectionRationale Why do you need to collect new data. Properties - (0 - Unbounded)
Relationships
DataFormatRationale Properties - (0 - Unbounded)
Relationships
QualityAssuranceCriteria Properties - (0 - Unbounded)
Relationships
QualityManagementPlan Properties - (0 - Unbounded)
Relationships
RelationToExistingData Existing comparable/harmonized data sets - includes description of methodology. Properties - (0 - Unbounded)
Relationships
DataIntegrationPlan How new data be integrated with existing data. Properties - (0 - Unbounded)
Relationships
ValueAddedRationale How new data will ehance the overall research picture beyond existing data (coverage, detail, etc.) Properties - (0 - Unbounded)
Relationships
NeededContext Describes needed documentation of the research context. Properties - (0 - Unbounded)
Relationships
MetadataCaptureMethod Properties - (0 - Unbounded)
Relationships
MetadataForm Standard or format of metadata. Properties - (0 - Unbounded)
Relationships
MetadataFormRationale Excuses why you didn't documebnt squat. Properties - (0 - Unbounded)
Relationships
IntellectualPropertyRights Properties - (0 - Unbounded)
Relationships - 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 - (0 - Unbounded)
Relationships
DisputeResolutionProcess For multi-partner research. Properties - (0 - Unbounded)
Relationships
AccessProcessPlan Properties - Cost (0 - 1)
Relationships
AccessControlRationale Properties - (0 - Unbounded)
Relationships
TargetDataUsers Properties - (0 - Unbounded)
Relationships
DataReuseExpectation What are the expectations for data reuse as regards new technology, metadata, formats, etc. Properties - (0 - Unbounded)
Relationships
ShortTermStoragePlan Includes data transfer. Properties - StorageLocation (0 - Unbounded)
Relationships
LongTermStoragePlan Includes data transfer Properties - StorageLocation (0 - Unbounded)
Relationships
DataBackupPlan Properties - (0 - Unbounded)
Relationships
AccessControlPlan Timeline property may need to be its own object. Properties - Timeline (0 - Unbounded)
Relationships - SecurityIssues (0 - Unbounded)
SecurityIssues Properties - (0 - Unbounded)
Relationships
DataCurationPlan Plan for data curation, archiving, and preservation. Includes a description of what data will preserved. Properties - IntendedArchive (0 - Unbounded)
Relationships - 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 - (0 - Unbounded)
Relationships
DataCurationProcess Points to a process. Includes details about data cleaning and anonymization. Properties - (0 - Unbounded)
Relationships
PreservationMetadataPlan How will data be documented for long-term use. Properties - (0 - Unbounded)
Relationships
MetadataCapturePlan How and who will metadata/documentation be captured? Properties - (0 - Unbounded)
Relationships
CitationMethod DOIs? Etc. Properties - (0 - Unbounded)
Relationships
LongTermMaintainer Properties - (0 - Unbounded)
Relationships
MainenanceResponsibilityTransferProcess Properties - (0 - Unbounded)
Relationships
DMPImplementation Staff and organization for implementing the data management plan. Properties - (0 - Unbounded)
Relationships
LongTermBudget What is budget for long-term data management. Properties - (0 - Unbounded)
Relationships
DMPEnforcementPlan Includes information about reviews, etc. Properties - (0 - Unbounded)
Relationships
|