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Name |
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Comment |
See documentation on MD_Prospect. |
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Dimensional Type |
Dimension |
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SELECT |
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Name |
Child Table/View |
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ViewReference_5 |
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ViewReference_6 |
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ViewReference_8 |
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ViewReference_11 |
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ViewReference_11 |
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ViewReference_15 |
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ViewReference_15 |
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ViewReference_34 |
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ViewReference_34 |
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ViewReference_38 |
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ViewReference_89 |
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ViewReference_95 |
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Name |
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Name |
Code |
Type |
Target Package |
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View |
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View |
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View |
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View |
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Name |
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Grant |
User |
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SELECT,VIEW DEFINITION |
FinancialAidReader |
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SELECT,VIEW DEFINITION |
FinancialAidReader |
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SELECT,VIEW DEFINITION |
ProspectViewReader |
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SELECT,VIEW DEFINITION |
ProspectViewReader |
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SELECT,VIEW DEFINITION |
StudentReader |
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SELECT,VIEW DEFINITION |
StudentReader |
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SELECT,VIEW DEFINITION |
SurveyReader |
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SELECT,VIEW DEFINITION |
SurveyReader |
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Name |
Data Type |
Comment |
Length |
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MD_Prosp_SurrogateKey |
numeric |
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MD_Prosp_RecruitmentPlusPKID |
int |
Unique identifier in Recruitment Plus. Mandatory in Recruitment Plus, so mandatory (without a default) in the data warehouse as well. |
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MD_Pers_HomeAddrNonUSProvince |
nvarchar(64) |
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MD_Pers_CommonName |
nvarchar(64) |
Full legal name, with middle name or initial. Does not include honorifics unless these are part of the legal name and are available in the system from which the data is derived. This field is mandatory and has no default. |
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MD_PERS_LASTTHENFIRSTNAME |
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MD_Pers_Surname |
nvarchar(32) |
Surname in the US means the same thing as "last name." Does not include suffixes like Jr., or honorifics. |
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MD_Pers_GivenName |
nvarchar(32) |
Given name in the US typically means the same thing as "first name." Default value is "missing". |
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MD_Pers_Gender |
varchar(7) |
Must be Male, Female, or Unknown. |
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MD_Pers_Citizenship |
nvarchar(64) |
A country name, not code. It is not guaranteed that all values for this attribute will be consistent across all dimensions. For example, citizenship for a prospective student in MD_Prospect (populated from Recruitment Plus) may be "Czek Republic," while citizenship for that same person in MD_DegreeStudent may be "Czekoslovakia". It would be nice to have these values all be consistent across the campus, but doing so would constitute a project in and of itself. Defaults to 'Unknown'. |
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MD_Pers_AgeRange |
varchar(12) |
Age of person, discretized into a set of ranges useful for reporting and demographic classification. If age is unknown, the value of this attribute will be "Unknown." |
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MD_Pers_HomeAddrCity |
nvarchar(32) |
City of home address. E.g., if my home address is 203 Woodley Street West, Northfield, MN 55057 USA, then my city is 'Northfield'. If my home address is unavailable, and all we have is a mailing address, we use the mailing address (in preference to nothing at all) because, presumably, I receive mail somewhere near where I live, or in a place I spend a lot of time. |
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MD_Pers_HomeAddrUSState |
varchar(24) |
State of home address. E.g., if my home address is 203 Woodley Street West, Northfield, MN 55057 USA, then my state is 'Minnesota'. If I live outside the US, this attribute will be 'Not Applicable'. If no home address is available for me, the value will be 'Unknown'. If my home address is unavailable, and all we have is a mailing address, we use the mailing address (in preference to nothing at all) because, presumably, I receive mail somewhere near where I live, or in a place where I spend a lot of time. |
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MD_Pers_HomeAddr5DigitUSZip |
char(5) |
5-digit US zipcode. Five digits (and not nine) because this attribute is intended for aggregate spatial analysis, i.e., for grouping people and things into geographical units. It's not meant to identify individual people or addresses, which is not something one typically does in a data warehouse. If you need details about where someone lives, exactly, use Microsoft Access to join data here to data in the appropriate transactional system (e.g., Recruitment Plus, Colleague, or Advance). Defaults to '0000'. |
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MD_Pers_HomeAddrUSRegionFIPS |
varchar(64) |
Contains the FIPS US region (e.g., "Middle Atlantic" or "New England"). Defaults to "Unknown." Used for various reporting. Compare the USRegionCarleton, which is also used for institutional reporting. Everyone is encouraged to use one of these two systems, if at all possible - for consistency's sake. |
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MD_Pers_HomeAddrUSRegionCarleton |
varchar(64) |
Contains the US region (e.g., "Middle States" or "New England"). Defaults to "Unknown." Used for various Carleton reports. Compare the USRegionFIPS, which is also used for various reports. Everyone is encouraged to use one of these two systems, if at all possible - for consistency's sake. |
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MD_Pers_HomeAddrCountry |
nvarchar(64) |
DO NOT USE THIS FIELD FOR SERIOUS REPORTING. The data is entered for operational/addressing purposes, and is not of sufficiently high quality to work for analysis. |
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MD_Pers_HomeAddrLatitude |
float |
Latitude of home address, as a floating point number. Best populated for US addresses, and populated in a very coarse fashion for those (using the zipcode) before late summer 2011. |
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MD_Pers_HomeAddrLongitude |
float |
Longitude of home address, as a floating point number (negative = west longitude). Best populated for US addresses, and populated in a very coarse fashion for those (using the zipcode) before late summer 2011. |
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MD_Pers_HomeAddrMilesFromCampus |
float |
Distance in miles from Carleton main campus. Populated using the home address latitude and longitude, and only for US addresses with a zipcode. The value here has poor resolution and should not be used except for very general groupings (nothing with a resolution less than twenty miles). Eventually we may license a geocoding service, and populate this attribute well. Until then, YMMV. |
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MD_Pers_IsNonResidentAlien |
varchar(7) |
"Yes" if the person in question is not a citizen or national of the United States and who is in the United States on a visa or temporary basis and does not have the right to remain indefinitely. "No" otherwise. |
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MD_Pers_IsOfUnknownRaceEthnicity |
char(3) |
"Yes" if neither the race nor ethnicity is known. "No" otherwise. Calculated from Race and IsHispanicOrLatino, as well as from OLDPrimaryRaceList. If the old race list is empty or 'Unknown' and if Race is 'Unknown', and IsHispanicOrLatino = 'Unknown' or 'No', then this attribute will be 'No'. It basically means we don't know enough to classify someone by ethnicity or race, in either the old or the new 2010 census system. |
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MD_Pers_IsHispanicOrLatino |
varchar(7) |
Census requires that we ask first if a person is Hispanic, Latino, or of Spanish origin. This is the 'ethnicity' question. We may then ask a 'race' question. If the person in question lists Hispanic ethicity (or in the 'old' pre-2010 system) lists Hispanic as their 'race' then this attribute will be 'Yes'. If not, then 'no'. If no information is available, then 'Unknown'. |
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MD_Pers_Race |
varchar(64) |
Holds the person's race. This attribute can be treated as "primary race" although the way this information is collected makes the two not entirely equivalent, since in some cases Carleton may choose to collect fuller information on people of multiple races. |
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MD_Pers_OLDPrimaryRace |
varchar(64) |
Until the census-2010 race/ethnicity system is fully implemented, this is our main "race" attribute. It should eventually become, hence the designation "old." It will still be populated, however, even after we have converted to the new census 2010 system, so that we can report easily across multiple years, both before and after the transition. And it is the only attribute you can reliably use to report on ethnicity data, longitudinally, before and after the transition (which began in late 2009). |
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MD_PERS_OLDIPEDSETHNICITY |
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Like MD_Pers_OLDPrimaryRace, but with alien status marked as a race. This is a standard IPEDS reporting (as opposed to "collection") category. |
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MD_PERS_IPEDSETHNICITY |
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MD_PERS_CROSSWALKEDIPEDSETHNICITY |
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Uses new Census 2010 race/ethnicity categories if available, but otherwise maps old categories to the new system. Note that a racial status of Pacific Islander cannot be reconstructed from pre-2010 race/ethnicity information. All such people will appear as Asian. |
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MD_Prosp_StudentType |
varchar(16) |
Type of student, i.e., Transfer, Freshman, Non-Degree, International, for most recent application. This is not the same as the 'student status' value in Colleague, although some values here look similar. This field is geared towards helping us determine what deadlines, workflows, and processes should apply to a given student (which will differ depending on whether they're looking to transfer, become a freshman, etc.). |
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MD_Prosp_StatusCategory |
varchar(32) |
Generalized version of prospect status. Coalesces detailed states into broad categories. E.g., students who have applied, been waitlisted, etc. are all listed as 'applied.' Generally useful for broad counts, yield calculations, and so on. Typically far more useful than Status. Every prospect will have both a Status and a StatusCategory (with no blank or 'Unknown' values). |
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MD_Prosp_Status |
varchar(64) |
Detailed characterization of student's status. E.g., someone who's general status category is 'Applied' may have applied, been waitlisted, etc. This field breaks out all these detailed states. Typically less useful than StatusCategory. Every prospect will have both a Status and a StatusCategory (with no blank or 'Unknown' values). From R+ DataStu view. |
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MD_Prosp_HasAppliedOrWill |
varchar(7) |
"Yes" if a student has applied, "no" if not and the application deadline for the student's EntryTermYear has passed. "Unknown" if the student has not applied, and the application deadline for the student's EntryTermYear has not passed. Note that the definition of having applied is taken directly from Recruitment Plus, which considers people who have initiated the application process (but whose applications are not complete) as applicants. |
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MD_Prosp_HasBeenAdmittedOrWill |
varchar(7) |
"Yes" if a student has been admitted (i.e., has a status category of Admit, Deposit, or Matriculant). "No" if either 1) a student has not applied and the application deadline has passed for his/her EntryTermYear, or 2) a student has applied but has a status category that is not Admit, Deposit, or Matriculant and a status that is not "Wait Listed", and the decision deadline has passed. Otherwise the value here is "Unknown". |
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MD_Prosp_HasMatriculatedOrWill |
varchar(7) |
"Yes" if a student has matriculated (which we define here as having a status category of Matriculant). "No" if either 1) a student has not applied and the application deadline has passed for his/her EntryTermYear, or 2) a student has applied but has a status category that is not Matriculant and a status that is not "Wait Listed", and the decision deadline has passed. Otherwise the value here is "Unknown". |
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MD_Prosp_LegacyType |
varchar(32) |
Prospects often have family members that attended Carleton, or possess other characteristics that need to be taken into account in the admissions process. This attribute records these characteristics. Possible values include: Alumnus/a, First Generation Student, Parent(s), and Sibling(s). In Recruitment Plus, the value here may also be NULL, which we translate here to "None". |
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MD_Prosp_IsNationalMeritScholar |
varchar(7) |
This data is kept by Student Financial Services, not Admissions (oddly). The data therefore will come from Colleague eventually. For now we load it from a custom field in Recruitment Plus (DataStuCust), but the data there is not entirely reliable. |
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MD_Prosp_IsFirstGenerationCollege |
varchar(7) |
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MD_Prosp_AnticipatedMajor |
varchar(64) |
Carleton major that an applicant indicates he or she is interested in. Here we restrict our majors to those with the category of 'Carleton Majors' in DataStuAppAcad in Recruitment Plus. This attribute is single-valued (even if there are methods by which an applicant can specify multiple majors). Defaults to 'Unknown' if the prospect has not applied. If the prospect has applied, but listed no major, this attribute will have the value 'Unspecified'. |
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MD_Prosp_AnticipatedMajor2 |
varchar(64) |
If a student indicates interest in multiple majors on his/her application, we place the second one here. We do not record the third (or others). The second is actually recorded in DataStuAppAcad, in the PreProfProg field. This attribute is single-valued (even if there are methods by which an applicant can specify multiple majors). Defaults to 'Unknown' if the prospect has not applied. If the prospect has applied, but listed no major, this attribute will have the value 'Unspecified'. |
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MD_Prosp_HomeRPlusGeomarket |
nvarchar(64) |
The full name of the area where the applicant lives. This attribute contains values more useful for outreach and marketing than traditional zipcodes (which are too small) and counties (which aren't appropriately situated and vary widely and arbitrarily in size from state to state). Defaults to 'Unknown'. The value here corresponds to DataStu.HomeGeomDescr in Recruitment Plus. |
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MD_Prosp_ProjectedEntryTerm |
char(7) |
Term that a prospect is projected (or has applied) for entrance. This is a mandatory field in Recruitment Plus, so we make it mandatory in the warehouse. If unknown, defaults to 'Unknown.' |
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MD_Prosp_ProjectedEntryTermYear |
int |
Year of term that a prospect is projected (or has applied) for entrance. Calculated from the term. The term is a mandatory field in Recruitment Plus, so this field can be mandatory in the warehouse as well. We have a default of 9999, though, just in case. 9999 should be taken as equivalent to "Unknown." |
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MD_Prosp_BestSATScoreRange |
varchar(16) |
Discretized three-part SAT score. If that sounds like jargon, then try this: SAT score aggregated into a range like "1850-1899." Note that we do not store self-reported SAT scores (where the 'Source' in Recruitment Plus is 'Student'). If the student took the SAT in question before it had three parts, this attribute will be set to 'Not Applicable'. Otherwise it defaults to 'Unknown'. |
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MD_Prosp_BestMathVerbalScoreRange |
char(9) |
Best Math + Verbal (or Critical Reading) score. Note that this attribute is populated for both two-part and three-part SAT tests. Defaults, in the absence of test information, to 'Unknown'. |
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MD_Prosp_BestSATMathRange |
char(7) |
Best overall math section score for SAT I test, renormalized to fit a set of ranges (i.e., discretized score). Note that we don't store self-reported SAT scores. Defaults (if information is missing) to 'Unknown'. |
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MD_Prosp_BestSATWritingRange |
char(7) |
Best overall writing score for SAT I exam, discretized in the sense of being aggregated into a range of scores, like 750-800. Note that we don't store self-reported scores. Defaults to 'Unknown' (which frequently happens in cases when a given SAT test was administered before the Writing component was introduced). |
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MD_Prosp_BestSATCriticalReadingRange |
char(7) |
Best critical reading section score for SAT test, renormalized to fit a twelve-range (50-point chunk) scale. The critical reading test succeeded the old "verbal" section in 2006. |
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MD_Prosp_BestACTScoreRange |
char(7) |
Discretized ACT composite score. I.e., ACT score that's been put into a range (e.g., 26-30). This is more useful as a label on a report or graph than a raw ACT score. Defaults (if no ACT score is available) to 'Unknown'. |
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MD_Prosp_BestTOEFLiBTScoreRange |
varchar(12) |
Discretized TOEFL Internet-Based Test of English as a Foreign Language. I.e., this attribute holds a range (e.g., 110-120) instead of a composite TOEFL iBT score (like 112). Ranges are easier to use than raw scores as labels on graphs or reports. Defaults, if no TOEFL information is available, to 'Unknown'. |
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MD_Prosp_BestTOEFLiBTReadingRange |
varchar(12) |
Discretized TOEFL Internet-Based Test of English as a Foreign Language reading score. I.e., this attribute holds a range (like 27-30) instead of an exact TOEFL iBT reading score (e.g., 28). Ranges are easier to use than raw scores as labels on graphs or reports. Defaults, if no TOEFL information is available, to 'Unknown'. |
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MD_Prosp_BestTOEFLiBTListeningRange |
varchar(12) |
Discretized TOEFL Internet-Based Test of English as a Foreign Language listening component score. I.e., this attribute holds a range (like 27-30) instead of an exact TOEFL iBT listening score (e.g., 28). Ranges are easier to use than raw scores as labels on graphs or reports. Defaults, if no TOEFL information is available, to 'Unknown'. |
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